Publications

Nath, D., Gašević, 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 International Conference on Artificial Intelligence in Education (pp. 293-300). Cham: Springer Nature Switzerland.

A. Prakash and R. Rajendran, (May 2025) "Decoding Learner Behavior in Virtual Reality Education: Insights from Epistemic Network Analysis and Differential Sequence Mining," in IEEE Transactions on Visualization and Computer Graphics, vol. 31, no. 5, pp. 2675-2683

Ashwin T. S., Suraj Ranganath, Kabyashree Khanikar, Karishma Khan, Ramkumar Rajendran & Ritayan Mitra (2025) Multisensor Dataset of South Asian Post-Graduate Students Working on Mental Rotation Tasks. Sci Data 12, 563 . https://doi.org/10.1038/s41597-025-04865-5

Ashish Garg, K. Nisumba Soodhani, Ramkumar Rajendran (2025) Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education, Computers and Education: Artificial Intelligence, Volume 8, 2025, 100380, ISSN 2666-920X, https://doi.org/10.1016/j.caeai.2025.100380.

Shaha J. (March 2025), Investigating the Impact of Metacognitive Prompts on Strategy and Problem-Solving in Circuit Analysis in a Computer-Based Learning Environment. Doctoral Consortium paper. Companion Proceedings 15th International Conference on Learning Analytics & Knowledge (LAK25)

Li, T., Nath, D., Cheng, Y., Fan, Y., Li, X., Raković, M., ... & 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).

Ashwin, T. S., Prakash, V., & Rajendran, R. (2023). A Systematic Review of Intelligent Tutoring Systems based on Gross Body Movement Detected using Computer Vision. Computers and Education: Artificial Intelligence, 100125.

Singh, D. K., Nishane, I., & Rajendran, R. (2024). Analysing Learner Strategies in Programming Using Clickstream Data. In CSEDU (2) (pp. 87-96).

Garg, A., & Rajendran, R. (2024). The Impact of Structured Prompt-Driven Generative AI on Learning Data Analysis in Engineering Students. In CSEDU (2) (pp. 270-277).

K, N. S., V, A., Saxena, A., & Rajendran, R. (2024). Unraveling Learner Self-Efficacy in the Electronic Making: Insights from Interaction Analysis, Self-Reports, and Interview. In Lindgren, R., Asino, T. I., Kyza, E. A., Looi, C. K., Keifert, D. T., & Suárez, E. (Eds.), Proceedings of the 18th International Conference of the Learning Sciences - ICLS 2024 (pp. 1454-1457). International Society of the Learning Sciences. https://doi.org/10.22318/icls2024.681581

Garg, A., Rajendran, R. Investigating behavioral patterns of procrastinators in a Wiki-based activity. Educ Inf Technol 28, 16705–16721 (2023). https://doi.org/10.1007/s10639-023-11893-4

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).

TS, Ashwin., Ranganath, S., Khanikar, K., Khan, K., Rajendran, R., & Mitra, R. (2025). A Multisensor Dataset of South Asian Post-Graduate Students Working on Mental Rotation Tasks. Scientific Data, 12(1), 563.https://doi.org/10.1038/s41597-025-04865-5

A. Prakash and R. Rajendran, "Decoding Learner Behavior in Virtual Reality Education: Insights from Epistemic Network Analysis and Differential Sequence Mining," in IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2025.3549899.

Ashwin, T. S., Prakash, V., & Rajendran, R. (2023). A Systematic Review of Intelligent Tutoring Systems based on Gross Body Movement Detected using Computer Vision. Computers and Education: Artificial Intelligence, 100125.

Badhe, V., Dasgupta, C., & Rajendran, R. (2023). Investigating teams’ Socially Shared Metacognitive Regulation (SSMR) and transactivity in project-based computer-supported collaborative learning environment.

A. Prakash, D. S. Shaikh and R. Rajendran, "Investigating Interaction Behaviors of Learners in VR Learning Environment," 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Shanghai, China, 2023, pp. 931-932, doi: 10.1109/VRW58643.2023.00308. 

A. Prakash, "[DC] Investigating student's learning processes in a Virtual Reality learning environment by analyzing their interaction behavior," 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Shanghai, China, 2023, pp. 995-996, doi: 10.1109/VRW58643.2023.00340.

