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

Antonio Cervero, Adrián Castro-Lopez, Lucía Álvarez-Blanco, María Esteban and Ana Bernardo

PLOS ONE, 2020, vol. 15, issue 5, 1-16

Abstract: 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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0232802

DOI: 10.1371/journal.pone.0232802

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