Badhe, V., Rajendran, R., & Dasgupta, C. (2025). Investigating the Relationship between Teams’ Socially Shared Metacognitive Regulation (SSMR) and Transactivity in Collaborative Problem-Solving: A Mixed-Method Analysis. In Frontline Learning research (FLR). (Under review).
Badhe, V., Rajendran, R. (2025) Socially Shared Metacognitive Regulation in Teams with Divergent Outcomes during Engineering Collaborative Problem-Solving. In the European Journal of Engineering Education (EJEE). (Under review).
BADHE, V., RASTE, S., MURTHY, S., & IYER, S. (2025). Sustaining Learners’ Interest: Applying IDC Theory in a Semester-long Project-based Learning Course. In Research and Practice in Technology Enhanced Learning (RPTEL). (Under review).
Badhe, V., Rajendran, R., & Dasgupta, C. (2025). Understanding the Triggers and Dynamics of Socially Shared Metacognitive Regulation in Teams with Divergent Outcomes. In Proceedings of the Jiang, B. et al. (Eds.) (2025). Proceedings of the 33rd International Conference on Computers in Education. Asia-Pacific Society for Computers in Education
Badhe, V., Rajendran, R., & Shaha, J. (2024). Socially Shared Metacognitive Regulation in Face-to-Face Collaborative Problem-Solving: Cyclical Phases, Foci and Functions. International Association for Development of the Information Society.
Badhe, V., Dasgupta, C., & Rajendran, R. (2023). Investigating teams' Socially Shared Metacognitive Regulation (SSMR) and transactivity in project-based computer supported collaborative learning environments. In 16th International Conference on Educational Data Mining, EDM 2023.
Badhe, V., Priyadarshini, R., & Dasgupta, C. (2022). Understanding SSRL strategies and its impact on group performance in a CSCL environment: a case study from a project-based learning course in India. In Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning-CSCL 2022, pp. 187-194. International Society of the Learning Sciences.
Dodda, B., Badhe, V., & Rajendran, R., (2025). “Vid2Log: A Machine Learning Approach to Structured Screen Activity Logging”. In B. Jiang et al. (Eds.), Proceedings of the 33rd International Conference on Computers in Education. Asia-Pacific Society for Computers in Education.
Sontakke, S., Badhe, V., Paikrao, A. & Rajendran, R., (2025). “QUAiL: A Web-Based Qualitative Analysis Tool for Textual Data”. In B. Jiang et al. (Eds.), Proceedings of the 33rd International Conference on Computers in Education. Asia-Pacific Society for Computers in Education.
Marina, C., Badhe, V., & SP, Kumar. (2025, December). Exploring the Impact of Metacognitive Prompts on the Application of Metacognitive Skills during Engineering Problem-solving. Singapore: Springer Nature Singapore.
BHURLE, M., BADHE, V., & RAJENDRAN., R (2025, December). Investigating the Impact of AI Generated Mnemonic Illustrations on Learning Japanese Kanji. In the International Conference on Computers in Education.
Shaha, J., Badhe, V., & Rajendran, R. (2024). Investigating the Functionality of Metacognitive Prompt during the Circuit Analysis Problem-Solving. International Association for Development of the Information Society.
Kartik, N. V. J. K., Gupta, P., Vinayak, Desai, A., Badhe, V., Ashwin, T. S., ... & Rajendran, R. (2024, December). Unlocking the Triggers: Automating the Identification of Triggers of Socially Shared Metacognitive Regulation in Collaborative Problem-Solving. In International Conference on Technology 4 Education (pp. 43-51). Singapore: Springer Nature Singapore.
Patil, K., & Badhe, V. (2024, December). Beyond the Code: Identifying Surface Learning Approaches in Engineering Students’ Programming Solutions. In the International Conference on Technology 4 Education (pp. 360-369). Singapore: Springer Nature Singapore.
BADHE, V., RASTE, S., MURTHY, S., & IYER, S. (2023, December). Sustaining students’ interest in an instructional system design course by leveraging interest-driven creator theory. In the International Conference on Computers in Education.
Pal, S., Badhe, V., & Dasgupta, C. (2023, July). Investigating the Role of Closed Captioning and Live Transcription on DHH Students' Perception of Inclusivity in a Face-to-Face Classroom Environment. In 2023 IEEE International Conference on Advanced Learning Technologies (ICALT) (pp. 218-220). IEEE.
Prasad, A., Prajapati, S., & BADHE, V. (2023, December). Design and Development of a Sentence Construction Game for Deaf and Hard of Hearing (DHH) Users: A Qualitative Usability Study. In the International Conference on Computers in Education.
Ishika, I., Vasudevan, S., Badhe, V., Pawar, M., & Murthy, S. (2023, December). Empowering Teachers to Identify Quality Game Based Learning Solutions. In the International Conference on Technology 4 Education. Singapore: Springer Nature Singapore.
Soundararaj, G., Badhe, V., Ishika, I., Pawar, M., Dasgupta, C., & Murthy, S. (2022, November). Unpacking Contextual Parameters Influencing the Quality of Personalized Adaptive Learning EdTech Applications. In the International Conference on Computers in Education.
Priyadarshini, R., Badhe, V. P., Srivastava, A., & Dasgupta, C. (2022). Leveraging heuristic reasoning for scaffolding student’s understanding in HCI classrooms. In the 4th Annual Symposium on HCI Education, EduCHI 2022.
Badhe, V., Banerjee, G., & Dasgupta, C. (2021, November). Design Guidelines for Scaffolding Self-Regulation in Personalized Adaptive Learning (PAL) Systems: A Systematic Review. In the International Conference on Computers in Education.
Tools Demo papers at International Conference (Peer-reviewed):
Saket Sontakke, Vishwas Badhe, Amit Paikrao and Ramkumar Rajendran, “Demonstrating QUAiL: An online text data Analysis Tool”, International Conference on Technology 4 Education (T4E 2025) at IIT Madras.
Dodda, B., Badhe, V., & Rajendran, R., (2025). “Vid2Log: A Machine Learning Approach to Structured Screen Activity Logging” International Conference on Technology 4 Education (T4E 2025) at IIT Madras.