Jiaxian Zhu

CausalSTKT: Disentangled Spatiotemporal Heterogeneous Graph Learning for Robust Knowledge Tracing Under Distribution Shifts

CausalSTKT is proposed, an SCM-guided knowledge tracing framework that integrates spatiotemporal modeling over a global item–knowledge-component bipartite graph with disentangled representation learning and derives an out-of-distribution risk bound showing that a smaller representation-entanglement residual leads to a...