Evaluation of an academic satisfaction model in E-learning education contexts
Date
2023Author
Zalazar Jaime, Mauricio Federico
Moretti, Luciana Sofía
García Batista, Zoilo Emilio
Medrano, Leonardo Adrián
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.
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