Explainable Knowledge Tracing via Probabilistic Embeddings and Pattern-based Reasoning

ArXi:2605.09369v1 Announce Type: new Knowledge Tracing (KT) models students' knowledge states based on learning interactions to predict performance. While deep learning-based KT models have boosted predictive accuracy, most models rely on deterministic vector embeddings and opaque latent state transitions, limiting interpretability regarding how specific past behaviors influence predictions.