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Ramkumar Rajendran
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2020 – today
- 2024
- [c29]Daevesh Kumar Singh, Indrayani Nishane, Ramkumar Rajendran:
Analysing Learner Strategies in Programming Using Clickstream Data. CSEDU (2) 2024: 87-96 - [c28]Ashish Garg, Ramkumar Rajendran:
The Impact of Structured Prompt-Driven Generative AI on Learning Data Analysis in Engineering Students. CSEDU (2) 2024: 270-277 - [c27]Ashish Garg, Ramkumar Rajendran:
Analyzing the Role of Generative AI in Fostering Self-directed Learning Through Structured Prompt Engineering. ITS (1) 2024: 232-243 - [c26]Debarshi Nath
, Dragan Gasevic
CTAM4SRL: A Consolidated Temporal Analytic Method for Analysis of Self-Regulated Learning. LAK 2024: 645-655 - 2023
- [j9]T. S. Ashwin
A systematic review of intelligent tutoring systems based on Gross body movement detected using computer vision. Comput. Educ. Artif. Intell. 4: 100125 (2023) - [j8]Anchal Garg
Investigating behavioral patterns of procrastinators in a Wiki-based activity. Educ. Inf. Technol. 28(12): 16705-16721 (2023) - [c25]Indrayani Nishane
Investigating the Impact of the Mindset of the Learners on Their Behaviour in a Computer-Based Learning Environment. AIED (Posters/Late Breaking Results/...) 2023: 169-174 - [c24]T. S. Ashwin
Preserving Privacy of Face and Facial Expression in Computer Vision Data Collected in Learning Environments. AIED (Posters/Late Breaking Results/...) 2023: 561-567 - [c23]Vishwas Badhe, Chandan Dasgupta, Ramkumar Rajendran:
Investigating teams' Socially Shared Metacognitive Regulation (SSMR) and transactivity in project-based computer supported collaborative learning environment. EDM 2023 - [c22]Debarshi Nath, Dragan Gasevic, Ramkumar Rajendran:
A Trace-Based Generalized Multimodal SRL Framework for Reading-Writing Tasks. EDM 2023 - [c21]Pratiksha Virendra Patil, Ashwin T. S, Ramkumar Rajendran:
Fostering Interaction in Computer-Supported Collaborative Learning Environment. EDM 2023 - [c20]Jyoti Shaha, Ramkumar Rajendran:
Analyzing the impact of metacognition prompts on learning in CBLE. EDM 2023 - [c19]Antony Prakash, Danish Shafi Shaikh, Ramkumar Rajendran:
Investigating Interaction Behaviors of Learners in VR Learning Environment. VR Workshops 2023: 931-932 - [i2]T. S. Ashwin, Danish Shafi Shaikh, Ramkumar Rajendran:
DLOT: An Open-Source Application to Assist Human Observers. CoRR abs/2312.16361 (2023) - [i1]Aditya Panwar, Ashwin T. S, Ramkumar Rajendran, Kavi Arya:
Keeping Teams in the Game: Predicting Dropouts in Online Problem-Based Learning Competition. CoRR abs/2312.16362 (2023) - 2022
- [c18]Daevesh Kumar Singh, Ramkumar Rajendran:
Investigating learners' Cognitive Engagement in Python Programming using ICAP framework. EDM 2022 - [c17]Antony Prakash, Ramkumar Rajendran:
Mechanism to Capture Learners' Interactions in Virtual Reality Learning Environment. ICALT 2022: 335-337 - [c16]Rumana Pathan
Identifying Metacognitive Processes Using Trace Data in an Open-Ended Problem-Solving Learning Environment. ITS 2022: 213-226 - 2021
- [c15]Pushkar Bhuse, Jash Jain, Abheet Shaju, Varun John, Abhijit Joshi, Ramkumar Rajendran:
SQLearn: A Browser Based Adaptive SQL Learning Environment. HCI (31) 2021: 139-152 - [c14]Indrayani Nishane, Vivek Sabanwar
Learning about learners: Understanding learner behaviours in software conceptual design TELE. ICALT 2021: 297-301 - [c13]Spruha Satavlekar, Debarshi Nath
Unraveling Learner Interaction Strategies in VeriSIM for Software Design Diagrams. ICALT 2021: 308-310 - 2020
