MGKT: A Multi-Relation Enhanced Graph-Based Model for Knowledge Tracing-Reference-Cited by-同舟云学术

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MGKT: A Multi-Relation Enhanced Graph-Based Model for Knowledge Tracing

Published:2024-06-30 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Long Yingchao¹,Yu Weihao²,Huang Jin³,Zhang Tinghua⁴,Lai Nanhui¹

Affiliation:

1. South China Normal University,School of Artificial Intelligence,Foshan,China

2. China Telecom Corporate Ltd.,Research Institute of China Telecom Corporate Ltd.,Guangzhou,China

3. South China Normal University,School of Computer Science,Guangzhou,China

4. China Electronic Product Reliability and Environmental Testing Research Institute,Guangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10649935.pdf?arnumber=10649935

Reference35 articles.

1. Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach

2. Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems

3. Behavior-driven Student Performance Prediction with Tri-branch Convolutional Neural Network

4. Knowledge Tracing: A Survey

5. Knowledge tracing: Modeling the acquisition of procedural knowledge

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