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IJIET 2022 Vol.12(6): 492-499 ISSN: 2010-3689
doi: 10.18178/ijiet.2022.12.6.1646

Evaluation of e-Learning System during the Covid-19 Pandemic in Morocco: A Partial Least Squares Modeling Approach

Abdelaziz Ouajdouni, Khalid Chafik, and Omar Boubker

Abstract—E-learning was a major study area during COVID-19 pandemic. Practically, public and private higher education institutions worldwide have switched from traditional face-to-face teaching to online learning solutions in order to deal with the spread of the coronavirus. Hence, the purpose of this study is to evaluate the effectiveness of the e-learning solution during COVID‐19 crisis. The research data were gathered using a self-administered online survey from Moroccan public university students. Through using the structural equation modeling under the partial least squares (PLS-SEM), the findings reveal that instructor quality has a direct and significant influence on system use and learner satisfaction. Likewise, user satisfaction is positively associated with system quality. Moreover, the e-learning system success is driven by both system use and learner satisfaction. These results are useful for Moroccan University policymakers in order to develop best practices to ensure a successful e-learning implementation.

Index Terms—E-learning system, COVID-19 pandemic, higher education, Morocco.

Abdelaziz Ouajdouni and Khalid Chafik are with National School of Business and Management of Tangier, Abdelmalek Essaadi University, Morocco (e-mail: ouajdouni.abdelaziz@gmail.com, khchafik@yahoo.fr).
Omar Boubker is with Higher School of Technology, Ibn Zohr University, Agadir, Morocco (e-mail: o.boubker@uiz.ac.ma).

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Cite: Abdelaziz Ouajdouni, Khalid Chafik, and Omar Boubker, "Evaluation of e-Learning System during the Covid-19 Pandemic in Morocco: A Partial Least Squares Modeling Approach," International Journal of Information and Education Technology vol. 12, no. 6, pp. 492-499, 2022.

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2021: 1.3), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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