| 2026 | AIED | Making Advanced Temporal Visualizations Accessible to Educators Using Generative AI. | Debarshi Nath, Yash Desai, Ramkumar Rajendran, Dragan Gasevic |
| 2025 | AIED | How Do Learners Read the Content in a Multi-source Reading-to-Write Task? - A Multimodal Study. | Debarshi Nath, Dragan Gasevic, Yizhou Fan, Ramkumar Rajendran |
| 2025 | LAK | Turning Real-Time Analytics into Adaptive Scaffolds for Self-Regulated Learning Using Generative Artificial Intelligence. | Tongguang Li, Debarshi Nath, Yixin Cheng, Yizhou Fan, Xinyu Li, Mladen Rakovic, Hassan Khosravi, Zachari Swiecki, Yi-Shan Tsai, Dragan Gasevic |
| 2024 | LAK | CTAM4SRL: A Consolidated Temporal Analytic Method for Analysis of Self-Regulated Learning. | Debarshi Nath, Dragan Gasevic, Yizhou Fan, Ramkumar Rajendran |
| 2023 | EDM | A Trace-Based Generalized Multimodal SRL Framework for Reading-Writing Tasks. | Debarshi Nath, Dragan Gasevic, Ramkumar Rajendran |
| 2021 | ICALT | Unraveling Learner Interaction Strategies in VeriSIM for Software Design Diagrams. | Spruha Satavlekar, Debarshi Nath, Rajashri Priyadarshini, Prajish Prasad, Daevesh Kumar Singh, Ramkumar Rajendran |