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PhD RESEARCH
PhD RESEARCH
Identifying Cold Start Problem in Knowledge Tracing with New Students
Identifying Cold Start Problem in Knowledge Tracing with New Students
(Fall 2023 - Summer 2024)
Research Area
Artificial Intelligence, Knowledge Tracing, Meta Learning
Supervised by
Assistant Professor
Department of Computer Science
New Mexico State University
Publications
AIED 2025 Indronil Bhattacharjee, Christabel Wayllace, "Cold Start Problem: An Experimental Study of Knowledge Tracing Models with New Students", Accepted at 26th International Conference on Artificial Intelligence in Education (AIED-2025), Palermo, Italy, 22-26 June 2025.
AIED 2025 Indronil Bhattacharjee, Christabel Wayllace, "Cold Start Problem: An Experimental Study of Knowledge Tracing Models with New Students", Accepted at 26th International Conference on Artificial Intelligence in Education (AIED-2025), Palermo, Italy, 22-26 June 2025.
LAK 2025 INDRONIL BHATTACHARJEE, "Memory vs. Attention: Understanding Their Roles in Deep Knowledge Tracing Architectures", 15th International Conference on Learning Analytics & Knowledge (LAK25), Poster Track, Dublin, Ireland, 3-7 March 2025.
LAK 2025 INDRONIL BHATTACHARJEE, "Memory vs. Attention: Understanding Their Roles in Deep Knowledge Tracing Architectures", 15th International Conference on Learning Analytics & Knowledge (LAK25), Poster Track, Dublin, Ireland, 3-7 March 2025.
Mitigating Cold Start Problem in Knowledge Tracing with Model-Agnostic Meta Learning Approach
Mitigating Cold Start Problem in Knowledge Tracing with Model-Agnostic Meta Learning Approach
(Fall 2024 - Ongoing)
Research Objective
This work designs a Model-Agnostic meta-learning based KT model (Meta-KT) to improve prediction accuracy when little or no prior student data is available. We evaluate its performance against classical KT models under cold-start conditions.
Enhancing Knowledge Tracing with Cognitive Data Beyond Correctness
Enhancing Knowledge Tracing with Cognitive Data Beyond Correctness
(Fall 2024 - Ongoing)
Research Objective
This work investigates how incorporating cognitive features—such as difficulty, forgetting, guess, and slip—alongside traditional question–answer records impacts KT performance. We evaluate whether these enriched datasets improve predictive accuracy and better capture student learning dynamics across multiple KT models.
From Dialogue to Mastery: Framing Conversational Training as a Knowledge Tracing Problem
From Dialogue to Mastery: Framing Conversational Training as a Knowledge Tracing Problem
(Fall 2024 - Ongoing)
Research Objective
This work explores whether conversational training scenarios can be represented within a KT framework. We map dialogues into skill attempts and evaluate how KT models track learner progression in interactive training settings.
CURRENT RESEARCH (1)
CURRENT RESEARCH (1)
Augmenting Flight Training with AI to Efficiently Train Pilots Using Reinforcement Learning
Augmenting Flight Training with AI to Efficiently Train Pilots Using Reinforcement Learning
(Fall 2023 - Paused for now)
Research Area
Artificial Intelligence, Reinforcement Learning, Behavior Cloning
Collaboration with
Illumia Labs
EdTeKLA Research Group, University of Alberta
IRL Lab, University of Alberta
Supervised by
Assistant Professor
Department of Computer Science
New Mexico State University
CURRENT RESEARCH (2)
CURRENT RESEARCH (2)
GLOSS: An LLM-Guided Tutoring System for
Social Skills Training
GLOSS: An LLM-Guided Tutoring System for
Social Skills Training
(Spring 2024 - Ongoing)
Research Area
Artificial Intelligence, Reinforcement Learning, Large Language Model
Collaboration with
Illumia Labs
EdTeKLA Research Group, University of Alberta
IRL Lab, University of Alberta
Supervised by
Assistant Professor
Department of Computer Science
New Mexico State University
Michael Guevarra, Indronil Bhattacharjee, Srijita Das, Christabel Wayllace, Carrie Demmans Epp, Matthew E. Taylor and Alan Tay, "An LLM-Guided Tutoring System for Social Skills Training", 39th Annual AAAI Conference on Artificial Intelligence, Demonstration Track, February 2025.
UNDERGRADUATE THESIS
UNDERGRADUATE THESIS
(Feb 2019 – Feb 2020)
Research Area
Machine Learning, Image Processing
Collaboration with
Tareq Mahmud
Supervised by
Associate Professor
Department of Computer Science and Engineering
Khulna University of Engineering & Technology (KUET)
Khulna, Bangladesh
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