Publications 2019-2021

Books

Denning, Peter J; Tedre, Matti. Computational Thinking. The MIT Press. 2019.

Journal articles, book chapters, and conference papers

Vartiainen, Henriikka; Toivonen, Tapani; Jormanainen, Ilkka; Kahila, Juho; Tedre, Matti; Valtonen, Teemu. Machine Learning for Middle Schoolers: Learning Through Data-Driven Design. International Journal of Child-Computer Interaction. Online first. 2021.

Saqr, Mohammed; Ng, Kwok; Oyelere, Solomon Sunday; Tedre, Matti. People, Ideas, Milestones: A Scientometric Study of Computational Thinking. ACM Transactions on Computing Education 21 3. 2021.

Wedberg, Martin; Viberg, Olga; Saqr, Mohammed. Facilitating Disciplinary-Specific Knowledge Sharing: A Usability Study of a Dementia Library. World Conference on Mobile and Contextual Learning. 2021.

Peeters, Ward; Saqr, Mohammed; Viberg, Olga. Applying Learning Analytics to Map Students’ Self-Regulated Learning Tactics in an Academic Writing Course. In Proceedings of the 28th International Conference on Computers in Education. 2020.

Saqr, Mohammed; Al-Mohaimeed, Abdulrahman; Rasheed, Zafar. Tear down the walls: Disseminating open access research for a global impact. International Journal of Health Sciences 14 5: 43-49. 2020

Saqr, Mohammed; Nouri, Jalal. High resolution temporal network analysis to understand and improve collaborative learning. LAK20 Conference Proceedings: Celebrating 10 years of LAK: Shaping the future of the field. 2020.

Saqr, Mohammed; Nouri, Jalal; Vartiainen, Henriikka; Malmberg, Jonna. What makes an online problem-based group successful? A learning analytics study using social network analysis. BMC Medical Education 20 1: 80. 2020

Saqr, Mohammed; Nouri, Jalal; Vartiainen, Henriikka; Tedre, Matti. Robustness and rich clubs in collaborative learning groups: a learning analytics study using network science. Scientific reports 10 1: 14445. 2020.

Saqr, Mohammed; Suero Montero, Calkin. Learning and Social Networks – Similarities, Differences and Impact. Proceedings: IEEE 20th International Conference on Advanced Learning Technologies ICALT 2020. 2020.

Saqr, Mohammed; Viberg, Olga. Using Diffusion Network Analytics to Examine and Support Knowledge Construction in CSCL Settings. Addressing Global Challenges and Quality Education. 2020.

Saqr, Mohammed; Viberg, Olga; Nouri, Jalal; Oyelere, Solomon. Multimodal Temporal Network Analysis to Improve Learner Support and Teaching. Proceedings of CrossMMLA in practice: Collecting, annotating and analyzing multimodal data across spaces co-located with 10th International Learning and Analytics Conference (LAK 2020). 2020.

Saqr, Mohammed; Viberg, Olga; Vartiainen, Henriikka. Capturing the participation and social dimensions of computer-supported collaborative learning through social network analysis: which method and measures matter? International journal of computer-supported collaborative learning 15: 227-248. 2020.

Schöbel, S; Janson, A; Jahn, K; Kordyaka, B; Turetken, O; Djafarova, N; Saqr, M; Wu, D; Söllner, M; Adam, M; Gad, PH; Wesseloh, H; Leimeister, JM. A Research Agenda for the Why, What, and How of Gamification Designs – Results on an ECIS 2019 Panel. Communications of the association for information systems 46: 706-721. 2020.

Conde, Miguel Ángel; Rodríguez-Sedano, Francisco; Fernández, Camino; Ramos, Maria-João; Alves, Jonny; Celis-Tena, Susana; Gonçalves, José; Lima, Jose; Reimann, Daniela; Jormanainen, Ilkka; García-Peñalvo, Francisco José. Adaption of RoboSTEAM Project to the Pandemic Situation. TEEM’20: Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality. 2020.

