The conference programme consists of keynote speeches and paper sessions. The final programme is presented below.<\/p>\n\n\n\n
The conference takes place at Tiedepuisto<\/strong>, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall<\/a><\/strong> and two other locations in the same building, and they will be streamed for online participants. The links will be sent for registered participants.<\/p>\n\n\n\nThe conference booklet has been sent to the registered participants.<\/strong><\/p>\n\n\n\nThe programme outline is provided below, followed by details of the paper and abstract sessions.<\/em><\/p>\n\n\n\nThursday 29th<\/sup><\/h2>\n\n\n\n8:30-9:30 Registration desk opens and Morning coffee is served<\/p>\n\n\n\n9:30-9:45 Opening of the Conference \u2013 Welcome to FLAIEC 2026: <\/strong>Vice rector, Professor Laura Hirsto<\/p>\n\n\n\n9:45-10:30 Keynote 1<\/strong>: Professor Bart Rienties Is there still a need for learning analytics in the age of AI: lessons learned from the Open University UK<\/em><\/p>\n\n\n\n10:30-10:40 BREAK<\/p>\n\n\n\n10:40-12:00 Paper Session 1<\/strong><\/p>\n\n\n\n12:00-13:00 Lunch & coffee<\/p>\n\n\n\n13:00-13:45 Keynote 2<\/strong>: Professor P\u00e4ivi H\u00e4kkinen From Foundations to Futures: Redefining Computer-Supported Collaborative Learning in the Age of AI<\/em><\/p>\n\n\n\n13:45-13:55 BREAK<\/p>\n\n\n\n13:55-14:50 Parallel sessions<\/strong>: Abstract Session 2 (Orange Hall) & Abstract Session 3 (Room TB248)<\/p>\n\n\n\n14:50-15:00 Break<\/p>\n\n\n\n15:00-15:55 Parallel sessions<\/strong>: Abstract Session 4 (Orange Hall) & Abstract Session 5 (Room TB248)<\/p>\n\n\n\n15:55-16:30 Coffee<\/p>\n\n\n\n16:30-18:00 Paper Session 6<\/strong> (TB248)<\/p>\n\n\n\n19:00-21:00 Dinner (Orange Hall)<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nFriday 30th<\/sup><\/h2>\n\n\n\n8:30-9:00 Morning coffee<\/p>\n\n\n\n9:00-9:45 Keynote 3<\/strong>: Senior Lecturer Eduardo Oliveira Scaffolding Responsible Human\u2013AI Collaboration in Higher Education: Assuring Learning through Agency, Evidence, and Trust<\/em><\/p>\n\n\n\n 9:45-9:55 BREAK<\/p>\n\n\n\n9:55-11:55 Paper Sessions 7a & 7b<\/strong> (Orange Hall)<\/p>\n\n\n\n11:55-12:55 Lunch & coffee<\/p>\n\n\n\n12:55-13:40 Keynote 4<\/strong>: Professor Teemu Roos AI in Education: Ruptures and Frontiers<\/em><\/p>\n\n\n\n13:40-13:50 BREAK<\/p>\n\n\n\n13:50-15:10 Parallel Sessions:<\/strong> Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)<\/p>\n\n\n\n15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nPaper and Abstract Sessions<\/h1>\n\n\n\n<\/p>\n\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 1 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tP<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. 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The conference booklet has been sent to the registered participants.<\/strong><\/p>\n\n\n\nThe programme outline is provided below, followed by details of the paper and abstract sessions.<\/em><\/p>\n\n\n\nThursday 29th<\/sup><\/h2>\n\n\n\n8:30-9:30 Registration desk opens and Morning coffee is served<\/p>\n\n\n\n9:30-9:45 Opening of the Conference \u2013 Welcome to FLAIEC 2026: <\/strong>Vice rector, Professor Laura Hirsto<\/p>\n\n\n\n9:45-10:30 Keynote 1<\/strong>: Professor Bart Rienties Is there still a need for learning analytics in the age of AI: lessons learned from the Open University UK<\/em><\/p>\n\n\n\n10:30-10:40 BREAK<\/p>\n\n\n\n10:40-12:00 Paper Session 1<\/strong><\/p>\n\n\n\n12:00-13:00 Lunch & coffee<\/p>\n\n\n\n13:00-13:45 Keynote 2<\/strong>: Professor P\u00e4ivi H\u00e4kkinen From Foundations to Futures: Redefining Computer-Supported Collaborative Learning in the Age of AI<\/em><\/p>\n\n\n\n13:45-13:55 BREAK<\/p>\n\n\n\n13:55-14:50 Parallel sessions<\/strong>: Abstract Session 2 (Orange Hall) & Abstract Session 3 (Room TB248)<\/p>\n\n\n\n14:50-15:00 Break<\/p>\n\n\n\n15:00-15:55 Parallel sessions<\/strong>: Abstract Session 4 (Orange Hall) & Abstract Session 5 (Room TB248)<\/p>\n\n\n\n15:55-16:30 Coffee<\/p>\n\n\n\n16:30-18:00 Paper Session 6<\/strong> (TB248)<\/p>\n\n\n\n19:00-21:00 Dinner (Orange Hall)<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nFriday 30th<\/sup><\/h2>\n\n\n\n8:30-9:00 Morning coffee<\/p>\n\n\n\n9:00-9:45 Keynote 3<\/strong>: Senior Lecturer Eduardo Oliveira Scaffolding Responsible Human\u2013AI Collaboration in Higher Education: Assuring Learning through Agency, Evidence, and Trust<\/em><\/p>\n\n\n\n 9:45-9:55 BREAK<\/p>\n\n\n\n9:55-11:55 Paper Sessions 7a & 7b<\/strong> (Orange Hall)<\/p>\n\n\n\n11:55-12:55 Lunch & coffee<\/p>\n\n\n\n12:55-13:40 Keynote 4<\/strong>: Professor Teemu Roos AI in Education: Ruptures and Frontiers<\/em><\/p>\n\n\n\n13:40-13:50 BREAK<\/p>\n\n\n\n13:50-15:10 Parallel Sessions:<\/strong> Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)<\/p>\n\n\n\n15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nPaper and Abstract Sessions<\/h1>\n\n\n\n<\/p>\n\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 1 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tP<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. 