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Evaluation of educational quality performance on virtual campuses using fuzzy inference systems

The general objective of this study is to analyze student satisfaction with the use of virtual campuses in university teaching in order to discover the main variables influencing the overall online teaching-learning process that give quality to the virtual educational process. To this end, an ex-pos...

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Detalles Bibliográficos
Autores principales: Cervero, Antonio, Castro-Lopez, Adrián, Álvarez-Blanco, Lucía, Esteban, María, Bernardo, Ana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259654/
https://www.ncbi.nlm.nih.gov/pubmed/32469875
http://dx.doi.org/10.1371/journal.pone.0232802
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author Cervero, Antonio
Castro-Lopez, Adrián
Álvarez-Blanco, Lucía
Esteban, María
Bernardo, Ana
author_facet Cervero, Antonio
Castro-Lopez, Adrián
Álvarez-Blanco, Lucía
Esteban, María
Bernardo, Ana
author_sort Cervero, Antonio
collection PubMed
description The general objective of this study is to analyze student satisfaction with the use of virtual campuses in university teaching in order to discover the main variables influencing the overall online teaching-learning process that give quality to the virtual educational process. To this end, an ex-post-facto research methodology was applied to 1084 university students, who completed an ad hoc designed questionnaire, which allowed us to carry out descriptive analysis, classification trees and fuzzy inference systems using SPSS and Matlab software. The results suggest that four variables predominantly influence the quality of the teaching-learning processes in virtual campuses: satisfactory teacher responses to student questions and observations, the positive attitude of teachers towards the use of information and communication technologies, students having appropriate digital skills, and activities that encourage ideas and debate.
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spelling pubmed-72596542020-06-08 Evaluation of educational quality performance on virtual campuses using fuzzy inference systems Cervero, Antonio Castro-Lopez, Adrián Álvarez-Blanco, Lucía Esteban, María Bernardo, Ana PLoS One Research Article The general objective of this study is to analyze student satisfaction with the use of virtual campuses in university teaching in order to discover the main variables influencing the overall online teaching-learning process that give quality to the virtual educational process. To this end, an ex-post-facto research methodology was applied to 1084 university students, who completed an ad hoc designed questionnaire, which allowed us to carry out descriptive analysis, classification trees and fuzzy inference systems using SPSS and Matlab software. The results suggest that four variables predominantly influence the quality of the teaching-learning processes in virtual campuses: satisfactory teacher responses to student questions and observations, the positive attitude of teachers towards the use of information and communication technologies, students having appropriate digital skills, and activities that encourage ideas and debate. Public Library of Science 2020-05-29 /pmc/articles/PMC7259654/ /pubmed/32469875 http://dx.doi.org/10.1371/journal.pone.0232802 Text en © 2020 Cervero et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Cervero, Antonio
Castro-Lopez, Adrián
Álvarez-Blanco, Lucía
Esteban, María
Bernardo, Ana
Evaluation of educational quality performance on virtual campuses using fuzzy inference systems
title Evaluation of educational quality performance on virtual campuses using fuzzy inference systems
title_full Evaluation of educational quality performance on virtual campuses using fuzzy inference systems
title_fullStr Evaluation of educational quality performance on virtual campuses using fuzzy inference systems
title_full_unstemmed Evaluation of educational quality performance on virtual campuses using fuzzy inference systems
title_short Evaluation of educational quality performance on virtual campuses using fuzzy inference systems
title_sort evaluation of educational quality performance on virtual campuses using fuzzy inference systems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259654/
https://www.ncbi.nlm.nih.gov/pubmed/32469875
http://dx.doi.org/10.1371/journal.pone.0232802
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