The conference programme consists of keynote speeches and paper sessions. The final programme is presented below.
The conference takes place at Tiedepuisto, Joensuu (adress Länsikatu 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 registered participants.
The conference booklet has been sent to the registered participants.
The programme outline is provided below, followed by details of the paper and abstract sessions.
Thursday 29th
8:30-9:30 Registration desk opens and Morning coffee is served
9:30-9:45 Opening of the Conference – Welcome to FLAIEC 2026: Vice rector, Professor Laura Hirsto
9:45-10:30 Keynote 1: Professor Bart Rienties Is there still a need for learning analytics in the age of AI: lessons learned from the Open University UK
10:30-10:40 BREAK
10:40-12:00 Paper Session 1
12:00-13:00 Lunch & coffee
13:00-13:45 Keynote 2: Professor Päivi Häkkinen From Foundations to Futures: Redefining Computer-Supported Collaborative Learning in the Age of AI
9:00-9:45 Keynote 3: Senior Lecturer Eduardo Oliveira Scaffolding Responsible Human–AI Collaboration in Higher Education: Assuring Learning through Agency, Evidence, and Trust
9:45-9:55 BREAK
9:55-11:55 Paper Sessions 7a & 7b (Orange Hall)
11:55-12:55 Lunch & coffee
12:55-13:40 Keynote 4: Professor Teemu Roos AI in Education: Ruptures and Frontiers
13:40-13:50 BREAK
13:50-15:10 Parallel Sessions: Paper Session 8 (Orange Hall) & Paper Session 9 (ROOM TB180)
15:15-15:30 Closing of the conference & Coffee to go 🙂
Paper and Abstract Sessions
PAPER SESSION 1
Thursday 29th | 10:40-12:00
Making competence visible: an ECD-based model for immersive learning design and assessment (Ulla-Maaria Engeström Hull)
Practical Development and Use of Learning Analytics at Karelia University of Applied Sciences Since 2018 (Tiina Soininen & Anssi Gröhn)
Students’ and teachers’ experiences of the design of flipped higher education courses: A reality check (Jenni Kankaanpää, Erkko Sointu, Teemu Valtonen & Laura Hirsto)
Procrastination in the start of academic studies and dropout from the degree program – early signals in LMS activity predicting success in the course and degree level (Vesa Paajanen)
The Steering Layer, Not the Model: A Practitioner Case of Building Pedagogical Control into Generative AI Coaching (Markku Pelkonen, Mira Perämäki & Eemil Laine)
ABSTRACT SESSION 2 (in parallel with Session 3)
Thursday 29th | 13:55-14:50
Accelerating education? Scrutinising the temporality of learning analytics (Janne Fagerlund)
From Epistemological Beliefs to AI Adoption: Disentangling the Roles of Experience, AI Literacy, and Perceived Usefulness Among Teachers (Dirk Ifenthaler, Yvonne Fromm & Joana Heil)
From 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)
Approaches to Learning and the Technology Acceptance of a GenAI Chatbot in Teacher Education (Thomas Viik, Teemu Valtonen, Sirpa Kärkkäinen, Miikka Eriksson & Laura Hirsto)
ABSTRACT SESSION 3 (in parallel with Session 2)
Location: ROOM TB248 (Building 1, 2nd floor)
Thursday 29th | 13:55-14:50
A 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)
When AI Agrees Too Much: Exploring the Influence of Generative AI Sycophancy on Students’ Self-Regulated Learning (Ke Zhang & Ziyi Zhou)
Tracing Clinical Reasoning Process through LLM-based Virtual Patient Interactions (Chengxin Zhang)
Learner-Facing Analytics for AI Literacy Using Evidence Lenses to Audit Nano Language Model Outputs (Robel Gebrewold, Nicolas Pope, Matti Tedre, Mohamed Abdelgalil & Sonsoles López-Pernas)
ABSTRACT SESSION 4 (in parallel with Session 5)
Thursday 29th | 15:00-15:55
Who decides? A scoping review of educator agency and pedagogical decision-making in AI-driven learning analytics in higher education (Imran Khan)
Where Are Embodiment and Materiality in the Scholarship on AI and Education? A Craft Education Lens (Päivikki Liukkonen)
Entangling Control and Care: Rethinking Teacher–Student Relationships in Learning Analytics–Mediated Higher Education (Satu Piispa-Hakala, Jenni Bäckman, Teemu Valtonen & Laura Hirsto)
Finnish K-12 teachers’ critical views and conceptions of Generative AI and Learning Analytics in classroom routines (Tero Lakkonen)
ABSTRACT SESSION 5 (in parallel with session 4)
Thursday 29th | 15:00-15:55
Exploring the Impact of Learning Analytics on Students’ Engagement and Learning Enhancements in Higher Education (Zunaira Riaz & Farhat Munir)
