Enhancing prediction of student success: Automated machine learning approach
Article Status
Published
Authors/contributors
- Zeineddine, Hassan (Author)
- Braendle, Udo (Author)
- Farah, Assaad (Author)
Title
Enhancing prediction of student success: Automated machine learning approach
Publication
Computers & Electrical Engineering
Volume
89
Pages
106903
Date
2021-1
Journal Abbr
Comput. Electr. Eng.
Language
en
ISSN
0045-7906
Short Title
Enhancing prediction of student success
Accessed
15/03/2023, 21:09
Library Catalogue
DOI.org (Crossref)
Extra
Citation Key: zeineddine2021
<标题>: 提升学生成功预测：自动化机器学习方法
<AI Smry>: This paper proposes the use of Automated Machine Learning to enhance the accuracy of predicting student performance using data available prior to the start of the academic program.
Citation
Zeineddine, H., Braendle, U., & Farah, A. (2021). Enhancing prediction of student success: Automated machine learning approach. Computers & Electrical Engineering, 89, 106903. https://doi.org/10.1016/j.compeleceng.2020.106903
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