AINeutralarXiv – CS AI · May 126/10
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Explainable Knowledge Tracing via Probabilistic Embeddings and Pattern-based Reasoning
Researchers introduce Probabilistic Logical Knowledge Tracing (PLKT), an interpretable AI framework that uses Beta-distributed probabilistic embeddings to model student knowledge states and predict learning performance. Unlike conventional deep learning approaches that rely on opaque deterministic embeddings, PLKT constructs transparent reasoning paths showing how past interactions influence predictions while maintaining superior accuracy compared to existing methods.