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

Wilson Chango; Rebeca Cerezo; Miguel Sanchez-Santillan; Roger Azevedo; Cristóbal Romero

doi:10.1007/s12528-021-09298-8

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

Wilson Chango
, Rebeca Cerezo^*
, Miguel Sanchez-Santillan
, Roger Azevedo
, Cristóbal Romero

^*Autor correspondiente de este trabajo

Facultad de Hábitat, Infraestructura y Creatividad

Producción científica: Revista › Artículo › revisión exhaustiva

34 Citas (Scopus)

Idioma original	Inglés
Páginas (desde-hasta)	614-634
Número de páginas	21
Publicación	Journal of Computing in Higher Education
Volumen	33
N.º	3
DOI	https://doi.org/10.1007/s12528-021-09298-8
Estado	Publicada - 28 oct. 2021

Nota bibliográfica

Publisher Copyright:
© 2021, The Author(s).

Financiación

Financiadores	Número del financiador
Ministerio de Ciencia e Innovación	PID2020-115832GB-I00, PID2019-107201GB-I009

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 4: Educación de calidad

Acceder al documento

10.1007/s12528-021-09298-8

Otros archivos y enlaces

https://link.springer.com/article/10.1007%2Fs12528-021-09298-8

Citar esto

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Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources. / Chango, Wilson; Cerezo, Rebeca; Sanchez-Santillan, Miguel et al.
En: Journal of Computing in Higher Education, Vol. 33, N.º 3, 28.10.2021, p. 614-634.

Producción científica: Revista › Artículo › revisión exhaustiva

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T1 - Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources

AU - Chango, Wilson

AU - Cerezo, Rebeca

AU - Sanchez-Santillan, Miguel

AU - Azevedo, Roger

AU - Romero, Cristóbal

PY - 2021/10/28

Y1 - 2021/10/28

KW - Data fusion

KW - Intelligent tutoring systems

KW - Multimodal learning

KW - Multisource data

KW - Predicting academic performance

UR - https://link.springer.com/article/10.1007%2Fs12528-021-09298-8

U2 - 10.1007/s12528-021-09298-8

DO - 10.1007/s12528-021-09298-8

M3 - Article

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SP - 614

EP - 634

JO - Journal of Computing in Higher Education

JF - Journal of Computing in Higher Education

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