Understanding the COVID-19 Pandemic’s Impact on E-Learner Satisfaction at the Tertiary Level

Mohammed Rafiqul Islam, Rimon Sarker, Rebaka Sultana, Md. Faisal-E-Alam, Rui Alexandre Castanho () and Daniel Meyer
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Mohammed Rafiqul Islam: Department of Management, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh 2220, Bangladesh
Rimon Sarker: Department of Human Resource Management, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh 2220, Bangladesh
Rebaka Sultana: Department of Business Administration (Management), Bangladesh Army International University of Science and Technology (BAIUST), Cumilla Cantonment, Cumilla 3100, Bangladesh
Md. Faisal-E-Alam: Department of Management Studies, Begum Rokeya University, Rangpur 5404, Bangladesh
Rui Alexandre Castanho: Faculty of Applied Sciences, WSB University, 41-300 Dabrowa Górnicza, Poland
Daniel Meyer: College of Business and Economics, University of Johannesburg, P.O. Box 524, Auckland Park, Johannesburg 2006, South Africa

Sustainability, 2023, vol. 15, issue 8, 1-14

Abstract: E-learning has recently gained considerable interest among stakeholders, including educators, students, and policymakers. During the pandemic, organized online learning is critical to an effective e-learning system because it helps both teaching and learning. Thus, the current study intends to explore the factors contributing to e-learners’ satisfaction during the COVID-19 pandemic. A questionnaire survey was conducted to gather data from 650 university students selected through convenience sampling. The data were analyzed using the Statistical Package for the Social Sciences (SPSS). The factors essential to boosting e-learner satisfaction were identified using confirmatory factor analysis (CFA). Frequency distribution and percentages were used to identify the demographic characteristics of respondents, and a reliability test was conducted to test the internal consistency of the data. This study employed structural equation modeling (SEM) to trace the relationship between the six independent variables and e-learner satisfaction. Regression results revealed that psychological factors, educational materials and design, access to technological devices, instructor attributes, and perceptions and expectations significantly influence e-learner satisfaction. However, students’ engagement had no significant influence on the same. Because, most respondents had a clear preference for physical learning. The findings of this study will help educationists and policymakers take necessary steps in enhancing learners’ satisfaction and improving their academic performance.

Keywords: e-learning; COVID-19; student’s satisfaction; structural equation modeling (SEM) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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