Long-term student performance prediction using learning ability self-adaptive algorithm
Abstract Predicting student performance is crucial for both preventing failure and enabling personalized teaching-and-learning strategies. The digitalization of educational institutions has led to the collection of extensive student learning data over the years. Current research primarily focuses on...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-06-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-024-01476-2 |