Automatic Identification of Affective States Using Student Log Data in ITS. - Ramkumar Rajendran (AIED, 2011)

Literature Driven Method for Modeling Frustration in an ITS. - Ramkumar Rajendran; Sridhar Iyer; Sahana Murthy (ICALT, 2012)

Impact of Mindspark's Adaptive Logic on Student Learning. - Ramkumar Rajendran; Aarthi Muralidharan (T4E, 2013)

A Theory-Driven Approach to Predict Frustration in an ITS. - Ramkumar Rajendran; Sridhar Iyer; Sahana Murthy; Campbell Wilson; Judithe Sheard (IEEE Trans. Learn. Technol., 2013)

Modeling Learners' Metacognitive Skills in Open Ended Learning Environments. - Ramkumar Rajendran; Gautam Biswas (ICCE, 2016)

Data Collection in Open Ended Learning Environment for Learning Analytics. - Michael Tscholl; Ramkumar Rajendran; Gautam Biswas; Benjamin S. Goldberg; Robert A. Sottilare (ICCE, 2016)

Analogy-Based Reasoning with Memory Networks for Future Prediction. - Daniel Andrade; Bing Bai; Ramkumar Rajendran; Yotaro Watanabe (CoCo@NIPS, 2016)

Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior. - Ramkumar Rajendran; Anurag Kumar; Kelly E. Carter; Daniel T. Levin; Gautam Biswas (EDM, 2018)

A Temporal Model of Learner Behaviors in OELEs using Process Mining. - Ramkumar Rajendran; Anabil Munshi; Mona Emara; Gautam Biswas (ICCE, 2018)

Studying the Interactions between Components of Self Regulated Learning in Open Ended Learning Environments. - Anabil Munshi; Ramkumar Rajendran; Jaclyn Ocumpaugh; Allison L. Moore; Gautam Biswas (ICLS, 2018)

How Are Students' Emotions Associated with the Accuracy of Their Note Taking and Summarizing During Learning with ITSs? - Michelle Taub; Nicholas V. Mudrick; Ramkumar Rajendran; Yi Dong; Gautam Biswas; Roger Azevedo (ITS, 2018)

Securing Substations through Command Authentication Using On-the-fly Simulation of Power System Dynamics. - Daisuke Mashima; Binbin Chen 001; Toby Zhou; Ramkumar Rajendran; Biplab Sikdar 001 (SmartGridComm, 2018)

Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments. - Anabil Munshi; Ramkumar Rajendran; Jaclyn Ocumpaugh; Gautam Biswas; Ryan S. Baker 001; Luc Paquette (UMAP, 2018)

Leveraging knowledge bases for future prediction with memory comparison networks. - Daniel Andrade; Bing Bai; Ramkumar Rajendran; Yotaro Watanabe (AI Commun., 2018)

Do Students' Learning Behaviors Differ when they Collaborate in Open-Ended Learning Environments? - Mona Emara; Ramkumar Rajendran; Gautam Biswas; Mahmod Okasha; Adel Alsaeid Elbanna (Proc. ACM Hum. Comput. Interact., 2018)

Capturing Learner Interaction in Computer-Based Learning Environment: Design and Application. - Rumana Pathan; Urfa Shaikh; Ramkumar Rajendran (T4E, 2019)

What Factors Affect a Primary Student's Performance? - Aaditya Singh; Swetha Mohan; Vaibhav Singhal; Rajaraman Krishnan; Ramkumar Rajendran (T4E, 2019)

Personalized Affective Feedback to Address Students' Frustration in ITS. - Ramkumar Rajendran; Sridhar Iyer; Sahana Murthy (IEEE Trans. Learn. Technol., 2019)

Impact of Gender on Motivation, Engagement and Interaction Behavior in Mobile assisted learning of English. - Ramkumar Rajendran; Gargi Banerjee; Deepak Pathak; Sivaranjani Sivamohan (ICALT, 2020)

Learning Analytics for Humanities and Design Education. - Rwitajit Majumdar; Geetha Bakilapadavu; Ramkumar Rajendran; Sameer Sahasrabudhe; Brendan Flanagan; Mei-Rong Alice Chen; Hiroaki Ogata (ICCE, 2020)

