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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
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
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!