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- Title
THE PERCEPTION OF E-LEARNING QUALITY IN HIGHER EDUCATION: SEM-ANN APPROACH.
- Authors
Ruso, Jelena; Rakić, Ana; Arsić, Sanela; Milošević, Isidora
- Abstract
The pandemic resulted in lockdown measures worldwide, which forced humanity to seek online alternatives to almost every human activity, including the education system. This research aims to develop a new integrated model to determine the predictors of the quality of E-learning during the pandemic disruption. This paper provides the development of the traditional approach based on Structural Equation Modelling (SEM) into the prediction method based on the Artificial Neural Network (ANN). This research was conducted on a sample comprising 1,254 students of the University of Belgrade. The results show that Authority initiative had the most important influence and significance in predicting the perception of the Quality of Elearning during the pandemic. At the same time, the Information Security predictor had the most negligible impact. The findings contribute to the raising the academic community and policy-makers awareness to the necessity of dealing with quality in Eeducation to a greater extent, especially in emergencies such as pandemics. The suggested combination of constructs that predict the Quality of E-learning has never been analysed in previous research by applying SEM-ANN methodology, which represents the additional contribution of this study.
- Subjects
UNIVERZITET u Beogradu; ARTIFICIAL neural networks; EDUCATIONAL quality; DIGITAL learning; INFORMATION technology security; HIGHER education
- Publication
TEME: Casopis za Društvene Nauke, 2024, Vol 48, Issue 1, p71
- ISSN
0353-7919
- Publication type
Article
- DOI
10.22190/TEME220929005R