Academics' continuance intention to use learning technologies during COVID-19 and beyond.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 28 04 2023
accepted: 29 11 2023
medline: 3 1 2024
pubmed: 3 1 2024
entrez: 2 1 2024
Statut: epublish

Résumé

The COVID-19 pandemic has revolutionized the teaching pedagogy in higher education as universities are forecasted to increase investments in learning technology infrastructure to transition away from traditional teaching methods. Therefore, it is crucial to investigate whether academics intend to continually integrate learning technologies as part of a permanent pedagogical change beyond the COVID-19 pandemic. Drawing upon the Unified Theory of Acceptance and Use of Technology (UTAUT), and Expectation Confirmation Model (ECM), this study examines the salient determinants influencing the continuance intention of academics to use learning technologies in their teaching pedagogy during and after COVID-19. Primary data collected from a private university was analyzed using the partial least squares structural equation modelling technique (PLS-SEM). The findings revealed two sequential mediating relationships which serve as the mechanism linking the relationship between facilitating conditions and their continuance intention to use learning technologies during and beyond the COVID-19 pandemic.

Identifiants

pubmed: 38166113
doi: 10.1371/journal.pone.0295746
pii: PONE-D-23-10715
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0295746

Informations de copyright

Copyright: © 2024 Vasuthevan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Kaveendra Vasuthevan (K)

Department of Economics, School of Business, Monash University Malaysia, Selangor, Malaysia.

Santha Vaithilingam (S)

Sunway Institute for Global Strategy and Competitiveness, Sunway University, Selangor, Malaysia.

Jason Wei Jian Ng (JWJ)

Department of Applied Statistics, School of Mathematical Sciences, Sunway University, Selangor, Malaysia.

Classifications MeSH