Debarshi Nath

About Me

I am a doctoral research scholar in the Joint PhD programme at IIT Bombay-Monash Research Academy. I am affiliated to the Centre for Educational Technology at Indian Institute of Technology Bombay, India and Centre for Learning Analytics at Monash (CoLAM) under Department of Human-Centred Computing at Monash University, Australia. My supervisors are Ramkumar Rajendran and Dragan Gasevic.

My research interests are in Learning Analytics, Self-Regulated Learning, Multimodal Analytics, Eye-tracking analytics and Machine Learning.

Publications

From PhD (2021- )

Nath, D., Gasevic, D., Fan, Y., & Rajendran, R. (2025, July). How do Learners Read the Content in a Multi-Source Reading-to-Write Task? – A Multimodal Study. In 26th International Conference on Artificial Intelligence in Education (AIED 2025), July 22-26, 2025.
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, March). 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, March). 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).
Nath, D., Gasevic, D., & Rajendran, R. (2023, January). A Trace-Based Generalized Multimodal SRL Framework for Reading-Writing Tasks. In Educational Data Mining.
Satavlekar, S., Nath, D., Priyadarshini, R., Prasad, P., Singh, D. K., & Rajendran, R. (2021, July). Unraveling Learner Interaction Strategies in VeriSIM for Software Design Diagrams. In 2021 International Conference on Advanced Learning Technologies (ICALT) (pp. 308-310). IEEE.

From Masters (2018-2020)

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.