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The links will be sent for […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:site_name\" content=\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-15T17:08:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"name\":\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\"},\"datePublished\":\"2022-01-19T12:57:02+00:00\",\"dateModified\":\"2026-10-15T17:08:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Programme\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"contentUrl\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"width\":250,\"height\":250,\"caption\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\"},\"image\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sites.uef.fi\/flaiec\/programme\/","og_locale":"en_US","og_type":"article","og_title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","og_description":"The conference programme consists of keynote speeches and paper sessions. 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The programme outline is provided below, followed by details of the paper and abstract sessions.<\/em><\/p>\n\n\n\nThursday 29th<\/sup><\/h2>\n\n\n\n8:30-9:30 Registration desk opens and Morning coffee is served<\/p>\n\n\n\n9:30-9:45 Opening of the Conference \u2013 Welcome to FLAIEC 2026: <\/strong>Vice rector, Professor Laura Hirsto<\/p>\n\n\n\n9:45-10:30 Keynote 1<\/strong>: Professor Bart Rienties Is there still a need for learning analytics in the age of AI: lessons learned from the Open University UK<\/em><\/p>\n\n\n\n10:30-10:40 BREAK<\/p>\n\n\n\n10:40-12:00 Paper Session 1<\/strong><\/p>\n\n\n\n12:00-13:00 Lunch & coffee<\/p>\n\n\n\n13:00-13:45 Keynote 2<\/strong>: Professor P\u00e4ivi H\u00e4kkinen From Foundations to Futures: Redefining Computer-Supported Collaborative Learning in the Age of AI<\/em><\/p>\n\n\n\n13:45-13:55 BREAK<\/p>\n\n\n\n13:55-14:50 Parallel sessions<\/strong>: Abstract Session 2 (Orange Hall) & Abstract Session 3 (Room TB248)<\/p>\n\n\n\n14:50-15:00 Break<\/p>\n\n\n\n15:00-15:55 Parallel sessions<\/strong>: Abstract Session 4 (Orange Hall) & Abstract Session 5 (Room TB248)<\/p>\n\n\n\n15:55-16:30 Coffee<\/p>\n\n\n\n16:30-18:00 Paper Session 6<\/strong> (TB248)<\/p>\n\n\n\n19:00-21:00 Dinner (Orange Hall)<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nFriday 30th<\/sup><\/h2>\n\n\n\n8:30-9:00 Morning coffee<\/p>\n\n\n\n9:00-9:45 Keynote 3<\/strong>: Senior Lecturer Eduardo Oliveira Scaffolding Responsible Human\u2013AI Collaboration in Higher Education: Assuring Learning through Agency, Evidence, and Trust<\/em><\/p>\n\n\n\n 9:45-9:55 BREAK<\/p>\n\n\n\n9:55-11:55 Paper Sessions 7a & 7b<\/strong> (Orange Hall)<\/p>\n\n\n\n11:55-12:55 Lunch & coffee<\/p>\n\n\n\n12:55-13:40 Keynote 4<\/strong>: Professor Teemu Roos AI in Education: Ruptures and Frontiers<\/em><\/p>\n\n\n\n13:40-13:50 BREAK<\/p>\n\n\n\n13:50-15:10 Parallel Sessions:<\/strong> Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)<\/p>\n\n\n\n15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nPaper and Abstract Sessions<\/h1>\n\n\n\n<\/p>\n\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 1 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tP<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:site_name\" content=\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-15T17:08:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"name\":\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\"},\"datePublished\":\"2022-01-19T12:57:02+00:00\",\"dateModified\":\"2026-10-15T17:08:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Programme\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"contentUrl\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"width\":250,\"height\":250,\"caption\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\"},\"image\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sites.uef.fi\/flaiec\/programme\/","og_locale":"en_US","og_type":"article","og_title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","og_description":"The conference programme consists of keynote speeches and paper sessions. 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8:30-9:30 Registration desk opens and Morning coffee is served<\/p>\n\n\n\n
9:30-9:45 Opening of the Conference \u2013 Welcome to FLAIEC 2026: <\/strong>Vice rector, Professor Laura Hirsto<\/p>\n\n\n\n9:45-10:30 Keynote 1<\/strong>: Professor Bart Rienties Is there still a need for learning analytics in the age of AI: lessons learned from the Open University UK<\/em><\/p>\n\n\n\n10:30-10:40 BREAK<\/p>\n\n\n\n10:40-12:00 Paper Session 1<\/strong><\/p>\n\n\n\n12:00-13:00 Lunch & coffee<\/p>\n\n\n\n13:00-13:45 Keynote 2<\/strong>: Professor P\u00e4ivi H\u00e4kkinen From Foundations to Futures: Redefining Computer-Supported Collaborative Learning in the Age of AI<\/em><\/p>\n\n\n\n13:45-13:55 BREAK<\/p>\n\n\n\n13:55-14:50 Parallel sessions<\/strong>: Abstract Session 2 (Orange Hall) & Abstract Session 3 (Room TB248)<\/p>\n\n\n\n14:50-15:00 Break<\/p>\n\n\n\n15:00-15:55 Parallel sessions<\/strong>: Abstract Session 4 (Orange Hall) & Abstract