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Found 2 papers, 1 papers with code
Knowledge Graph Enhanced Intelligent Tutoring System Based on Exercise Representativeness and Informativeness
These components encompass the informativeness component, exercise representation component, knowledge importance component, and exercise representativeness component.
Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge Tracing
In this work, a novel knowledge tracing model, named Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge Tracing(NGFKT), is proposed to reduce the impact of the subjective labeling by calibrating the skill relation matrix and the Q-matrix and apply the Graph Convolutional Network(GCN) to model the heterogeneous interactions between students, exercises, and skills.
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