PLKT models student knowledge with Beta probabilistic embeddings and performs explicit logical reasoning over historical interactions to deliver both accurate predictions and interpretable explanations in knowledge tracing.
Beta embeddings for multi-hop logical reasoning in knowledge graphs.Advances in Neural Information Pro- cessing Systems, 33:19716–19726
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Explainable Knowledge Tracing via Probabilistic Embeddings and Pattern-based Reasoning
PLKT models student knowledge with Beta probabilistic embeddings and performs explicit logical reasoning over historical interactions to deliver both accurate predictions and interpretable explanations in knowledge tracing.