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Evaluation of educational quality performance on virtual campuses using fuzzy inference systems
Antonio Cervero1, Adrián Castro-Lopez2, Lucía Álvarez-Blanco3
1Department of Psychology, University of Oviedo, Oviedo, Spain.
Plos One
|May 30, 2020
Summary
Student satisfaction with virtual campuses hinges on timely teacher responses, positive tech attitudes, digital skills, and engaging activities. These factors are key to a quality online learning experience.
Area of Science:
- Educational Technology
- Higher Education Pedagogy
- Online Learning Environments
Background:
- The increasing adoption of virtual campuses in universities necessitates an understanding of factors influencing student satisfaction.
- Quality in online education is paramount for student engagement and academic success.
Purpose of the Study:
- To analyze student satisfaction with virtual campuses in university teaching.
- To identify key variables that enhance the quality of the online teaching-learning process.
Main Methods:
- Ex-post-facto research methodology involving 1084 university students.
- Administration of an ad hoc questionnaire.
- Descriptive analysis, classification trees, and fuzzy inference systems using SPSS and Matlab.
Main Results:
- Four variables significantly influence the quality of virtual campus teaching-learning processes.
- Key factors include satisfactory teacher responses, positive teacher attitudes towards technology, student digital skills, and interactive learning activities.
Conclusions:
- Optimizing virtual campus quality requires focusing on teacher responsiveness and technological integration.
- Developing student digital competencies and fostering interactive learning are crucial for effective online education.
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