Jormanainen, Ilkka; Tukiainen, Markku. Attractive Educational Robotics Motivates Younger Students to Learn Programming and Computational Thinking. TEEM’20: Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality. 2020.

Apiola, Mikko; Sutinen, Erkki. Mindset and Study Performance: New Scales and Research Directions. Koli Calling ’20 Proceedings of the 20th Koli Calling International Conference on Computing Education Research. 2020.

Apiola, Mikko; Sutinen, Erkki. Design science research for learning software engineering and computational thinking: Four cases. Computer Applications in Engineering Education 29(1), 83-101. 2020.

Apiola, Mikko; Laakso, Mikko. The Role of Implicit Theories in Computer Science and Engineering Studies: First Findings and Review. IEEE 2019 Frontiers in Education Conference Proceedings. 2020.

Saqr, Mohammed; Wasson, Barbara. COVID-19: Lost opportunities and lessons for the future International Journal of Health Sciences 14 3: 4-6. 2020.

Kahila, Juho; Parkki, Tuomo; Gröhn, Anssi; Karvinen, Atte; Telimaa, Elmeri; Riikonen, Pekka; Tiitta, Riku; Haantio, Pasi; Keinänen, Anssi; Kerkkänen, Tero; Jormanainen, Ilkka; Penttinen, Silja; Tedre, Matti. Escape Room Game for CT Learning Activities in the Primary School. Koli Calling ’20: Proceedings of the 20th Koli Calling International Conference on Computing Education Research. 2020.

Tedre, M; Vartiainen, H; Kahila, J; Toivonen, T; Jormanainen, I; Valtonen, T. Machine Learning Introduces New Perspectives to Data Agency in K-12 Computing Education. 2020 IEEE Frontiers in Education Conference (FIE). 2020.

Toivonen, Tapani; Jormanainen, Ilkka; Kahila, Juho; Tedre, Matti; Valtonen, Teemu; Vartiainen, Henriikka. Co-Designing Machine Learning Apps in K-12 With Primary School Children. Proceedings: IEEE 20th International Conference on Advanced Learning Technologies ICALT 2020. 2020.

Vartiainen, Henriikka; Tedre, Matti; Kahila, Juho; Valtonen, Teemu. Tensions and trade-offs of participatory learning in the age of machine learning Educational media international 57 4: 285-298. 2020.

Vartiainen, Henriikka; Tedre, Matti; Valtonen, Teemu. Learning machine learning with very young children: Who is teaching whom? International journal of child-computer interaction 25: 100182. 2020.

Vartiainen, Henriikka; Toivonen, Tapani; Jormanainen, Ilkka; Kahila, Juho; Tedre, Matti; Valtonen, Teemu. Machine learning for middle-schoolers: Children as designers of machine-learning apps. 2020 IEEE Frontiers in Education Conference (FIE). 2020.

Vartiainen, Henriikka;Tedre, Matti; Salonen, Anssi; Valtonen, Teemu. Rematerialization of the virtual and its challenges for design and technology education Techne series 27 1: 52-69. 2020.

Kajasilta, Henri; Apiola, Mikko; Lokkila, Erno; Veerasamy, Ashok; Laakso, Mikko. Measuring Students’ Stress with Mood Sensors: First Findings. Lecture Notes In Computer Science (Advances in Web-Based Learning – ICWL 2019). 2019.

Apiola, Mikko; Laakso, Mikko. The Impact of Self-Theories to Academic Achievement and Soft Skills in Undergraduate CS Studies: First Findings. Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE). 2019.

Apiola, Mikko; Karunaratne, Thashmee; Kaila, Erkki; Laakso, Mikko. Experiences from Digital Learning Analytics in Finland and Sweden: A Collaborative Approach. 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics. 2019.

Apiola, Mikko; Lokkila, Erno; Laakso, Mikko. Digital Learning Approaches in an Intermediate-level Computer Science Course. The International Journal of Information and Learning Technology. 36(5). 2019.

