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Social Isolation and Acceptance of the Learning Management System (LMS) in the time of COVID-19 Pandemic: An Expansion of the UTAUT Model
Author(s) -
Raza Syed A.,
Qazi Wasim,
Khan Komal Akram,
Salam Javeria
Publication year - 2021
Publication title -
journal of educational computing research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.05
H-Index - 60
eISSN - 1541-4140
pISSN - 0735-6331
DOI - 10.1177/0735633120960421
Subject(s) - expectancy theory , unified theory of acceptance and use of technology , learning management , moderation , psychology , structural equation modeling , social isolation , social influence , pandemic , social psychology , isolation (microbiology) , applied psychology , covid-19 , mathematics education , computer science , psychotherapist , medicine , disease , pathology , machine learning , infectious disease (medical specialty) , microbiology and biotechnology , biology
The COVID-19 Pandemic has led to social isolation; however, with the help of technology, education can continue through this tough time. Therefore, this research attempts to explore the Unified Theory of Acceptance and Use of Technology (UTAUT) through the expansion of the model. Also, make it relevant to investigate the influence of social isolation, and the moderating role of Corona fear on Behavioral Intention of the Learning Management System and its Use Behavior of Learning Management System among students. The data was analyzed using Partial Least Square (PLS) and Structural Equation Modelling (SEM). The findings show a positive link of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Social Isolation on Behavioral Intention of LMS and, also between Behavioral Intention of LMS and its Use behavior. Moreover, the results of the moderation analysis show that Corona fears only moderates the link of Performance Expectancy and Social influence with Behavioral Intention of LMS. The findings imply the need for improving the LMS experience to increase its Behavioral Intention among students. Finally, the author's recommendation for future researchers is to examine the extended model in other countries and territories to analyze Coronavirus's influence on e-learning acceptance.

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