Predicting Academic Performance in Mathematics Using Machine Learning Algorithms
Several factors, directly and indirectly, influence students’ performance in their various activities. Children and adolescents in the education process generate enormous data that could be analyzed to promote changes in current educational models. Therefore, this study proposes using machine learni...
Gespeichert in:
| 1. Verfasser: | Espinosa-Pinos, Carlos (author) |
|---|---|
| Weitere Verfasser: | Ayala-Chauvin, Manuel (author), Buele, Jorge (author) |
| Format: | article |
| Sprache: | eng |
| Veröffentlicht: |
2022
|
| Online Zugang: | https://link.springer.com/chapter/10.1007/978-3-031-19961-5_2 https://hdl.handle.net/20.500.14809/3974 |
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