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.
Addressing two problems in deep knowledge tracing via prediction-consistent regularization
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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.