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 (in press)
Paikrao, A., Nath, D., Rajendran, R., Mitra, R., Enhancing Retrospective Think-Aloud Protocols with Eye-Gaze data, International Conference on Computers in Education (ICCE 2025), Dec 01-05, 2025 (in press)
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.
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).
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., & Rajendran, R. (2023). A Trace-Based Generalized Multimodal SRL Framework for Reading-Writing Tasks. In Educational Data Mining (EDM 2023) (Doctoral Consortium).
Satavlekar, S., Nath, D., Priyadarshini, R., Prasad, P., Singh, D. K., & Rajendran, R. (2021). Unraveling Learner Interaction Strategies in VeriSIM for Software Design Diagrams. In 2021 International Conference on Advanced Learning Technologies (ICALT) (pp. 308-310). IEEE.
Nath, D., Anubhav, Singh, M., Sethia, D., Kalra, D., & Indu, S. (2020, March). A comparative study of subject-dependent and subject-independent strategies for EEG-based emotion recognition using LSTM network. In Proceedings of the 2020 4th International Conference on Compute and Data Analysis (pp. 142-147).
Anubhav, Nath, D., Singh, M., Sethia, D., Kalra, D., & Indu, S. (2020, February). An Efficient Approach to EEG-based Emotion Recognition using LSTM Network. In 2020 16th IEEE International Colloquium on Signal Processing & its Applications (CSPA) (pp. 88-92). IEEE.