Artificial intelligence for determining learning strategies in university students

Artificial intelligence for determining learning strategies in university students

BackgroundUniversity students employ various learning strategies that influence their academic success and retention in the educational system. However, those who fail to use these strategies effectively may be at risk of dropping out. In this context, the objective of this study was to determine th...

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Bibliographic Details
Main Authors: Ángel Ramón Sabando-García, Cynthia Michel Olguín-Martínez, Raul Marcelo Benavides-Lara, Teresa Irina Salazar-Echeagaray, Eduardo Alfonso Huerta-Mora, Bibian Bibeca Bumbila-García, Lizandro Agustín Cedeño-Barcia, Jenniffer Sobeida Moreira-Choez
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Education
Subjects:
factor analysis
university student
education evaluation
artificial intelligence
learning method
Online Access:https://www.frontiersin.org/articles/10.3389/feduc.2025.1611189/full
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