Session 5 (Room TB248)<\/p>\n\n\n\n15:55-16:30 Coffee<\/p>\n\n\n\n16:30-18:00 Paper Session 6<\/strong> (TB248)<\/p>\n\n\n\n19:00-21:00 Dinner (Orange Hall)<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nFriday 30th<\/sup><\/h2>\n\n\n\n8:30-9:00 Morning coffee<\/p>\n\n\n\n9:00-9:45 Keynote 3<\/strong>: Senior Lecturer Eduardo Oliveira Scaffolding Responsible Human\u2013AI Collaboration in Higher Education: Assuring Learning through Agency, Evidence, and Trust<\/em><\/p>\n\n\n\n 9:45-9:55 BREAK<\/p>\n\n\n\n9:55-11:55 Paper Sessions 7a & 7b<\/strong> (Orange Hall)<\/p>\n\n\n\n11:55-12:55 Lunch & coffee<\/p>\n\n\n\n12:55-13:40 Keynote 4<\/strong>: Professor Teemu Roos AI in Education: Ruptures and Frontiers<\/em><\/p>\n\n\n\n13:40-13:50 BREAK<\/p>\n\n\n\n13:50-15:10 Parallel Sessions:<\/strong> Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)<\/p>\n\n\n\n15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nPaper and Abstract Sessions<\/h1>\n\n\n\n<\/p>\n\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 1 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tP<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. 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The links will be sent for […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:site_name\" content=\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-15T17:08:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"name\":\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\"},\"datePublished\":\"2022-01-19T12:57:02+00:00\",\"dateModified\":\"2026-10-15T17:08:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Programme\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"contentUrl\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"width\":250,\"height\":250,\"caption\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\"},\"image\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sites.uef.fi\/flaiec\/programme\/","og_locale":"en_US","og_type":"article","og_title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","og_description":"The conference programme consists of keynote speeches and paper sessions. 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9:45-10:30 Keynote 1<\/strong>: Professor Bart Rienties Is there still a need for learning analytics in the age of AI: lessons learned from the Open University UK<\/em><\/p>\n\n\n\n10:30-10:40 BREAK<\/p>\n\n\n\n10:40-12:00 Paper Session 1<\/strong><\/p>\n\n\n\n12:00-13:00 Lunch & coffee<\/p>\n\n\n\n13:00-13:45 Keynote 2<\/strong>: Professor P\u00e4ivi H\u00e4kkinen From Foundations to Futures: Redefining Computer-Supported Collaborative Learning in the Age of AI<\/em><\/p>\n\n\n\n13:45-13:55 BREAK<\/p>\n\n\n\n13:55-14:50 Parallel sessions<\/strong>: Abstract Session 2 (Orange Hall) & Abstract Session 3 (Room TB248)<\/p>\n\n\n\n14:50-15:00 Break<\/p>\n\n\n\n15:00-15:55 Parallel sessions<\/strong>: Abstract Session 4 (Orange Hall) & Abstract Session 5 (Room TB248)<\/p>\n\n\n\n15:55-16:30 Coffee<\/p>\n\n\n\n16:30-18:00 Paper Session 6<\/strong> (TB248)<\/p>\n\n\n\n19:00-21:00 Dinner (Orange Hall)<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nFriday 30th<\/sup><\/h2>\n\n\n\n8:30-9:00 Morning coffee<\/p>\n\n\n\n9:00-9:45 Keynote 3<\/strong>: Senior Lecturer Eduardo Oliveira Scaffolding Responsible Human\u2013AI Collaboration in Higher Education: Assuring Learning through Agency, Evidence, and Trust<\/em><\/p>\n\n\n\n 9:45-9:55 BREAK<\/p>\n\n\n\n9:55-11:55 Paper Sessions 7a & 7b<\/strong> (Orange Hall)<\/p>\n\n\n\n11:55-12:55 Lunch & coffee<\/p>\n\n\n\n12:55-13:40 Keynote 4<\/strong>: Professor Teemu Roos AI in Education: Ruptures and Frontiers<\/em><\/p>\n\n\n\n13:40-13:50 BREAK<\/p>\n\n\n\n13:50-15:10 Parallel Sessions:<\/strong> Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)<\/p>\n\n\n\n15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nPaper and Abstract Sessions<\/h1>\n\n\n\n<\/p>\n\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 1 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tP<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. 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10:30-10:40 BREAK<\/p>\n\n\n\n
10:40-12:00 Paper Session 1<\/strong><\/p>\n\n\n\n12:00-13:00 Lunch & coffee<\/p>\n\n\n\n13:00-13:45 Keynote 2<\/strong>: Professor P\u00e4ivi H\u00e4kkinen From Foundations to Futures: Redefining Computer-Supported Collaborative Learning in the Age of AI<\/em><\/p>\n\n\n\n13:45-13:55 BREAK<\/p>\n\n\n\n13:55-14:50 Parallel sessions<\/strong>: Abstract Session 2 (Orange Hall) & Abstract Session 3 (Room TB248)<\/p>\n\n\n\n14:50-15:00 Break<\/p>\n\n\n\n15:00-15:55 Parallel sessions<\/strong>: Abstract Session 4 (Orange Hall) & Abstract Session 5 (Room TB248)<\/p>\n\n\n\n15:55-16:30 Coffee<\/p>\n\n\n\n16:30-18:00 Paper Session 6<\/strong> (TB248)<\/p>\n\n\n\n19:00-21:00 Dinner (Orange Hall)<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nFriday 30th<\/sup><\/h2>\n\n\n\n8:30-9:00 Morning coffee<\/p>\n\n\n\n9:00-9:45 Keynote 3<\/strong>: Senior Lecturer Eduardo Oliveira Scaffolding Responsible Human\u2013AI Collaboration in Higher Education: Assuring