Moderating effect of COVID-19 on e-learning predictors: an empirical study on student's perspective in Sindh, Pakistan

Keerio, Imran Khan and Shah, Asadullah and Luhana, Krishan Kumar and Muhamad Ibrahim, Najhan and Mohd Mohadis, Hazwani (2023) Moderating effect of COVID-19 on e-learning predictors: an empirical study on student's perspective in Sindh, Pakistan. International Journal of Membrane Science and Technology, 10 (4). pp. 536-549. E-ISSN 2410-1869

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Abstract

During the COVID-19 pandemic, e-learning has been crucial for maintaining educational continuity while adhering to safety protocols and using social distancing guidelines. The worldwide spread of the pandemic has significantly disrupted traditional face-to-face educational practices, compelling the rapid and extensive adoption of electronic learning alternatives. As a result, it is crucial to understand the key factors influencing e-learning adoption in developing countries such as Pakistan during COVID-19. This research aims to analyze the moderating role of COVID19 on key e-learning predictors using the UTAUT model by including some external Constructs. This study employed a qualitative survey-based methodology, with a sample size of 460 responses from students who engaged in e-learning during the period of the COVID-19 pandemic. The PLS-SEM technique was employed for data analysis utilizing the SmartPls4 version 4.0.9.2 program. A Model was formed based on the UTAUT model by including some external variables. Empirical results revealed that during COVID-19 the most important factors predicting student behavior intention for e-learning adoption were, Computer anxiety, System characteristics, Facilitating conditions, Social influence, and COVID-19 itself. Furthermore, results also demonstrate that there was a sizable amount of COVID-19 moderating effect (0.022) on the association between social Influence and Behavior intention which somehow weakened the adoption of e-learning during COVID-19 time. The R-square value of the model is (0.677), which indicates that the model possesses substantial explanatory power, and the Q-square value is (0.662) indicating the establishment of Model predictive relevance.

Item Type:	Article (Journal)
Uncontrolled Keywords:	E-Learning, Moderating Effect, COVID-19, Sindh-Pakistan.
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof Asadullah Shah
Date Deposited:	03 Oct 2023 14:57
Last Modified:	20 May 2024 16:44
URI:	http://irep.iium.edu.my/id/eprint/107228

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