Jin Han

AMDKT: An Interpretable Dual-Stream Transformer for Knowledge Tracing via Student Proficiency–Item Competency Matching (SPIM)

Knowledge tracing (KT) is a core technology in intelligent tutoring systems that predicts students’ future responses by analyzing their historical interaction sequences. Although existing deep learning-based KT models achieve high predictive accuracy, their “black-box” nature severely hinders practical deployment in ed...