Nishane, I., Rajendran, R., & Iyer, S. (2023). Investigating the Impact of the Mindset of the Learners on Their Behaviour in a Computer-Based Learning Environment. In International Conference on Artificial Intelligence in Education (pp. 169-174). Cham: Springer Nature Switzerland.

Singh, D., Nishane, I., & Rajendran, R. (2023). Catalyzing Python Learning: Assessing an LLM-based Conversational Agent. In International Conference on Computers in Education. 

Shaha, J., & Rajendran, R. (2023). Analyzing the impact of metacognition prompts on learning in CBLE. In Proceedings of the 16th International Conference on Educational Data Mining (pp. 561-563). 

Ashwin, T. S.,  Rajendran., R. (2023) Preserving Privacy of Face and Facial Expression in Computer Vision Data Collected in Learning Environments.  International Conference on Artificial Intelligence in Education, Tokyo, Japan.

Ashwin, T.S., Shafi, SD., Rajendran, R. (2023). DLOT: An open-source application to assist human observers. In Proceedings of the 31st International Conference on Computers in Education (ICCE 2023), Matsue, Japan.

K., Soodhani, N. et.al. (2023) Students' Point Of View of Real Life Project Based Learning. In T4E 2023.

Nishane, I., Singh, D., Rajendran, R., & Iyer, S. (2023). Does learner mindset matter while learning programming in a computer-based learning environment?. In Proceedings of the 2023 IEEE Eleventh International Conference on Technology for Education (T4E), Mumbai, India. 

Prakash, A., & Rajendran, R. (2023). Unveiling Learners’ Interaction Behavior in Virtual Reality Learning Environment. In proceedings of the 31st International Conference on Computers in Education. Asia-Pacific Society for Computers in Education.

Prakash, A., & Rajendran, R. (2023). A Temporal Model of Learner Behavior in an Immersive Virtual Reality Learning Environment Using Process Mining. [To appear in the proceedings of the IEEE Eleventh International Conference on Technology 4 Education (T4E 2023).

Prakash, A., & Rajendran, R. (2023). Virtual Reality and Embodied Learning: Unraveling the Relationship via Dynamic Learner Behavior. In proceedings of the 31st International Conference on Computers in Education (ICCE 2023), Matsue, Japan.

Rai, R. D., Pawar, M, & Rajendran, R. (2023). Ethical Challenges and Best Practices for Transparency in AIED: A Literature Review and Learner Centric Guidelines. In Proceedings of the 31st International conference on computers in education. Asia- Pacific Society for Computers in Education.

Patil, P, T. S. Ashwin, and Rajendran, R. "Fostering Interaction in Computer-Supported Collaborative Learning Environment." (Proceedings of the 16th International Conference on Educational Data Mining, July 2023).

Nishane, I., Rajendran, R., & Iyer, S. (2023, June). Investigating the Impact of the Mindset of the Learners on Their Behaviour in a Computer-Based Learning Environment. In International Conference on Artificial Intelligence in Education (pp. 169-174). Cham: Springer Nature Switzerland.

A. Prakash. Exploring students’ learning processes by logging and analyzing their interaction behavior in a virtual reality learning environment. In M. Feng, T. K¨ aser, and P. Talukdar, editors, Proceedings of the 16th International Conference on Educational Data Mining, pages 543–547, Bengaluru, India, July 2023. International Educational Data Mining Society. 

K., Soodhani, N. Analyzing Team Cognition and Combined Efficacy In Makerspaces Using Multimodal Data. In M. Feng, T. K¨ aser, and P. Talukdar, editors, Proceedings of the 16th International Conference on Educational Data Mining, pages 557–560, Bengaluru, India, July 2023. International Educational Data Mining Society. 

Badhe, V., Dasgupta, C., & Rajendran, R. (2023). Investigating teams’ Socially Shared Metacognitive Regulation (SSMR) and transactivity in project-based computer supported collaborative learning environment. In Educational Data Mining (EDM) conference.

