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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Bibliographic Details
Main Author: Espinosa-Pinos, Carlos (author)
Other Authors: Ayala-Chauvin, Manuel (author), Buele, Jorge (author)
Format: article
Language:eng
Published: 2022
Online Access:https://link.springer.com/chapter/10.1007/978-3-031-19961-5_2
http://repositorio.uti.edu.ec//handle/123456789/3974
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