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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書誌詳細
第一著者: Espinosa-Pinos, Carlos (author)
その他の著者: Ayala-Chauvin, Manuel (author), Buele, Jorge (author)
フォーマット: article
言語:eng
出版事項: 2022
オンライン・アクセス: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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