Mariescu-Istodor, Radu; Jormanainen, Ilkka. Machine Learning for High School Students. Koli Calling ’19 Proceedings of the 19th Koli Calling International Conference on Computing Education Research. 2019.

Toivonen, Tapani; Jormanainen, Ilkka. Evolution of Decision Tree Classifiers in Open Ended Educational Data Mining. TEEM’19 Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality. 2019.

Toivonen, Tapani; Jormanainen, Ilkka; Tukiainen, Markku. Augmented Intelligence in Educational Data Mining Smart Learning Environments 6 10: 1-25. 2019.

Alsuhaibani, Marya; Alharbi, Amjad; Inam, SN Bazmi; Alamro, Ahmad; Saqr, Mohammed. Research education in an undergraduate curriculum: Students perspective. International Journal of Health Sciences 13 2: 30-34. 2019.

Nouri, Jalal; Ebner, Martin; Ifenthaler, Dirk; Saqr, Mohammed; Malmberg, Jonna; Khalil, Mohammad; Bruun, Jesper; Viberg, Olga; Conde González, Miguel Ángel; Papamitsiou, Zacharoula; Berthelsen, Ulf Dalvad. Efforts in Europe for Data-Driven Improvement of Education: A Review of Learning Analytics Research in Seven Countries. International Journal of Learning Analytics and Artificial Intelligence for Education 1 1: 8-27. 2019.

Nouri, Jalal; Larsson, Ken; Saqr, Mohammed. Identifying Factors for Master Thesis Completion and Non-completion Through Learning Analytics and Machine Learning. Transforming Learning with Meaningful Technologies: 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Delft, The Netherlands, September 16-19, 2019, Proceedings. 2019.

Nouri, Jalal; Larsson, Ken; Saqr, Mohammed. Bachelor thesis analytics: using machine learning to predict dropout and identify performance factors. International Journal of Learning Analytics and Artificial Intelligence for Education 1 1: 116-131. 2019.

Nouri, Jalal; Saqr, Mohammed; Fors, Uno. Predicting performance of students in a flipped classroom using machine learning: towards automated data-driven formative feedback. Journal of systemics, cybernetics and informatics 17 2: 17-21. 2019.

Saqr, Mohammed; Alamro, Ahmad. The role of social network analysis as a learning analytics tool in online problem based learning. BMC Medical Education 19 1: 160. 2019.

Saqr, Mohammed; Nouri, Jalal; Jormanainen, Ilkka. A Learning Analytics Study of the Effect of Group Size on Social Dynamics and Performance in Online Collaborative Learning. Transforming Learning with Meaningful Technologies: 14th European Conference on Technology Enhanced Learning, EC-TEL 2019, Delft, The Netherlands, September 16-19, 2019, Proceedings. 2019.

Saqr, Mohammed; Tedre, Matti. Should we teach computational thinking and big data principles to medical students? International Journal of Health Sciences 13 4: 1-2. 2019.

Mäkitalo, Kati H; Tedre, Matti; Laru, Jari; Valtonen, Teemu. Computational Thinking in Finnish Pre-Service Teacher Education. Proceedings of International Conference on Computational Thinking Education 2019: 13-15 June 2019: Hong Kong. 2019.

Valtonen, Teemu; Tedre, Matti; Mäkitalo, Kati; Vartiainen, Henriikka. Media Literacy Education in the Age of Machine Learning The journal of media literacy education 11 2: 20-36. 2019.

Yigzaw, Samuel T; Jormanainen, Ilkka; Tukiainen, Markku. Trends in the Role of ICT in Higher Education Knowledge Management Systems: A Systematic Literature Review. TEEM’19 Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality. 2019.

Conde, Miguel Á; Fernández, Camino; Alves, Jonny; Ramos, María-João; Celis-Tena, Susana; Gonçalves, José; Lima, José; Reimann, Daniela; Jormanainen, Ilkka; García Peñalvo, Francisco J. RoboSTEAM – A Challenge Based Learning Approach for integrating STEAM and develop Computational Thinking. TEEM’19 Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality. 2019.