Affiliations 

  • 1 Computer Department, Community College, Imam Abdulrahman Bin Faisal University, P.O. Box. 1982, Dammam, Saudi Arabia
  • 2 Centre of Software Technology and Management, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
  • 3 Centre for Global Sustainability Studies (CGSS), Universiti Sains Malaysia, 11800, George Town, Malaysia
  • 4 School of Computer Engineering, Iran University of Science and Technology, Iran
  • 5 College of Computer and Information Sciences, Prince Sultan University, Saudi Arabia
  • 6 Department of Business Administration, College of Business and Administration, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
  • 7 Centre for Global Sustainability Studies & School of Social Sciences, Universiti Sains Malaysia, Malaysia
  • 8 Azman Hashim International Business School, Universiti Teknologi Malaysia (UTM), Skudai, Johor, 81310, Malaysia
Technol Soc, 2021 Nov;67:101728.
PMID: 34538984 DOI: 10.1016/j.techsoc.2021.101728

Abstract

To avoid the spread of the COVID-19 crisis, many countries worldwide have temporarily shut down their academic organizations. National and international closures affect over 91% of the education community of the world. E-learning is the only effective manner for educational institutions to coordinate the learning process during the global lockdown and quarantine period. Many educational institutions have instructed their students through remote learning technologies to face the effect of local closures and promote the continuity of the education process. This study examines the expected benefits of e-learning during the COVID-19 pandemic by providing a new model to investigate this issue using a survey collected from the students at Imam Abdulrahman Bin Faisal University. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed on 179 useable responses. This study applied Push-Pull-Mooring theory and examined how push, pull, and mooring variables impact learners to switch to virtual and remote educational laboratories. The Protection Motivation theory was employed to explain how the potential health risk and environmental threat can influence the expected benefits from e-learning services. The findings revealed that the push factor (environmental threat) is significantly related to perceived benefits. The pull factors (e-learning motivation, perceived information sharing, and social distancing) significantly impact learners' benefits. The mooring factor, namely perceived security, significantly impacts learners' benefits.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.