Explanatory Factors of University Dropout Explored Through Artificial Intelligence

This paper identifies key research on the factors that help to explain university dropout and how these factors are being explored by means of artificial intelligence (AI). The study describes the methodology employed to select 31 papers from a repository of 2,745 reported in the literature. The ana...

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Detalles Bibliográficos
Autores: Parra-Sánchez, Juan Sebastián, Torres Pardo, Ingrid Durley, Martínez De Merino, Carmen Ysabel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:México
Institución:UNIVERSIDAD AUTÓNOMA DE BAJA CALIFORNIA
Repositorio:Revista Electrónica de Investigacion Educativa
Idioma:español
OAI Identifier:oai:ojs.redie.uabc.mx:article/4455
Acceso en línea:https://redie.uabc.mx/redie/article/view/4455
Access Level:acceso abierto
Palabra clave:deserción escolar
tasa de deserción escolar
estudiante universitario
inteligencia artificial
dropping out
dropout rate
college students
artificial intelligence
evasão escolar
taxa de evasão
estudante universitário
inteligência artificial
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network_acronym_str MX
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spelling Explanatory Factors of University Dropout Explored Through Artificial IntelligenceFactores explicativos de la deserción universitaria abordados mediante inteligencia artificial Fatores explicativos da evasão universitária abordados por meio da inteligência artificialParra-Sánchez, Juan SebastiánTorres Pardo, Ingrid DurleyMartínez De Merino, Carmen Ysabeldeserción escolartasa de deserción escolarestudiante universitariointeligencia artificialdropping outdropout ratecollege studentsartificial intelligenceevasão escolartaxa de evasão estudante universitáriointeligência artificialThis paper identifies key research on the factors that help to explain university dropout and how these factors are being explored by means of artificial intelligence (AI). The study describes the methodology employed to select 31 papers from a repository of 2,745 reported in the literature. The analysis centered on the main AI methods used and four categories of explanatory factors of university dropout: academic factors; factors associated with motivation and study habits; institutional factors; and economic and sociodemographic factors. The conclusion drawn from this literature review is that AI is most commonly used for decision tree-based classification, and most studies focus on predicting university dropout on the basis of explanatory factors.Este artículo identifica los principales estudios relacionados con los factores que contribuyen a explicar la deserción universitaria, y cómo estos son abordados desde el campo de la inteligencia artificial (IA). El estudio describe la metodología adoptada para seleccionar 31 documentos sobre un repositorio de 2745 reportados en la literatura. El análisis se realizó desde los principales métodos de IA adoptados, así como desde los factores explicativos de la deserción universitaria agrupados en cuatro categorías: académicos, relacionados con la motivación y hábitos de estudio, institucionales, y económicos y sociodemográficos. La revisión de la literatura permite concluir que la tarea más común desde la IA es la clasificación mediante árboles de decisión y que la mayoría de los trabajos predicen la deserción universitaria desde los factores que la explican.Este artigo identifica os principais estudos relacionados aos fatores que contribuem para explicar a evasão universitária e como eles são abordados a partir do campo da inteligência artificial (IA). O estudo descreve a metodologia adotada para selecionar 31 documentos de um repositório de 2745 relatados na literatura. A análise foi realizada a partir dos principais métodos de IA adotados, bem como dos fatores explicativos da evasão universitária agrupados em quatro categorias: acadêmica, relacionada com a motivação e hábitos de estudo, institucional, e econômica e sociodemográfica. A revisão da literatura permite concluir que a tarefa mais comum da IA é a classificação por meio de árvores de decisão e que a maioria dos trabalhos prevê a evasão universitária a partir dos fatores que a explicam.Universidad Autónoma de Baja California. Instituto de Investigación y Desarrollo Educativo2023-06-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdftext/xmlapplication/epub+zipaudio/mpeghttps://redie.uabc.mx/redie/article/view/445510.24320/redie.2023.25.e18.4455Revista Electrónica de Investigación Educativa; Vol. 25 (2023); 1-17Revista Electrónica de Investigación Educativa; Vol. 25 (2023); 1-171607-4041reponame:Revista Electrónica de Investigacion Educativainstname:UNIVERSIDAD AUTÓNOMA DE BAJA CALIFORNIAinstacron:UABCspahttps://redie.uabc.mx/redie/article/view/4455/2424https://redie.uabc.mx/redie/article/view/4455/2425https://redie.uabc.mx/redie/article/view/4455/2439https://redie.uabc.mx/redie/article/view/4455/2428https://redie.uabc.mx/redie/article/view/4455/2430Derechos de autor 2023 Juan Sebastián Parra-Sánchez; Ingrid Durley Torres Pardo; Carmen Ysabel Martínez De Merinohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessoai:ojs.redie.uabc.mx:article/44552024-08-22T16:53:00Z
