Learning Continuity during COVID-19: An Analysis of the Higher Education Sector of Bangladesh

Debarshi Mukherjee · Khandakar Kamrul Hasan

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Technology Adoption and User Behaviour Education during COVID-19 pandemic Educational Innovations and Technology

Abstract

Aim. This study aims to understand the factors determining university students’ behavioural intentions toward online learning in Bangladesh. Specifically, this study investigates the relationship between performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), and behavioural intention (BI). Moreover, this study explores the influence of pandemic fear (PF) as a moderator in the relationship between exogenous and endogenous factors. Methods. The study is cross-sectional and followed a quantitative research approach with purposive sampling. Data were collected at a single point using a sample size of 578 respondents who studied online during the various phases of lockdown at five public and five private universities in Bangladesh. Regarding multivariate analysis, the Partial Least Squares - Structural Equation Modeling (PLS-SEM) is applied in this study to test the causal relationships in the structural model, as it is considered a second-generation technique. Results. Statistically, a positive significance was found between PE, EE, SI, and BI in online learning participation. Whereas the FC and the BI exhibited a negative relationship, a positive relationship was found between PE, EE, and the SI on BI. In addition, a moderating role for PF was investigated, and EE and FC were found to influence BI significantly. Conclusion. This study presents an extended UTAUT model by integrating pandemic fear as the moderator to study students' behavioural intention to adopt an online learning system under a disruptive situation. Practitioners, especially academicians and policymakers, will find this model useful while developing andragogic interventions for the higher education sector in Bangladesh.

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2003User Acceptance of Information Technology: Toward A Unified View1 1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research 2018When to use and how to report the results of PLS-SEM 1985Social Foundations of Thought and Action : A Social Cognitive Theory 1985From Intentions to Actions: A Theory of Planned Behavior 1995Understanding Information Technology Usage: A Test of Competing Models 2020Online Learning: A Panacea in the Time of COVID-19 Crisis 2020The Fear of COVID-19 Scale: Development and Initial Validation

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