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Evaluation of an Academic Satisfaction Model in E-Learning Education Contexts

Authors :
Zalazar-Jaime, Mauricio Federico
Moretti, Luciana Sofía
García-Batista, Zoilo Emilio
Medrano, Leonardo Adrián
Source :
Interactive Learning Environments. 2023 31(7):4687-4697.
Publication Year :
2023

Abstract

The urgent imperative to "move online," caused by the recent COVID-19 pandemic, has led to an in-depth study of the psychological factors involved in designing successful online learning experiences. The social-cognitive model of academic satisfaction has been widely researched in conventional educational contexts in different countries. The purpose of this research was to evaluate the adequacy of this model in e-learning education contexts. The method used was path analysis, including as independent variables: social support, informational support, self-efficacy, outcome expectations and progress in goals. The results indicated that the model adjusted satisfactorily, explaining 45% of the variance in academic satisfaction. As a specific finding of this study, in an e-learning context, it can be mentioned that a greater contribution of socio-emotional support was demonstrated with respect to informational support. On the other hand, a weak contribution of outcome expectations on academic satisfaction was verified, aspect that requires furthers research and the development of specific measures for e-learning education context. In summary, the results of this research together provide preliminary evidence favorable to the social-cognitive model of academic satisfaction in virtual environments of university education.

Details

Language :
English
ISSN :
1049-4820 and 1744-5191
Volume :
31
Issue :
7
Database :
ERIC
Journal :
Interactive Learning Environments
Publication Type :
Academic Journal
Accession number :
EJ1398964
Document Type :
Journal Articles<br />Reports - Research
Full Text :
https://doi.org/10.1080/10494820.2021.1979047