Learning through Agency, Evidence, and Trust<\/em><\/p>\n\n\n\n 9:45-9:55 BREAK<\/p>\n\n\n\n9:55-11:55 Paper Sessions 7a & 7b<\/strong> (Orange Hall)<\/p>\n\n\n\n11:55-12:55 Lunch & coffee<\/p>\n\n\n\n12:55-13:40 Keynote 4<\/strong>: Professor Teemu Roos AI in Education: Ruptures and Frontiers<\/em><\/p>\n\n\n\n13:40-13:50 BREAK<\/p>\n\n\n\n13:50-15:10 Parallel Sessions:<\/strong> Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)<\/p>\n\n\n\n15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nPaper and Abstract Sessions<\/h1>\n\n\n\n<\/p>\n\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 1 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tP<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:site_name\" content=\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-15T17:08:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"name\":\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\"},\"datePublished\":\"2022-01-19T12:57:02+00:00\",\"dateModified\":\"2026-10-15T17:08:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Programme\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"contentUrl\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"width\":250,\"height\":250,\"caption\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\"},\"image\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sites.uef.fi\/flaiec\/programme\/","og_locale":"en_US","og_type":"article","og_title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","og_description":"The conference programme consists of keynote speeches and paper sessions. 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12:00-13:00 Lunch & coffee<\/p>\n\n\n\n
13:00-13:45 Keynote 2<\/strong>: Professor P\u00e4ivi H\u00e4kkinen From Foundations to Futures: Redefining Computer-Supported Collaborative Learning in the Age of AI<\/em><\/p>\n\n\n\n13:45-13:55 BREAK<\/p>\n\n\n\n13:55-14:50 Parallel sessions<\/strong>: Abstract Session 2 (Orange Hall) & Abstract Session 3 (Room TB248)<\/p>\n\n\n\n14:50-15:00 Break<\/p>\n\n\n\n15:00-15:55 Parallel sessions<\/strong>: Abstract Session 4 (Orange Hall) & Abstract Session 5 (Room TB248)<\/p>\n\n\n\n15:55-16:30 Coffee<\/p>\n\n\n\n16:30-18:00 Paper Session 6<\/strong> (TB248)<\/p>\n\n\n\n19:00-21:00 Dinner (Orange Hall)<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nFriday 30th<\/sup><\/h2>\n\n\n\n8:30-9:00 Morning coffee<\/p>\n\n\n\n9:00-9:45 Keynote 3<\/strong>: Senior Lecturer Eduardo Oliveira Scaffolding Responsible Human\u2013AI Collaboration in Higher Education: Assuring Learning through Agency, Evidence, and Trust<\/em><\/p>\n\n\n\n 9:45-9:55 BREAK<\/p>\n\n\n\n9:55-11:55 Paper Sessions 7a & 7b<\/strong> (Orange Hall)<\/p>\n\n\n\n11:55-12:55 Lunch & coffee<\/p>\n\n\n\n12:55-13:40 Keynote 4<\/strong>: Professor Teemu Roos AI in Education: Ruptures and Frontiers<\/em><\/p>\n\n\n\n13:40-13:50 BREAK<\/p>\n\n\n\n13:50-15:10 Parallel Sessions:<\/strong> Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)<\/p>\n\n\n\n15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nPaper and Abstract Sessions<\/h1>\n\n\n\n<\/p>\n\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 1 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tP<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:site_name\" content=\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-15T17:08:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"name\":\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\"},\"datePublished\":\"2022-01-19T12:57:02+00:00\",\"dateModified\":\"2026-10-15T17:08:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Programme\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"contentUrl\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"width\":250,\"height\":250,\"caption\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\"},\"image\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sites.uef.fi\/flaiec\/programme\/","og_locale":"en_US","og_type":"article","og_title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","og_description":"The conference programme consists of keynote speeches and paper sessions. 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13:45-13:55 BREAK<\/p>\n\n\n\n
13:55-14:50 Parallel sessions<\/strong>: Abstract Session 2 (Orange Hall) & Abstract Session 3 (Room TB248)<\/p>\n\n\n\n14:50-15:00 Break<\/p>\n\n\n\n15:00-15:55 Parallel sessions<\/strong>: Abstract Session 4 (Orange Hall) & Abstract Session 5 (Room TB248)<\/p>\n\n\n\n15:55-16:30 Coffee<\/p>\n\n\n\n16:30-18:00 Paper Session 6<\/strong> (TB248)<\/p>\n\n\n\n19:00-21:00 Dinner (Orange Hall)<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nFriday 30th<\/sup><\/h2>\n\n\n\n8:30-9:00 Morning coffee<\/p>\n\n\n\n9:00-9:45 Keynote 3<\/strong>: Senior Lecturer Eduardo Oliveira Scaffolding Responsible Human\u2013AI Collaboration in Higher Education: Assuring Learning through Agency, Evidence, and Trust<\/em><\/p>\n\n\n\n 9:45-9:55 BREAK<\/p>\n\n\n\n9:55-11:55 Paper Sessions 7a & 7b<\/strong> (Orange Hall)<\/p>\n\n\n\n11:55-12:55 Lunch & coffee<\/p>\n\n\n\n12:55-13:40 Keynote 4<\/strong>: Professor Teemu Roos AI in Education: