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.
Read_Status: New
Read_Status_Date: 2025-11-10T07:26:31.803Z
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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