Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources

Article

Abstract: The aim of this study was to predict university students’ learning performance using different sourc

Palabras claves:

data fusion, Intelligent Tutoring Systems, multimodal learning, Multisource data, Pbkp_redicting academic performance

Autores:

Azevedo R., Cerezo R., Romero Morales C., Sanchez-Santillan M., Wilson Chango

Fuentes:

scopus