Ruptures and Frontiers<\/em><\/p>\n\n\n\n13:40-13:50 BREAK<\/p>\n\n\n\n13:50-15:10 Parallel Sessions:<\/strong> Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)<\/p>\n\n\n\n15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nPaper and Abstract Sessions<\/h1>\n\n\n\n<\/p>\n\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 1 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tP<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:site_name\" content=\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-15T17:08:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"name\":\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\"},\"datePublished\":\"2022-01-19T12:57:02+00:00\",\"dateModified\":\"2026-10-15T17:08:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Programme\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"contentUrl\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"width\":250,\"height\":250,\"caption\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\"},\"image\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sites.uef.fi\/flaiec\/programme\/","og_locale":"en_US","og_type":"article","og_title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","og_description":"The conference programme consists of keynote speeches and paper sessions. 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14:50-15:00 Break<\/p>\n\n\n\n
15:00-15:55 Parallel sessions<\/strong>: Abstract Session 4 (Orange Hall) & Abstract Session 5 (Room TB248)<\/p>\n\n\n\n15:55-16:30 Coffee<\/p>\n\n\n\n16:30-18:00 Paper Session 6<\/strong> (TB248)<\/p>\n\n\n\n19:00-21:00 Dinner (Orange Hall)<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nFriday 30th<\/sup><\/h2>\n\n\n\n8:30-9:00 Morning coffee<\/p>\n\n\n\n9:00-9:45 Keynote 3<\/strong>: Senior Lecturer Eduardo Oliveira Scaffolding Responsible Human\u2013AI Collaboration in Higher Education: Assuring Learning through Agency, Evidence, and Trust<\/em><\/p>\n\n\n\n 9:45-9:55 BREAK<\/p>\n\n\n\n9:55-11:55 Paper Sessions 7a & 7b<\/strong> (Orange Hall)<\/p>\n\n\n\n11:55-12:55 Lunch & coffee<\/p>\n\n\n\n12:55-13:40 Keynote 4<\/strong>: Professor Teemu Roos AI in Education: Ruptures and Frontiers<\/em><\/p>\n\n\n\n13:40-13:50 BREAK<\/p>\n\n\n\n13:50-15:10 Parallel Sessions:<\/strong> Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)<\/p>\n\n\n\n15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nPaper and Abstract Sessions<\/h1>\n\n\n\n<\/p>\n\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 1 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tP<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:site_name\" content=\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-15T17:08:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"name\":\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\"},\"datePublished\":\"2022-01-19T12:57:02+00:00\",\"dateModified\":\"2026-10-15T17:08:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Programme\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"contentUrl\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"width\":250,\"height\":250,\"caption\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\"},\"image\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sites.uef.fi\/flaiec\/programme\/","og_locale":"en_US","og_type":"article","og_title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","og_description":"The conference programme consists of keynote speeches and paper sessions. 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15:55-16:30 Coffee<\/p>\n\n\n\n
16:30-18:00 Paper Session 6<\/strong> (TB248)<\/p>\n\n\n\n19:00-21:00 Dinner (Orange Hall)<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nFriday 30th<\/sup><\/h2>\n\n\n\n8:30-9:00 Morning coffee<\/p>\n\n\n\n9:00-9:45 Keynote 3<\/strong>: Senior Lecturer Eduardo Oliveira Scaffolding Responsible Human\u2013AI Collaboration in Higher Education: Assuring Learning through Agency, Evidence, and Trust<\/em><\/p>\n\n\n\n 9:45-9:55 BREAK<\/p>\n\n\n\n9:55-11:55 Paper Sessions 7a & 7b<\/strong> (Orange Hall)<\/p>\n\n\n\n11:55-12:55 Lunch & coffee<\/p>\n\n\n\n12:55-13:40 Keynote 4<\/strong>: Professor Teemu Roos AI in Education: Ruptures and Frontiers<\/em><\/p>\n\n\n\n13:40-13:50 BREAK<\/p>\n\n\n\n13:50-15:10 Parallel Sessions:<\/strong> Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)<\/p>\n\n\n\n15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nPaper and Abstract Sessions<\/h1>\n\n\n\n<\/p>\n\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 1 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tP<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:site_name\" content=\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-15T17:08:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"name\":\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\"},\"datePublished\":\"2022-01-19T12:57:02+00:00\",\"dateModified\":\"2026-10-15T17:08:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Programme\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"contentUrl\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"width\":250,\"height\":250,\"caption\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\"},\"image\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sites.uef.fi\/flaiec\/programme\/","og_locale":"en_US","og_type":"article","og_title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","og_description":"The conference programme consists of keynote speeches and paper sessions. 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19:00-21:00 Dinner (Orange Hall)<\/p>\n\n\n\n
