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...

• Huvudupphovsman: Espinosa-Pinos, Carlos (author)
• Övriga upphovsmän: Ayala-Chauvin, Manuel (author), Buele, Jorge (author)
• Materialtyp: article
• Språk: eng
• Publicerad: 2022
• Länkar: https://link.springer.com/chapter/10.1007/978-3-031-19961-5_2; http://repositorio.uti.edu.ec//handle/123456789/3974