GCN and GAT-based interpretable knowledge tracing model

GCN and GAT-based interpretable knowledge tracing model

Abstract Knowledge tracing (KT) aims to predict students’ future performance by assessing their level of knowledge mastery from past problem-solving records. However, many existing methods fail to take full advantage of the potential relationship between questions and skills, or fail to effectively...

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Bibliographic Details
Main Authors: Yujia Huo, Menghong He, Xue Tan, Kesha Chen
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Complex & Intelligent Systems
Subjects:
Graph Convolutional Networks
Attention mechanisms
Knowledge tracing
Interpretability
Online Access:https://doi.org/10.1007/s40747-025-01921-w
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https://doi.org/10.1007/s40747-025-01921-w

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