Modelling Students’ Adoption of E-Learning During the COVID-19 Pandemic

Maral Jamalova · Csaba Bálint

17 citations0/0 files storedInternational Journal of Emerging Technologies in Learning (iJET)

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

Abstract

This research examines the impact of gender and age differences on the attitude towards online education in universities and colleges during the COVID-19 pandemic in Hungary. The answers were evaluated using Partial Least Squares estimation technique by involving age and gender as moderator variables. The research model is based on a modified version of the Technology Acceptance Model (TAM) proposed by Davis, Warshaw, and Bagozzi (1989) and expanded by a good teaching scale. Apart from perceived ease of use, other variables illustrated significant direct relationships. Moderating effect of age and gender of the surveyed Hungarian students influence formulation of attitude towards e-learning. The results illustrate that the gender and age of the respondents influence the perceived usefulness → behavioral intention pathway. Also, the age of respondents has an impact on the relationship between perceived ease of use and perceived usefulness.

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References

2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2003User Acceptance of Information Technology: Toward A Unified View1 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 2015A primer on partial least squares structural equation modeling (PLS-SEM)2012Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1 1998The partial least squares approach for structural equation modeling.

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