SINGH, D., SUBRAMANIAM, H., & RAJENDRAN, R.. PyGuru: A Programming Environment to Facilitate Measurement of Cognitive Engagement

Ashwin T S and R. Rajendran, "Audio Feature based Monotone Detection and Affect Analysis for Teachers," 2022 IEEE Region 10 Symposium (TENSYMP), 2022, pp. 1-6, doi: 10.1109/TENSYMP54529.2022.9864393. [Link]

Pathan, R., Rajendran, R., & Murthy, S. (2022). A literature review of modelling SRL using trace data. [Link]

Pathan, R., Singh, D., Murthy, S., & Rajendran, R. (2022, June). Identifying Metacognitive Processes Using Trace Data in an Open-Ended Problem-Solving Learning Environment. In Intelligent Tutoring Systems: 18th International Conference, ITS 2022, Bucharest, Romania, June 29–July 1, 2022, Proceedings (pp. 213-226). Cham: Springer International Publishing. [Link]

Prakash, A., & Rajendran, R. (2022, July). Mechanism to Capture Learners’ Interactions in Virtual Reality Learning Environment. In 2022 International Conference on Advanced Learning Technologies (ICALT) (pp. 335-337). IEEE. 

SINGH, D., PATHAN, R., BANERJEE, G., & RAJENDRAN, R. From Hello to Bye-Bye: Churn Prediction in English Language Learning App. [Link]

PATHAN, R., MURTHY, S., & RAJENDRAN, R. A Coding Mechanism for Analysis of SRL Processes in an Open-Ended Learning Environment. [Link]

Indrayani Nishane, Vivek Sabanwar, Lakshmi T. G., Daevesh Kumar Singh, and Ramkumar Rajendran (2021). Learning about learners: Understanding learner behaviours in software conceptual design TELE. International Conference on Advanced Learning Technologies (ICALT 2021)  [Link]

Spruha Satavlekar, Debarshi Nath, Rajashri Priyadarshini, Prajish Prasad, Daevesh Kumar Singh, Ramkumar Rajendran (2021). Unravelling Learner Interaction Strategies in VeriSIM for Software Design Diagrams. International Conference on Advanced Learning Technologies (ICALT 2021) [Link]

Pathan, R., Rajendran, R., & Murthy, S. (2020). Mechanism to capture learner’s interaction in VR-based learning environment: design and application. Smart Learning Environments, 7(1), 1-15. [Link]

MAJUMDAR, R., BAKILAPADAVU, G., Rajendran, R., SAHASRABUDHE, S., FLANAGAN, B., CHEN, M., & OGATA, H. (2020, November). Learning Analytics for Humanities and Design Education. In 28th International Conference on Computers in Education Conference Proceedings (Vol. 2, pp. 154-156). Asia-Pacific Society for Computers in Education (APSCE). [Link]

Rajendran, R., Banerjee, G., Pathak, D., & Sivamohan, S. (2020, July). Impact of Gender on Motivation, Engagement and Interaction Behavior in Mobile assisted learning of English. In 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT) (pp. 230-232). IEEE. [Link]

Biswas, G., Rajendran, R., Mohammed, N., Goldberg, B.S., Sottilare, R.A., Brawner, K., and Hoffman, M. (2019), “Multilevel Learner Modeling in Training Environments for Complex Decision Making,” IEEE Transactions on Learning Technologies (In Press), 2019. [Link]

Taub, M., Azevedo, R., Rajendran, R., Cloude, E. B., Biswas, G., & Price, M. J. (2019). How are students’ emotions related to the accuracy of cognitive and metacognitive processes during learning with an intelligent tutoring system? (In Press). Learning and Instruction. [Link]

Rajendran, R., Iyer, S., & Murthy, S. (2019). Personalized affective feedback to address students frustration in ITS. IEEE Transactions on Learning Technologies, 12(1), 87-97 . [Link]

Pathan, R., Shaikh, U., & Rajendran, R. (2019, December). Capturing Learner Interaction in Computer-Based Learning Environment: Design and Application. In 2019 IEEE Tenth International Conference on Technology for Education (T4E)(pp. 146-153). IEEE. [Link]

Singh, A., Mohan, S., Singhal, V., Krishnan, R., & Rajendran, R. (2019, December). What Factors Affect a Primary Student's Performance?. In 2019 IEEE Tenth International Conference on Technology for Education (T4E) (pp. 286-287). IEEE. [Link]