EEG-Based Tool for Prediction of University Students’ Cognitive Performance in the Classroom

EEG-Based Tool for Prediction of University Students’ Cognitive Performance in the Classroom

This study presents a neuroengineering-based machine learning tool developed to predict students’ performance under different learning modalities. Neuroengineering tools are used to predict the learning performance obtained through two different modalities: text and video. Electroencephalographic si...

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Bibliographic Details
Main Authors: Mauricio A. Ramírez-Moreno, Mariana Díaz-Padilla, Karla D. Valenzuela-Gómez, Adriana Vargas-Martínez, Juan C. Tudón-Martínez, Rubén Morales-Menendez, Ricardo A. Ramírez-Mendoza, Blas L. Pérez-Henríquez, Jorge de J. Lozoya-Santos
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Brain Sciences
Subjects:
EEG
cognitive performance
education
neuroengineering
machine learning
Online Access:https://www.mdpi.com/2076-3425/11/6/698

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https://www.mdpi.com/2076-3425/11/6/698

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