From AI Professional Knowledge to Teacher Agency: An Empirical Study Based on Intelligent-TPACK (Ismail Celik, Teemu Valtonen, Sini Kontkanen, Jari Laru, Jukka Lehtoranta & Kati Mäkitalo)
Student Agency in AI-Supported Heritage Language Learning: Reflections from a Multilingual High School Classroom (Lia Vanina Decker)
PAPER SESSION 6
Thursday 29th | 16:30-18:00
Beyond Outcomes: Temporal Analysis of Clinical Reasoning with a Social-Robot Patient (Islam Metwally, Sonsoles López-Pernas, Suzan Salem, Ioannis Parodis & Mohammed Saqr)
Evaluating Direct Answer Leakage in Socratic Tutors: A Multi-Agent Approach to Prompt Injection Defense (Hanie Asemi, Hesham Ahmed, Sonsoles López-Pernas, Matti Tedre, Nicolas Pope & Mohammed Saqr)
Knowing When to Intervene: A Behavior-Aware Framework for Agency-Preserving AI Learning Systems (Sayantan Ghosh & Puja Roy)
Mapping Educators’ Practices and Challenges in K-12 Artificial Intelligence Education: An Epistemic Network Analysis (Fitsum Gizachew Deriba, Amos Oyelere Sunday & Ismail Sanusi)
PAUSE AI Tutor: Investigating Metacognitive Regulation and Temporal Patterns of GenAI Use in Programming Education (Nabeela Kausar, Friday Joseph Agbo & Mohammed Saqr)
Human–AI Agency in Education: A Rapid Integrative Review of Delegation, Authority and Human Participation (Mashite Tshidi)
PAPER SESSION 7a & 7b
Friday 30th | 9:55-11:55
Exploring Pre-service Teachers’ Acceptance of Generative AI: Attitudes, Intentions, and Acceptance Profiles (Sini Kontkanen, Jari Kukkonen, Henri Heiskanen, Lasse Eronen & Teemu Valtonen)
Phase-Specific Time on Task and Synthesis Performance in Children’s Online Inquiry: Effects of a Full-Cycle Intervention (Norbert Erdmann & Kasperi Rautio)
International perspective of pedagogical support and learning analytics in higher education (Erkko Sointu, Dirk Ifenthaler, Aino Äikäs, Hanna Vuojärvi, Martin Cooper, Linda Daniela & Muhittin Sahin)
Evaluating AI-Generated Personalized Learner Support: An Exploratory LLM-as-a-Judge Study (Hesham Ahmed, Hanie Asemi, Sonsoles López-Pernas, Eduardo Oliveira, Kamila Misiejuk, Markku Tukiainen & Mohammed Saqr)
Pedagogical 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)
When the Text Survives but the Thinking Doesn’t: Towards a Conceptual Framework for Monitoring Cognitive Engagement in Students’ Written Work (Di Wu, Tracii Ryan, Gregor Kennedy & Eduardo Oliveira)
Modeling Temporal Dynamics in Interactive E-Books: Multi-Cluster Multi-Level Approach (Yaroslav Opanasenko & Margus Pedaste)
PAPER SESSION 8 (in parallel with session 9)
Friday 30th | 13:50-15:10
Gameplay Analytics in a Mobile Educational Escape Room for Learning Java Data Structures (Chidera Ugo, Sonsoles López-Pernas, Aldo Gordillo, Markku Tukiainen & Thaddeus Okonkwo)
Generative AI in Inquiry-Based Learning: A Scoping Review (Chi Shing Lau, Mirjamaija Mikkilä-Erdmann & Norbert Erdmann)
Institutional AI guidance in a dual higher education system: a census of all 35 Finnish institutions with a European benchmark (Ayesha Zafar & Erkki Kaila)
Evaluating Automated Grading and Feedback Using Large Language Models in an Introductory Programming Course (Vijay Prakash, Devanshu Saindane & Gurudeo Thakare)
Accessibility Through Self-Paced Online Courses: Are the Intended Outcomes Achieved? A Process-Mining Case Study (Sami Heikkinen)
PAPER SESSION 9 (in parallel with session 8)
Friday 30th | 13:50-15:10
AI-Curated Microlearning Videos for Medical Education: A Conceptual Framework Grounded in Cognitive Load Theory (Marc Denojean-Mairet, Sonsoles López-Pernas, Friday Joseph Agbo & Matti Tedre)
Predicting Multiple-Source Comprehension Outcomes from Inquiry Process Indicators Beyond Total Activity (Soumik Roy Bishal, Norbert Erdmann, Chi Shing Lau, Tuomas Mäkilä & Mirjamaija Mikkilä-Erdmann)
From 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)
Logic-Mined Ensemble Neural Networks with Potential Performance Diagnosis for Student Learning Potential Prediction in MET-Enhanced K–12 Mathematics Classrooms (Aneng He, Lai Soon Lee, Wenwen Yuan, Yongen Xian & Chuei Yee Chen)
The Role of Gen AI-Powered Digital Avatars as Pedagogical Agents in Enhancing Learners’ Perceptions of Learning and Learning Outcomes: A Perspective on the Interaction Between Presentation Attributes and Presentation Methods (Chunze Xu, Gengfeng Niu & Xiaojun Sun)