Conduct independent research using the available materials (guidelines and examples) on learning analytics, focusing on the interpretation of learning design quality evaluation.
The instructor encourages participants to check the indicators provided for their course design in the BDP tool (learning-design.eu) and to discuss possible interpretations within their team.
Learning design analytics can also be created independently using spreadsheets if you are using tools that do not include built-in analytics.
Select two titles from the articles and book chapters provided for independent study.
Albuquerque, J.; Rienties, B.; Divjak, B. Decoding Learning Design Decisions: A Cluster Analysis of 12,749 Teaching and Learning Activities // LAK ’25: Proceedings of the 15th International Learning Analytics and Knowledge Conference. New York (NY): Association for Computing Machinery, 2025, pp. 407–417.
Claassen, A., Mirriahi, N., Kovanović, V., & Dawson, S. (2025). From Data to Design: Integrating Learning Analytics into Educational Design for Effective Decision-Making. Proceedings of the 15th International Conference on Learning Analytics & Knowledge (LAK ’25), 558–567.
Divjak, B., Svetec, B., & Horvat, D. (2024). How Can Valid and Reliable Automatic Formative Assessment Predict the Acquisition of Learning Outcomes? Journal of Computer Assisted Learning, 1–17.
Divjak, B., Barthakur, A., Kovanović, V., Svetec, B. (2025). The Impact of Learning Design on the Mastery of Learning Outcomes in Higher Education // LAK ’25: Proceedings of the 15th International Learning Analytics and Knowledge Conference. New York (NY): Association for Computing Machinery, 2025, pp. 726–737.
Rienties, B., Balaban, I., Divjak, B., Grabar, D., Svetec, B., Vondra, P. (2023). Applying and Translating Learning Design and Analytics Approaches Across Borders. In: Viberg, O., Grönlund, Å. (eds), Practicable Learning Analytics. Advances in Analytics for Learning and Teaching. Springer, Cham.
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