Mechanism to capture learner's interaction in VR-based learning environment: design and application. - Rumana Pathan; Ramkumar Rajendran; Sahana Murthy (Smart Learn. Environ., 2020)

Correction to: Mechanism to capture learner's interaction in VR-based learning environment: design and application. - Rumana Pathan; Ramkumar Rajendran; Sahana Murthy (Smart Learn. Environ., 2020)

Multilevel Learner Modeling in Training Environments for Complex Decision Making. - Gautam Biswas; Ramkumar Rajendran; Naveeduddin Mohammed; Benjamin S. Goldberg; Robert A. Sottilare; Keith Brawner; Michael Hoffman (IEEE Trans. Learn. Technol., 2020)

SQLearn: A Browser Based Adaptive SQL Learning Environment. - Pushkar Bhuse; Jash Jain; Abheet Shaju; Varun John; Abhijit Joshi; Ramkumar Rajendran (HCI (31), 2021)

Learning about learners: Understanding learner behaviours in software conceptual design TELE. - Indrayani Nishane; Vivek Sabanwar; T. G. Lakshmi; Daevesh Kumar Singh; Ramkumar Rajendran (ICALT, 2021)

Unraveling Learner Interaction Strategies in VeriSIM for Software Design Diagrams. - Spruha Satavlekar; Debarshi Nath; Rajashri Priyadarshini; Prajish Prasad; Daevesh Kumar Singh; Ramkumar Rajendran (ICALT, 2021)

A Coding Mechanism for Analysis of SRL Processes in an Open-Ended Learning Environment. - Rumana Pathan; Sahana Murthy; Ramkumar Rajendran (ICCE, 2021)

An AES System to Assist Teachers in Grading Language Proficiency and Domain Accuracy Using LSTM Networks. - Aditya Sahani; Forum Patel; Shivani Mehta; Rekha Ramesh; Ramkumar Rajendran (ICCE, 2021)

From Hello to Bye-Bye: Churn Prediction in English Language Learning App. - Daevesh Kumar Singh; Rumana Pathan; Gargi Banerjee; Ramkumar Rajendran (ICCE, 2021)

Investigating learners' Cognitive Engagement in Python Programming using ICAP framework. - Daevesh Kumar Singh; Ramkumar Rajendran (EDM, 2022)

Mechanism to Capture Learners' Interactions in Virtual Reality Learning Environment. - Antony Prakash; Ramkumar Rajendran (ICALT, 2022)

PyGuru: A Programming Environment to Facilitate Measurement of Cognitive Engagement. - Daevesh Kumar Singh; Hema Subramaniam; Ramkumar Rajendran (ICCE, 2022)

Identifying Metacognitive Processes Using Trace Data in an Open-Ended Problem-Solving Learning Environment. - Rumana Pathan; Daevesh Kumar Singh; Sahana Murthy; Ramkumar Rajendran (ITS, 2022)

Preserving Privacy of Face and Facial Expression in Computer Vision Data Collected in Learning Environments. - T. S. Ashwin; Ramkumar Rajendran (AIED (Posters/Late Breaking Results/...), 2023)

Investigating the Impact of the Mindset of the Learners on Their Behaviour in a Computer-Based Learning Environment. - Indrayani Nishane; Ramkumar Rajendran; Sridhar Iyer (AIED (Posters/Late Breaking Results/...), 2023)

Investigating teams' Socially Shared Metacognitive Regulation (SSMR) and transactivity in project-based computer supported collaborative learning environment. - Vishwas Badhe; Chandan Dasgupta; Ramkumar Rajendran (EDM, 2023)

A Trace-Based Generalized Multimodal SRL Framework for Reading-Writing Tasks. - Debarshi Nath; Dragan Gasevic; Ramkumar Rajendran (EDM, 2023)

Fostering Interaction in Computer-Supported Collaborative Learning Environment. - Pratiksha Virendra Patil; Ashwin T. S.; Ramkumar Rajendran (EDM, 2023)

Analyzing the impact of metacognition prompts on learning in CBLE. - Jyoti Shaha; Ramkumar Rajendran (EDM, 2023)

