Examining the potential of machine learning for predicting academic achievement: A systematic review
Predicting student academic performance is a critical area of education research. Machine learning (ML) algorithms have gained significant popularity in recent years. The capability to forecast student performance empowers universities to devise an intervention strategy either at the beginning of a...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Scientific Publishing Group (ASPG)
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/38938/1/Examining%20the%20potential%20of%20machine%20learning%20for%20predicting%20academic%20achievement_FULL.pdf http://umpir.ump.edu.my/id/eprint/38938/ https://doi.org/10.54216/FPA.130207 https://doi.org/10.54216/FPA.130207 |
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