4 citations · 4 across the 4 of their papers we have counts for
4 papers
FoundationalASSIST: An Educational Dataset for Foundational Knowledge Tracing and Pedagogical Grounding of LLMs
Eamon Worden, Cristina Heffernan, Neil Heffernan +1
Can Large Language Models understand how students learn? As LLMs are deployed for adaptive testing and personalized tutoring, this question becomes urgent -- yet we cannot answer i…
Investigating the Robustness of Knowledge Tracing Models in the Presence of Student Concept Drift
Morgan Lee, Artem Frenk, Eamon Worden +4
Knowledge Tracing (KT) has been an established problem in the educational data mining field for decades, and it is commonly assumed that the underlying learning process being model…
The Karp Dataset
Mason DiCicco, Eamon Worden, Conner Olsen +3
Understanding the mathematical reasoning capabilities of Large Language Models (LLMs) is a central topic in the study of artificial intelligence. This new domain necessitates the c…
Automated Feedback in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses
Sami Baral, Eamon Worden, Wen-Chiang Lim +4
The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research has explored methodologies to enhance t…