Optimizing learning outcomes: a deep dive into hybrid AI models for adaptive educational feedback
Abstract Accurate prediction of student performance is essential for the creation of adaptive learning frameworks and the best utilization of educational strategies. In this work, we apply ensemble learning and neural networks to investigate data from multiple sources about students, two real educat...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-06-01
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| Series: | Journal of Big Data |
| Online Access: | https://doi.org/10.1186/s40537-025-01187-6 |
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