- [j7]Rumana Pathan
Mechanism to capture learner's interaction in VR-based learning environment: design and application. Smart Learn. Environ. 7(1): 35 (2020) - [j6]Rumana Pathan, Ramkumar Rajendran, Sahana Murthy:
Correction to: Mechanism to capture learner's interaction in VR-based learning environment: design and application. Smart Learn. Environ. 7(1): 36 (2020) - [j5]Gautam Biswas
Multilevel Learner Modeling in Training Environments for Complex Decision Making. IEEE Trans. Learn. Technol. 13(1): 172-185 (2020) - [c12]Ramkumar Rajendran, Gargi Banerjee, Deepak Pathak, Sivaranjani Sivamohan:
Impact of Gender on Motivation, Engagement and Interaction Behavior in Mobile assisted learning of English. ICALT 2020: 230-232
2010 – 2019
- 2019
- [j4]Ramkumar Rajendran
Personalized Affective Feedback to Address Students' Frustration in ITS. IEEE Trans. Learn. Technol. 12(1): 87-97 (2019) - [c11]Rumana Pathan, Urfa Shaikh, Ramkumar Rajendran:
Capturing Learner Interaction in Computer-Based Learning Environment: Design and Application. T4E 2019: 146-153 - [c10]Aaditya Singh, Swetha Mohan, Vaibhav Singhal, Rajaraman Krishnan, Ramkumar Rajendran:
What Factors Affect a Primary Student's Performance? T4E 2019: 286-287 - [e1]Maiga Chang, Ramkumar Rajendran, Kinshuk, Sahana Murthy, Venkatesh Kamat:
Tenth IEEE International Conference on Technology for Education, T4E 2019, Goa, India, December 9-11, 2019. IEEE 2019, ISBN 978-1-7281-4227-2 [contents] - 2018
- [j3]Daniel Andrade, Bing Bai, Ramkumar Rajendran, Yotaro Watanabe:
Leveraging knowledge bases for future prediction with memory comparison networks. AI Commun. 31(6): 465-483 (2018) - [j2]Mona Emara
Do Students' Learning Behaviors Differ when they Collaborate in Open-Ended Learning Environments? Proc. ACM Hum. Comput. Interact. 2(CSCW): 49:1-49:19 (2018) - [c9]Ramkumar Rajendran, Anurag Kumar, Kelly E. Carter, Daniel T. Levin, Gautam Biswas:
Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior. EDM 2018 - [c8]Anabil Munshi, Ramkumar Rajendran, Jaclyn Ocumpaugh, Allison L. Moore, Gautam Biswas:
Studying the Interactions between Components of Self Regulated Learning in Open Ended Learning Environments. ICLS 2018 - [c7]Michelle Taub, Nicholas V. Mudrick, Ramkumar Rajendran, Yi Dong, Gautam Biswas, Roger Azevedo:
How Are Students' Emotions Associated with the Accuracy of Their Note Taking and Summarizing During Learning with ITSs? ITS 2018: 233-242 - [c6]Daisuke Mashima, Binbin Chen
Securing Substations through Command Authentication Using On-the-fly Simulation of Power System Dynamics. SmartGridComm 2018: 1-7 - [c5]Anabil Munshi, Ramkumar Rajendran, Jaclyn Ocumpaugh, Gautam Biswas, Ryan S. Baker, Luc Paquette:
Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments. UMAP 2018: 131-138 - 2016
- [c4]Daniel Andrade, Bing Bai, Ramkumar Rajendran, Yotaro Watanabe:
Analogy-Based Reasoning with Memory Networks for Future Prediction. CoCo@NIPS 2016 - 2013
- [j1]Ramkumar Rajendran
A Theory-Driven Approach to Predict Frustration in an ITS. IEEE Trans. Learn. Technol. 6(4): 378-388 (2013) - [c3]Ramkumar Rajendran
Impact of Mindspark's Adaptive Logic on Student Learning. T4E 2013: 119-122 - 2012
- [c2]Ramkumar Rajendran
Literature Driven Method for Modeling Frustration in an ITS. ICALT 2012: 405-409 - 2011
- [c1]Ramkumar Rajendran
Automatic Identification of Affective States Using Student Log Data in ITS. AIED 2011: 612-615
Coauthor Index
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