Keeping Teams in the Game: Predicting Dropouts in Online Problem-Based Learning Competition. - Aditya Panwar; Ashwin T. S.; Ramkumar Rajendran; Kavi Arya (ICCE, 2023)

Unveiling Learners' Interaction Behavior in Virtual Reality Learning Environment. - Antony Prakash; Ramkumar Rajendran (ICCE, 2023)

Virtual Reality and Embodied Learning: Unraveling the Relationship via Dynamic Learner Behavior. - Antony Prakash; Ramkumar Rajendran (ICCE, 2023)

Ethical Challenges and Best Practices for Transparency in AIED: A Literature Review and Learner Centric Guidelines. - Ram Das Rai; Meera Pawar; Ramkumar Rajendran (ICCE, 2023)

DLOT: An open-source application to assist human observers. - Ashwin T. S.; Danish Shafi Shaikh; Ramkumar Rajendran (ICCE, 2023)

Automatic Detection of Negotiation in Collaborative Complex Problem Solving Interactions. - Daevesh Kumar Singh; Ulfa Khwaja; Sahana Murthy; Ramkumar Rajendran (ICCE, 2023)

Catalyzing Python Learning: Assessing an LLM-based Conversational Agent. - Daevesh Kumar Singh; Indrayani Nishane; Ramkumar Rajendran (ICCE, 2023)

Investigating Interaction Behaviors of Learners in VR Learning Environment. - Antony Prakash; Danish Shafi Shaikh; Ramkumar Rajendran (VR Workshops, 2023)

A systematic review of intelligent tutoring systems based on Gross body movement detected using computer vision. - T. S. Ashwin; Vijay Prakash; Ramkumar Rajendran (Comput. Educ. Artif. Intell., 2023)

Investigating behavioral patterns of procrastinators in a Wiki-based activity. - Anchal Garg; Ramkumar Rajendran (Educ. Inf. Technol., 2023)

Mapping Challenges in Teaching-Learning Software Testing: Limitations and Unaddressed Issues in Contemporary Research. - Setu Maheshwari; Ramkumar Rajendran; Sridhar Iyer (COMPUTE, 2024)

The Impact of Structured Prompt-Driven Generative AI on Learning Data Analysis in Engineering Students. - Ashish Garg; Ramkumar Rajendran (CSEDU (2), 2024)

Analysing Learner Strategies in Programming Using Clickstream Data. - Daevesh Kumar Singh; Indrayani Nishane; Ramkumar Rajendran (CSEDU (2), 2024)

Analyzing the Role of Generative AI in Fostering Self-directed Learning Through Structured Prompt Engineering. - Ashish Garg; Ramkumar Rajendran (ITS (1), 2024)

CTAM4SRL: A Consolidated Temporal Analytic Method for Analysis of Self-Regulated Learning. - Debarshi Nath; Dragan Gasevic; Yizhou Fan; Ramkumar Rajendran (LAK, 2024)

Advancing Speaker Diarization With Whisper Speech Recognition for Different Learning Environments. - Aarsh Desai; N. V. J. K. Kartik; Priyesh Gupta; Vinayak 003; Ashwin T. S.; Manjunath K. Vanahalli; Ramkumar Rajendran (TALE, 2024)

Multimodal Analysis of Learning-Centered Emotions and Cognitive Processes in Open-Ended Learning Environments. - Samarth Yadannavar; Ashwin T. S.; Rumana Pathan; Manjunath K. Vanahalli; Ramkumar Rajendran (TALE, 2024)

Cognitive engagement as a predictor of learning gain in Python programming. - Daevesh Kumar Singh; Ramkumar Rajendran (Smart Learn. Environ., 2024)

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 (AIED (5), 2025)

Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education. - Ashish Garg; K. Nisumba Soodhani; Ramkumar Rajendran (Comput. Educ. Artif. Intell., 2025)

Decoding Learner Behavior in Virtual Reality Education: Insights from Epistemic Network Analysis and Differential Sequence Mining. - Antony Prakash; Ramkumar Rajendran (IEEE Trans. Vis. Comput. Graph., 2025)