SLIM-KT: Transferring Large Language Model Item Semantics into a Lightweight, Cold-Start-Robust Knowledge Tracing Model
Knowledge tracing (KT) estimates a learner’s evolving mastery and underpins adaptive learning and intelligent tutoring systems. Deep KT models are fast, but they encode each question by an identity (ID) and therefore degrade sharply on newly authored questions with little response history (the cold-start problem). Larg...