CLEKI-CD represents student mastery and exercise difficulty as multidimensional vectors and generates a latent Q-matrix via attention-based knowledge aggregation, improving cognitive diagnosis predictions.
Design and evaluation of trustworthy knowl- edge tracing model for intelligent tutoring system
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Concept-Aware Latent and Explicit Knowledge Integration for Enhanced Cognitive Diagnosis
CLEKI-CD represents student mastery and exercise difficulty as multidimensional vectors and generates a latent Q-matrix via attention-based knowledge aggregation, improving cognitive diagnosis predictions.