Ramkumar Rajendran

Research Interest

Learning Analytics (LA), Affective Computing, Educational Data Mining (EDM), AI in Education (AIED), Intelligent Learning environments, Learner Modeling, Cognitive Strategies, Self-regulated learning, Big Data in Education, MOOC Data Analytics, Natural Language Processing, and Deep Learning. 

About Me: 

I am an associate professor of IDP in educational technology at IITB. I work on sponsored research projects from EdTech organizations in learning analytics and ITS in India. My research interest is learning analytics in intelligent learning environments (ILEs). The importance of providing personalized learning content to the learners has led researchers to include affective states, cognitive strategies, and metacognition (CAM) in the learner models of ILEs. Hence, my research goal is to help novice learners when they work on a complex decision-making problem in ILEs by studying the interaction between CAM processes to model their self-regulated learning behavior using multimodal learning analytics. 

Short-Bio: 

Ramkumar Rajendran is an Associate Professor in the Inter-Disciplinary Programme in Educational Technology at IITB. Before this, he worked as a research scholar at Vanderbilt University USA and as an assistant manager at NEC Central Research Laboratory in Japan. His research interests include Learning Analytics, Affective Computing, Educational Data Mining, Intelligent Learning environments, Self-regulated learning, MOOC Data Analytics, Natural Language Processing, and Deep Learning. Ramkumar received a Ph.D. from IITB-Monash Research Academy, IITB, India, and Monash University, Melbourne. He was a Program Chair and Track Chair for International Conferences like IEEE T4E, ICALT, LAK, and ICCE. He is currently serving on the Board of Directors for the International Educational Data Mining Society (IEDMS) and Executive Committee 

Teaching:

• ET 601 - Introduction to Educational Technology, 2023, 2024

• ET 605 - Adaptive Tutoring Systems. Also available in CDEEP course, 2019-2023 

• ET 610 - Learning Analytics and Educational Data Mining. Also offered as NPTEL course, 2021, 2019-2024 

• ET 618 - Self-Regulation in Technology Enhanced Learning. 2020

• AIED- Artificial Intelligence in Education Winter Course and under AUA to International Students Dec 2021, May 2022

Research Experience:

• 2023 Jun -       : Associate Professor at IDP in ET, IIT Bombay 

• 2018 Aug - 2023 May: Assistant Professor at IDP in ET, IIT Bombay 

• 2016 Aug -2018 Jul   : Postdoctoral research fellow at OELE research group, Vanderbilt University, U.S.

• 2014 Oct - 2018 Jul  : Researcher at Data Mining Group of CRL, at NEC Japan

• 2009 Jan - 2014 Feb : Ph.D. research scholar in IIT Bombay - Monash Research Academy, IITB

Sponsored Projects: 

Ongoing

• Personalized Learning Environment using GenAI, Sponsored by SBI Data Hub, IITB (Apr 2024 - Mar 2026)

• Affectbots: Affect Aware Video Bots for Course Content Delivery in Higher Education, Sponsored by The Innovations Hub, (May 2023 - Apr 2025)

Completed

• Digital Learning Solution Analytics Project, Sponsored by Kotak Education Foundation (Dec 2023 - Aug 2024)

• Modelling Cognitive Engagement in Learning Using Multimodal Data Analysis, by SATU Joint Research Scheme (JRS). (Aug 2020 - 2022 )

• Multimodal Learning Analytics for Intelligent Tutoring Systems, Sponsored by the Science and Engineering Research Board, Startup research grant. (Jan 2021 - Dec 2022)

• Personalized Adaptive Tutoring System to Train the Employees, Sponsored by Bank of Baroda Innovation Centre, Aug 2020 - July 2022

• Impact assessment of mobile-based Spoken English platform, Sponsored by Central Square Foundation, Aug - 2019 - Mar 020

• Modeling User’s Self-Regulated Learning Behavior using Multi-Modal Learning Analytics. IIT Bombay IRCC research grant. (2018 - 21)  

Community Involvement:

• Board of Directors for the International Educational Data Mining Society (IEDMS) and Executive Committee  (2024 - 2030)

• Serving as a Chair for SIG in LAEDM in Asia-Pacific Society for Computers in Education (APSCE), 2022-23.

• Serving as a Board of Studies for Data Science course at DJ Sanghvi College of Engineering and CS and Management course at JSPM Rajarshi Shahu College of Engineering.

• Chair for Sub-conference on Advanced Learning Technologies, Learning Analytics, Platforms, and Infrastructure, at the International Conference on Computers in Education (ICCE 2021).

• Served as a Co-Chair for the Sub-Conference on Advanced Learning Technologies, Learning Analytics, Platforms, and Infrastructure at the International Conference on Computers in Education (ICCE 2020), Darwin, Australia (Virtual).

• Served as a Program Co-Chair for the IEEE International Conference on Technology for Education 2019 (T4E 2019)

• Served as a Doctoral Consortium Co-chair for the IEEE International Conference on Advanced Learning Technologies (ICALT) 2019, Maceio, Brazil. 

• Reviewer for International Journals and Transactions: IEEE TLT, IJDET, CPRI, RPTEL, 

• PC member for International Conferences: ICALT, T4E, CTE, ICCE, AIED,...

• Served as an executive committee member of the IITB Alumni Association Japan Chapter from Mar 2015 to Jun 2016.

International Students:

• Hosted a student from Hokkaido University as part of the STSI Program