<\/p>\n\n\n\n
8:30-9:00 Morning coffee<\/p>\n\n\n\n
9:00-9:45 Keynote 3<\/strong>: Senior Lecturer Eduardo Oliveira Scaffolding Responsible Human\u2013AI Collaboration in Higher Education: Assuring Learning through Agency, Evidence, and Trust<\/em><\/p>\n\n\n\n 9:45-9:55 BREAK<\/p>\n\n\n\n9:55-11:55 Paper Sessions 7a & 7b<\/strong> (Orange Hall)<\/p>\n\n\n\n11:55-12:55 Lunch & coffee<\/p>\n\n\n\n12:55-13:40 Keynote 4<\/strong>: Professor Teemu Roos AI in Education: Ruptures and Frontiers<\/em><\/p>\n\n\n\n13:40-13:50 BREAK<\/p>\n\n\n\n13:50-15:10 Parallel Sessions:<\/strong> Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)<\/p>\n\n\n\n15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nPaper and Abstract Sessions<\/h1>\n\n\n\n<\/p>\n\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 1 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tP<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:site_name\" content=\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-15T17:08:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"name\":\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\"},\"datePublished\":\"2022-01-19T12:57:02+00:00\",\"dateModified\":\"2026-10-15T17:08:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Programme\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"contentUrl\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"width\":250,\"height\":250,\"caption\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\"},\"image\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sites.uef.fi\/flaiec\/programme\/","og_locale":"en_US","og_type":"article","og_title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","og_description":"The conference programme consists of keynote speeches and paper sessions. 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9:45-9:55 BREAK<\/p>\n\n\n\n
9:55-11:55 Paper Sessions 7a & 7b<\/strong> (Orange Hall)<\/p>\n\n\n\n11:55-12:55 Lunch & coffee<\/p>\n\n\n\n12:55-13:40 Keynote 4<\/strong>: Professor Teemu Roos AI in Education: Ruptures and Frontiers<\/em><\/p>\n\n\n\n13:40-13:50 BREAK<\/p>\n\n\n\n13:50-15:10 Parallel Sessions:<\/strong> Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)<\/p>\n\n\n\n15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nPaper and Abstract Sessions<\/h1>\n\n\n\n<\/p>\n\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 1 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tP<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:site_name\" content=\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-15T17:08:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"name\":\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\"},\"datePublished\":\"2022-01-19T12:57:02+00:00\",\"dateModified\":\"2026-10-15T17:08:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Programme\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"contentUrl\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"width\":250,\"height\":250,\"caption\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\"},\"image\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sites.uef.fi\/flaiec\/programme\/","og_locale":"en_US","og_type":"article","og_title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","og_description":"The conference programme consists of keynote speeches and paper sessions. 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11:55-12:55 Lunch & coffee<\/p>\n\n\n\n
12:55-13:40 Keynote 4<\/strong>: Professor Teemu Roos AI in Education: Ruptures and Frontiers<\/em><\/p>\n\n\n\n13:40-13:50 BREAK<\/p>\n\n\n\n13:50-15:10 Parallel Sessions:<\/strong> Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)<\/p>\n\n\n\n15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nPaper and Abstract Sessions<\/h1>\n\n\n\n<\/p>\n\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 1 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tP<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:site_name\" content=\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-15T17:08:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"name\":\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\"},\"datePublished\":\"2022-01-19T12:57:02+00:00\",\"dateModified\":\"2026-10-15T17:08:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Programme\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"contentUrl\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"width\":250,\"height\":250,\"caption\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\"},\"image\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sites.uef.fi\/flaiec\/programme\/","og_locale":"en_US","og_type":"article","og_title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","og_description":"The conference programme consists of keynote speeches and paper sessions. 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13:40-13:50 BREAK<\/p>\n\n\n\n
