Examining students’ satisfaction with online learning during the Covid-19 pandemic - an extended UTAUT2 approach

Kosiba, JPB; Odoom, R; Boateng, H; Twum, KK; Abdul-Hamid, IK

Examining students’ satisfaction with online learning during the Covid-19 pandemic - an extended UTAUT2 approach

Kosiba, JPB Odoom, R Boateng, H

Twum, KK Abdul-Hamid, IK

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Publisher:: Informa UK Limited
Publication Type:: Journal Article
Citation:: Journal of Further and Higher Education, 2022, 46, (7), pp. 988-1005
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Kosiba, JPB
dc.contributor.author	Odoom, R
dc.contributor.author	Boateng, H https://orcid.org/0000-0002-7949-5557
dc.contributor.author	Twum, KK
dc.contributor.author	Abdul-Hamid, IK
dc.date.accessioned	2022-12-06T02:21:05Z
dc.date.available	2022-12-06T02:21:05Z
dc.date.issued	2022-01-01
dc.identifier.citation	Journal of Further and Higher Education, 2022, 46, (7), pp. 988-1005
dc.identifier.issn	0309-877X
dc.identifier.issn	1469-9486
dc.identifier.uri	http://hdl.handle.net/10453/164144
dc.description.abstract	Given that the educational sector was particularly hard hit in most countries around the world during the Covid-19 pandemic, the study employs an extended UTAUT2 to investigate student use and satisfaction with e-learning in a developing country setting. We employed partial least squares structural equation modelling (PLS-SEM) on 616 data responses gathered online from university students during the pandemic to evaluate our integrated model. This paper found that not all the predictors of the UTAUT2 model were statistically significant in predicting behavioural intention. Our results revealed that performance expectancy, effort expectancy, and facilitating conditions, as predictors, have no influence on various outcomes relating to the behavioural intention to use e-learning. The study also found that e-learning interaction quality predicts student satisfaction. Other theoretical and practical implications are also detailed in our study.
dc.language	en
dc.publisher	Informa UK Limited
dc.relation.ispartof	Journal of Further and Higher Education
dc.relation.isbasedon	10.1080/0309877X.2022.2030687
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1301 Education Systems
dc.title	Examining students’ satisfaction with online learning during the Covid-19 pandemic - an extended UTAUT2 approach
dc.type	Journal Article
utslib.citation.volume	46
utslib.for	1301 Education Systems
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Arts and Social Sciences
pubs.organisational-group	/University of Technology Sydney/Faculty of Arts and Social Sciences/School of Communication
utslib.copyright.status	closed_access	*
dc.date.updated	2022-12-06T02:21:04Z
pubs.issue	7
pubs.publication-status	Published
pubs.volume	46
utslib.citation.issue	7

Abstract:

Given that the educational sector was particularly hard hit in most countries around the world during the Covid-19 pandemic, the study employs an extended UTAUT2 to investigate student use and satisfaction with e-learning in a developing country setting. We employed partial least squares structural equation modelling (PLS-SEM) on 616 data responses gathered online from university students during the pandemic to evaluate our integrated model. This paper found that not all the predictors of the UTAUT2 model were statistically significant in predicting behavioural intention. Our results revealed that performance expectancy, effort expectancy, and facilitating conditions, as predictors, have no influence on various outcomes relating to the behavioural intention to use e-learning. The study also found that e-learning interaction quality predicts student satisfaction. Other theoretical and practical implications are also detailed in our study.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/164144