See my Google Scholar Publications for the full list. These are my recent publications that give a good idea of my research.
Recent Publications
Viberg, O., Cukurova, M., Feldman-Maggor, Y., Alexandron, G., Shirai, S., Kanemune, S., . . . Milrad, M. (2024). What Explains Teachers’ Trust in AI in Education Across Six Countries? International Journal of Artificial Intelligence in Education, 1-29 %@ 1560-4306.
Viberg, O., Baars, M., Mello, R. F., Weerheim, N., Spikol, D., Bogdan, C., . . . Paas, F. (2024). Exploring the nature of peer feedback: An epistemic network analysis approach. Journal of Computer Assisted Learning %@ 0266-4909.
Ouhaichi, H., Spikol, D., Vogel, B., & Li, Z. (2024). Analytics in Glocal Classrooms: Integrating Multimodal Learning Analytics in a Smart Learning Environment.
Ouhaichi, H., Spikol, D., & Vogel, B. (2024). Learning Swedish with AI: Exploring Multimodal Learning Analytics in Spoken Language Acquisition.
Ouhaichi, H., Spikol, D., & Vogel, B. (2024). A systematic review of multimodal learning analytics design models and frameworks.
Ouhaichi, H., Spikol, D., & Vogel, B. (2024). Guiding the Integration of Multimodal Learning Analytics in the Glocal Classroom: A Case Study Applying MAMDA.
Ouhaichi, H., Spikol, D., Li, Z., & Vogel, B. (2024). Conceptual Design of Multimodal Learning Analytics for Spoken Language Acquisition.
Ouhaichi, H., Bahtijar, V., & Spikol, D. (2024). Exploring design considerations for multimodal learning analytics systems: an interview study.
Li, Z., Jensen, M. T., Nolte, A., & Spikol, D. (2024). Field report for Platform mBox: Designing an Open MMLA Platform.
Holm-Janas, V., Caro Miya Marshall, O., Li, Z., Bruun, J., & Spikol, D. (2024). Design Framework for Multimodal Learning Analytics Leveraging Human Observations.
Falk, J., Nolte, A., Huppenkothen, D., Weinzierl, M., Gama, K., Spikol, D., . . . Hayden, L. B. (2024). The future of hackathon research and practice. IEEE Access %@ 2169-3536.
Dimitriadis, Y., Cerezo, R., Balderas, A., Martínez-Monés, A., & Spikol, D. (2024). Preface of the Doctoral Consortium of the Learning Analytics Summer Institute Europe 2024 (LASI Europe 2024 DC).
Zabolotna, K., Spikol, D., & Malmberg, J. (2023). What Can Automated Speech Recognition Add to Qualitative Video Observations of Small Groups’ Collaborative Interactions?
Viberg, O., Cukurova, M., Feldman-Maggor, Y., Alexandron, G., Shirai, S., Kanemune, S., . . . Milrad, M. (2023). Teachers’ trust and perceptions of AI in education: The role of culture and AI self-efficacy in six countries. CoRR.
Ouhaichi, H., Spikol, D., & Vogel, B. (2023). Rethinking MMLA: Design Considerations for Multimodal Learning Analytics Systems.
Ouhaichi, H., Spikol, D., & Vogel, B. (2023). Research trends in multimodal learning analytics: A systematic mapping study. Computers and Education: Artificial Intelligence, 4, 100136 %@ 102666-100920X.
Misfeldt, M., Spikol, D., & Nøhr, L. (2023). Motivation, Persistence, and Resilience in Small Group Science Activities.
Chounta, I.-A., Hoppe, H. U., Nolte, A., & Spikol, D. (2023). Re-inventing project-based learning: Hackathons, datathons, devcamps as learning expeditions.
Castro, M. S. d. O., Mello, R. F., Fiorentino, G., Viberg, O., Spikol, D., Baars, M., & Gašević, D. (2023). Understanding peer feedback contributions using natural language processing.