Estudio sobre estilos de aprendizaje mediante minería de datos como apoyo a la gestión académica en instituciones educativas

Translated title of the contribution: Study on learning styles by data mining as support for academic management in educational institutions

Ana Isabel Oviedo Carrascal, Gabriel Almendrales Jiménez

Research output: Contribution to journalArticle in an indexed scientific journalpeer-review

7 Scopus citations

Abstract

Learning styles are the strategies used by a student to acquire knowledge, their analysis allows educational institutions to improve learning environments, which commonly depend on biological, psychological, environmental, school and community conditions. This paper presents a study on learning styles applying data mining techniques to the information derived from the application of two tests called VARK and CHAEA to the students of the Educational Institution “Joaquín Cárdenas Gómez” of the Municipality of San Carlos - Antioquia (Colombia). This work formulates a plan of support for the Management Directive with the list of factors that influence learning. The findings indicate that learning styles alone do not influence school failure, require the combination of other elements such as age and have more than one learning style.

Translated title of the contributionStudy on learning styles by data mining as support for academic management in educational institutions
Original languageSpanish
Pages (from-to)1-13
Number of pages13
JournalRISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Issue number29
DOIs
StatePublished - 1 Oct 2018

Bibliographical note

Publisher Copyright:
© 2018, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

Types Minciencias

  • Artículos de investigación con calidad Q3

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