Towards explainable knowledge tracing through meta-path-free heterogeneous graph learning with large language models
Knowledge tracing (KT) is fundamental to intelligent tutoring systems because it models student knowledge evolution and predicts future learning performance. However, existing approaches often struggle to simultaneously capture heterogeneous educational relationships, long-term temporal dependencies, and semantic infor...