Individual investigation: Examples of learning analytics

Below is a list with links to 10 recent scientific papers from the field of learning analytics, featuring different examples of learning analytics.

• Review the abstracts of the papers, using artificial intelligence tools such as Notebook LM.
• Based on this, select two papers and read them in full.
• Instead of the listed papers, you may also independently explore additional papers to read.
• You may also visit the blog, which publishes learning analytics research in a way that is accessible to a broader audience.
• The estimated time required for this activity is 4 hours.

1. Albuquerque, J.; Rienties, B.; Divjak, B. (2025). 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: Association for Computing Machinery; 407–417.
2. Divjak, B.; Svetec, B.; Horvat, D.; Kadoić, N. (2023). Assessment validity and learning analytics as prerequisites for ensuring student-centred learning design. British Journal of Educational Technology, 54(1), 313–334.
3. 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, 40(6), 2616–2632.
4. 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: Association for Computing Machinery; 726–737.
5. Gedrimiene, E., Celik, I., Mäkitalo, K., & Muukkonen, H. (2023). Transparency and Trustworthiness in User Intentions to Follow Career Recommendations from a Learning Analytics Tool. Journal of Learning Analytics, 10(1), 54–70.
6. Lim, L.; Bannert, M.; van der Graaf, J.; Fan, Y.; Rakovic, M.; Singh, S.; Molenaar, I.; Gašević, D. (2024). How do students learn with real-time personalized scaffolds?. British Journal of Educational Technology, 55, 1309–1327.
7. Ochoa, X.; Huang, X.; Shao, Y. (2025). Exploring the Potential of Generative AI to Support Non-experts in Learning Analytics Practice. Journal of Learning Analytics, 12(1), 65–90.
8. Rodrigues, L.; Xavier, C.; Costy, N.; Gašević, D.; Ferreira Mello, R. (2025). Is GPT-4 fair? An empirical analysis in automatic short answer grading. Computers and Education: Artificial Intelligence, 8, 100428.
9. Raković, M.; Li, Y.; Mohammadi Foumani, N.; Salehi, M.; Kuhlmann, L.; Mackellar, G.; Martinez-Maldonado, R.; Haffari, G.; Swiecki, Z.; Li, X.; Chen, G.; Gašević, D. (2024). Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning. LAK '24: Proceedings of the 14th Learning Analytics and Knowledge Conference. New York: Association for Computing Machinery; 701–712.
10. Svetec, B.; Divjak, B.; Horvat, D.; Pažur Aničić, K. (2024). Predicting the Outcomes of PBL: Comparison of Two Methods. 35th International Scientific Conference CECIIS 2024. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 325–332.