Student’s performance prediction based on an improved multi-view hypergraph neural network
Author:
Affiliation:
1. School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, PR China
Funder
Zhejiang Province Philosophy and Social Science Planning
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2024.2328234
Reference35 articles.
1. A Systematic Literature Review of Student’ Performance Prediction Using Machine Learning Techniques
2. Arya, D., & Worring, M. (2018). Exploiting relational information in social networks using geometric deep learning on hypergraphs. Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, Yokohama, Japan.
3. Educational Big Data: Predictions, Applications and Challenges
4. Learning with hypergraphs: Clustering, classification, and embedding;Bernhard S.;Advances in Neural Information Processing Systems,2006
5. Learning Management System (LMS) Use with Online Instruction
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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