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...

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Bibliografiset tiedot
Päätekijä: Espinosa-Pinos, Carlos (author)
Muut tekijät: Ayala-Chauvin, Manuel (author), Buele, Jorge (author)
Aineistotyyppi: article
Kieli:eng
Julkaistu: 2022
Linkit: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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