Open access
Aug 2026
Unveiling the Impact of Hierarchical Knowledge Dependencies on Knowledge Tracing: A Spatial Structure Perspective
This study investigates how multilevel spatial relationships among KCs affect the performance of KT models and infer causal links among KCs and incorporate the resulting spatial structures into both deep learning and traditional machine learning KT models.
Yuang Wei, Rui Jia, Yingwen Ding et al.
· Frontiers of Digital Educati... · 0 citations