Hybrid Deep Learning Models for Predicting Student Academic Performance
Educational data mining (EDM) is instrumental in the early detection of students at risk of academic underperformance, enabling timely and targeted interventions. Given that many undergraduate students face challenges leading to high failure and dropout rates, utilizing EDM to analyze student data b...
| Published in: | Mathematical and Computational Applications |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2297-8747/30/3/59 |