dc.title.none.fl_str_mv Explanatory Factors of University Dropout Explored Through Artificial Intelligence
Factores explicativos de la deserción universitaria abordados mediante inteligencia artificial
Fatores explicativos da evasão universitária abordados por meio da inteligência artificial
title Explanatory Factors of University Dropout Explored Through Artificial Intelligence
spellingShingle Explanatory Factors of University Dropout Explored Through Artificial Intelligence
Parra-Sánchez, Juan Sebastián
deserción escolar
tasa de deserción escolar
estudiante universitario
inteligencia artificial
dropping out
dropout rate
college students
artificial intelligence
evasão escolar
taxa de evasão
estudante universitário
inteligência artificial
title_short Explanatory Factors of University Dropout Explored Through Artificial Intelligence
title_full Explanatory Factors of University Dropout Explored Through Artificial Intelligence
title_fullStr Explanatory Factors of University Dropout Explored Through Artificial Intelligence
title_full_unstemmed Explanatory Factors of University Dropout Explored Through Artificial Intelligence
title_sort Explanatory Factors of University Dropout Explored Through Artificial Intelligence
dc.creator.none.fl_str_mv Parra-Sánchez, Juan Sebastián
Torres Pardo, Ingrid Durley
Martínez De Merino, Carmen Ysabel
author Parra-Sánchez, Juan Sebastián
author_facet Parra-Sánchez, Juan Sebastián
Torres Pardo, Ingrid Durley
Martínez De Merino, Carmen Ysabel
author_role author
author2 Torres Pardo, Ingrid Durley
Martínez De Merino, Carmen Ysabel
author2_role author
author
dc.subject.none.fl_str_mv deserción escolar
tasa de deserción escolar
estudiante universitario
inteligencia artificial
dropping out
dropout rate
college students
artificial intelligence
evasão escolar
taxa de evasão
estudante universitário
inteligência artificial
topic deserción escolar
tasa de deserción escolar
estudiante universitario
inteligencia artificial
dropping out
dropout rate
college students
artificial intelligence
evasão escolar
taxa de evasão
estudante universitário
inteligência artificial
description This paper identifies key research on the factors that help to explain university dropout and how these factors are being explored by means of artificial intelligence (AI). The study describes the methodology employed to select 31 papers from a repository of 2,745 reported in the literature. The analysis centered on the main AI methods used and four categories of explanatory factors of university dropout: academic factors; factors associated with motivation and study habits; institutional factors; and economic and sociodemographic factors. The conclusion drawn from this literature review is that AI is most commonly used for decision tree-based classification, and most studies focus on predicting university dropout on the basis of explanatory factors.
publishDate 2023
dc.date.none.fl_str_mv 2023-06-29
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://redie.uabc.mx/redie/article/view/4455
10.24320/redie.2023.25.e18.4455
url https://redie.uabc.mx/redie/article/view/4455
identifier_str_mv 10.24320/redie.2023.25.e18.4455
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://redie.uabc.mx/redie/article/view/4455/2424
https://redie.uabc.mx/redie/article/view/4455/2425
https://redie.uabc.mx/redie/article/view/4455/2439
https://redie.uabc.mx/redie/article/view/4455/2428
https://redie.uabc.mx/redie/article/view/4455/2430
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
application/pdf
text/xml
application/epub+zip
audio/mpeg
dc.publisher.none.fl_str_mv Universidad Autónoma de Baja California. Instituto de Investigación y Desarrollo Educativo
publisher.none.fl_str_mv Universidad Autónoma de Baja California. Instituto de Investigación y Desarrollo Educativo
dc.source.none.fl_str_mv Revista Electrónica de Investigación Educativa; Vol. 25 (2023); 1-17
Revista Electrónica de Investigación Educativa; Vol. 25 (2023); 1-17
1607-4041
reponame:Revista Electrónica de Investigacion Educativa
instname:UNIVERSIDAD AUTÓNOMA DE BAJA CALIFORNIA
instacron:UABC
instname_str UNIVERSIDAD AUTÓNOMA DE BAJA CALIFORNIA
instacron_str UABC
institution UABC
reponame_str Revista Electrónica de Investigacion Educativa
collection Revista Electrónica de Investigacion Educativa
repository.name.fl_str_mv
repository.mail.fl_str_mv
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