13:50-15:10 Parallel Sessions:<\/strong> Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)<\/p>\n\n\n\n15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\n<\/p>\n\n\n\nPaper and Abstract Sessions<\/h1>\n\n\n\n<\/p>\n\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 1 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tP<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:site_name\" content=\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-15T17:08:59+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\",\"name\":\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\"},\"datePublished\":\"2022-01-19T12:57:02+00:00\",\"dateModified\":\"2026-10-15T17:08:59+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/programme\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Programme\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#website\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#organization\",\"name\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"contentUrl\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/wp-content\\\/uploads\\\/sites\\\/341\\\/2022\\\/01\\\/cropped-UEF_FLAIEC_Logo_Ilman_Tekstia.png\",\"width\":250,\"height\":250,\"caption\":\"Finnish Learning Analytics and Artificial Intelligence in Education Conference\"},\"image\":{\"@id\":\"https:\\\/\\\/sites.uef.fi\\\/flaiec\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sites.uef.fi\/flaiec\/programme\/","og_locale":"en_US","og_type":"article","og_title":"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference","og_description":"The conference programme consists of keynote speeches and paper sessions. 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15:15-15:30 Closing of the conference & Coffee to go \ud83d\ude42<\/p>\n\n\n\n
<\/p>\n\n\n\t
P<\/a><\/a>APER SESSION 1\nThursday 29th <\/sup>| 10:40-12:00<\/p>\n\nMaking competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engestr\u00f6m Hull)<\/li>\nPractical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gr\u00f6hn)<\/li>\nStudents\u2019 and teachers\u2019 experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanp\u00e4\u00e4, Erkko Sointu, Teemu Valtonen & Laura Hirsto)<\/li>\nProcrastination in the start of academic studies and dropout from the degree program \u2013 early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)<\/li>\nThe Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Per\u00e4m\u00e4ki & Eemil Laine)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 2 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. 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ABSTRACT SESSION 2 (in parallel with Session 3)\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nAccelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)<\/li>\nFrom Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)<\/li>\nFrom Monitoring to Mentoring: An Evidence-Informed AI Companion for Student Progression and Transferable Competency Development in Higher Education (Keith Maycock, Aidan Mooney, Majella Dempsey, Yinglian Deng, Shudong Wang & Xuezhu Chen)<\/li>\nApproaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa K\u00e4rkk\u00e4inen, Miikka Eriksson & Laura Hirsto)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 3 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. 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<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t
ABSTRACT SESSION 3 (in parallel with Session 2)<\/span><\/span><\/p>\nLocation: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. 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Location: ROOM TB248 (Building <\/span>1<\/span>, 2<\/span><\/span>nd<\/span><\/span> floor<\/span>)<\/span><\/span>\u00a0<\/span><\/p>\nThursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. 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Thursday 29th<\/sup> | 13:55-14:50<\/p>\n\nA Hybrid Model for High-Quality Teaching and Learning in Rural High Schools: Enhancing Learning Analytics for Digital Competence Through Educational Design Research (Sirkku Kinnunen & Heli Ruokamo)<\/li>\nWhen AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students\u2019 Self-Regulated Learning (Ke Zhang & Ziyi Zhou)<\/li>\nTracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)<\/li>\nLearner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles L\u00f3pez-Pernas)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 4 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. 