Selected Publications
Selected Publications
Nath, D., Desai, Y., Rajendran, R., & Gasevic, D. (2026). Making advanced temporal visualizations accessible to educators using GenAI. In: Artificial Intelligence in Education. AIED 2026. Lecture Notes in Computer Science (in press). (Acceptance rate in 2026: 15.3%)
Nath, D., Fan, Y., Gasevic, D., & Rajendran, R. (2025). Balancing contextualisation and generalisation in trace-based measurement of self-regulated learning: A systematic review of theoretically-grounded studies. Review of Educational Research.
Paikrao, A., Nath, D., Rajendran, R., & Mitra, R. (2025). Enhancing Retrospective Think-Aloud Protocols with Eye-Gaze data. In Proceedings of the 33rd International Conference on Computers in Education. Asia-Pacific Society for Computers in Education.
Nath, D., Gašević, D., Fan, Y., Rajendran, R. (2025). How Do Learners Read the Content in a Multi-source Reading-to-Write Task? – A Multimodal Study. In: Artificial Intelligence in Education. AIED 2025. Lecture Notes in Computer Science, vol 15881. Springer, Cham. (Acceptance rate in 2025: <16%)
Jin, F. J. Y., Nath, D., Guan, R., Li, T., Li, X., Mello, R. F., ... & Tsai, Y. S. (2025). Analytics of Self‐Regulated Learning in Learning Analytics Feedback Processes: Associations With Feedback Literacy in Secondary Education. Journal of Computer Assisted Learning, 41(4), e70076.
Li, T., Nath, D., Cheng, Y., Fan, Y., Li, X., Raković, M., Khosravi, H., Swiecki, Z., Tsai, Y.S. and Gašević, D. (2025). Turning real-time analytics into adaptive scaffolds for self-regulated learning using generative artificial intelligence. In Proceedings of the 15th International Learning Analytics and Knowledge Conference (pp. 667-679).
Aldino, A. A., Tsai, Y. S., Gupte, S., Henderson, M., Nath, D., Gasevic, D., & Chen, G. (2025). A case study on learner-centered feedback: Differences and implications in higher education. Computers & Education, 105360.
Nath, D., Gasevic, D., Fan, Y., & Rajendran, R. (2024). CTAM4SRL: A Consolidated Temporal Analytic Method for Analysis of Self-Regulated Learning. In Proceedings of the 14th Learning Analytics and Knowledge Conference (pp. 645-655).