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View all- Xu JHu W(2024)An Enhanced Deep Knowledge Tracing Model via Multiband Attention and Quantized Question EmbeddingApplied Sciences10.3390/app1408342514:8(3425)Online publication date: 18-Apr-2024
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In this paper, we propose a novel Transformer-based model for knowledge tracing, SAINT: Separated Self-AttentIve Neural Knowledge Tracing. SAINT has an encoder-decoder structure where the exercise and response embedding sequences separately enter, ...
Knowledge Tracing (KT) is to trace the knowledge of students as they solve a sequence of problems represented by their related skills. This involves abstract concepts of students' states of knowledge and the interactions between those states and skills. ...
Knowledge tracing is a critical component of an intelligent tutoring system. It can track students’ knowledge states and skill mastery in order to provide a more helpful learning environment for them (for example, personalized exercise ...
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