Predicting student retention: A comparative study of machine learning approach utilizing sociodemographic and academic factors
Student dropout remains a persistent challenge in higher education, particularly in developing regions where institutional resources for intervention are limited. This study explores the predictive potential of machine learning (ML) algorithms in identifying students at risk of dropping out using hi...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Systems and Soft Computing |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S277294192500170X |
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