2 papers
cs.HC2026
StanBKT: Rethinking Parameter Estimation in Bayesian Knowledge Tracing
Siddhartha Pradhan, Yanping Pei, Morgan Lee +3
Bayesian Knowledge Tracing (BKT) is a widely used and interpretable student modeling approach in intelligent tutoring systems and educational data mining. However, most implementat…
cs.LG2025
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…