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Impact of technology self-efficacy on online learning effectiveness during the COVID-19 pandemic

Muhammad Khalilur Rahman (Faculty of Entrepreneurship and Business, Universiti Malaysia Kelantan, Pengkalan Chepa, Malaysia) (Angkasa-Umk Research Academy (AURA), Universiti Malaysia Kelantan, Pengkalan Chepa, Malaysia)
Miraj Ahmed Bhuiyan (School of Economics, Guangdong University of Finance and Economics, Guangzhou, China)
Mohammad Mainul Hossain (Faculty of Arts and Social Sciences, University of Malaya, Kuala Lumpur, Malaysia)
Rolee Sifa (TasTAFE, Technical and Further Education Institution, Hobart, Australia)

Kybernetes

ISSN: 0368-492X

Article publication date: 24 January 2023

Issue publication date: 7 July 2023

414

Abstract

Purpose

The impact of the COVID-19 pandemic provides the scope to conduct online classes in the university teaching methods. This study aims to investigate the impact of technology self-efficacy on students' behavioral intention on the effectiveness of online learning.

Design/methodology/approach

This study was conducted with 323 university students using the online survey platform. Data analysis was acquired by implementing the partial least squares technique to obtain the results.

Findings

The findings revealed that the COVID-19 pandemic affects technology self-efficacy. Technology self-efficacy has a significance on perceived usefulness (PU) and ease of use, which influences students' behavioral intention to use online learning effectively. The results identified that user innovativeness facilitated the relationship between PU and behavioral intention to use online learning efficiency.

Originality/value

This study has a significant insight into the higher educational institutes and academia that lessons from the impact of the COVID-19 pandemic on technology self-efficacy toward online learning effectiveness.

Keywords

Citation

Rahman, M.K., Bhuiyan, M.A., Mainul Hossain, M. and Sifa, R. (2023), "Impact of technology self-efficacy on online learning effectiveness during the COVID-19 pandemic", Kybernetes, Vol. 52 No. 7, pp. 2395-2415. https://doi.org/10.1108/K-07-2022-1049

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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