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ABSTRACT SESSION 4 (in parallel with Session 5)<\/span><\/span>\nThursday 29th | 15:00-15:55<\/p>\n\nWho decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)<\/li>\nWhere Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (P\u00e4ivikki Liukkonen)<\/li>\nEntangling Control and Care: Rethinking Teacher\u2013Student Relationships in Learning Analytics\u2013Mediated Higher Education (Satu Piispa-Hakala, Jenni B\u00e4ckman, Teemu Valtonen & Laura Hirsto)<\/li>\nFinnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\n\n\t\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 5 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n\nExploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)<\/li>\nFrom AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati M\u00e4kitalo)<\/li>\nStudent Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 6 | ROOM TB248\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n\nBeyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles L\u00f3pez-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)<\/li>\nEvaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles L\u00f3pez-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)<\/li>\nKnowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)<\/li>\nMapping Educators\u2019 Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)<\/li>\nPAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)<\/li>\nHuman\u2013AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tSESSION 7 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\t <\/p>\nPAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n\nExploring Pre-service Teachers\u2019 Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)<\/li>\nPhase-Specific Time on Task and Synthesis Performance in Children\u2019s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)<\/li>\nInternational perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino \u00c4ik\u00e4s, Hanna Vuoj\u00e4rvi, Martin Cooper, Linda Daniela & Muhittin Sahin)<\/li>\nEvaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles L\u00f3pez-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)<\/li>\nPedagogical Prompting Meets Practice: A Case Study of a Teacher-Designed Pedagogical Chatbot (Teemu Valtonen, Jasmiina Leskinen, Sini Kontkanen, Asko-Ilari Rautiainen, Thomas Viik & Justus Kinnunen)<\/li>\nWhen the Text Survives but the Thinking Doesn\u2019t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students\u2019 Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)<\/li>\nModeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)<\/li>\n<\/ul>\n <\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tPARALLEL SESSION 8 | Orange Hall\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n\nGameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles L\u00f3pez-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)<\/li>\nGenerative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkil\u00e4-Erdmann & Norbert Erdmann)<\/li>\nInstitutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)<\/li>\nEvaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)<\/li>\nAccessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\t PARALLEL SESSION 9 | ROOM TB180\t\t\t\t\t<\/h3>\n\t\t\t\t<\/button>\n\t\t\t\t\n\t\t\t\t\tPAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n\nAI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles L\u00f3pez-Pernas, Friday Joseph Agbo & Matti Tedre)<\/li>\nPredicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas M\u00e4kil\u00e4 & Mirjamaija Mikkil\u00e4-Erdmann)<\/li>\nFrom Predictive Intelligence to OR-EDU Decision Support: A PRISMA-Guided Review of Predictive Learning Analytics for Past, Present, and Future (Aneng He, Lai Soon Lee & Yongen Xian)<\/li>\nLogic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K\u201312 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)<\/li>\nThe Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners\u2019 Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)<\/li>\n<\/ul>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t","protected":false},"excerpt":{"rendered":"The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nProgramme - Finnish Learning Analytics and Artificial Intelligence in Education Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/flaiec\/programme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Programme - Finnish Learning Analytics and Artificial Intelligence in Education Conference\" \/>\n<meta property=\"og:description\" content=\"The conference programme consists of keynote speeches and paper sessions. 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ABSTRACT SESSION 5 (in parallel with session 4)\nThursday 29th | 15:00-15:55<\/p>\n
<\/p>\n
PAPER SESSION 6\nThursday 29th | 16:30-18:00<\/p>\n
PAPER SESSION 7a & 7b\nFriday 30th | 9:55-11:55<\/p>\n
<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t
PAPER SESSION 8 (in parallel with session 9)\nFriday 30th | 13:50-15:10<\/p>\n
PAPER SESSION 9 (in parallel with session 8)\nFriday 30th | 13:50-15:10<\/p>\n
The conference programme consists of keynote speeches and paper sessions. The final programme is presented below. The conference takes place at Tiedepuisto, Joensuu (adress L\u00e4nsikatu 15). Presentations will take place in Orange Hall and two other locations in the same building, and they will be streamed for online participants. The links will be sent for […]<\/p>\n","protected":false},"author":176,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\n