3 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.CY2026
Let Me Try Again: Examining Replay Behavior by Tracing Students' Latent Problem-Solving Pathways
Shan Zhang, Siddhartha Pradhan, Ji-Eun Lee +2
Prior research has shown that students' problem-solving pathways in game-based learning environments reflect their conceptual understanding, procedural knowledge, and flexibility.…
cs.LG2025
Teach Me to Trick: Exploring Adversarial Transferability via Knowledge Distillation
Siddhartha Pradhan, Shikshya Shiwakoti, Neha Bathuri
We investigate whether knowledge distillation (KD) from multiple heterogeneous teacher models can enhance the generation of transferable adversarial examples. A lightweight student…