Cluster-enhanced behavioral knowledge tracing for interpretable knowledge evolution
Knowledge tracing aims to infer students’ latent knowledge states from historical interaction sequences and serves as a fundamental technique for personalized learning and intelligent assessment. However, existing methods predominantly rely on sequence-level modeling and fail to adequately capture the complex interplay...