Prediction of In-Class Performance Based on MFO-ATTENTION-LSTM
Abstract In this paper, we present a novel approach to predicting in-class performance using log data from course learning, which is important in the field of personalized education and classroom management. Specifically, a set of fine-grained features is extracted from unit learning log data to tra...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Springer
2024-01-01
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| Edice: | International Journal of Computational Intelligence Systems |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/s44196-023-00395-3 |
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