Staff View: Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model

Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model

This study investigated factors that predict the acceptance of metaverse applications for educational usage among university students from the facet of the Technology Acceptance Model. As both the metaverse and the Technology Acceptance Model gained popularity, little attention was paid to the metav...

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Main Authors:	Rosli, Mohd Shafe, Saleh, Nor Shela
Format:	Article
Language:	English
Published:	2024
Subjects:	LB Theory and practice of education T Technology (General)
Online Access:	http://eprints.uthm.edu.my/12535/1/J18031_778d222059fe93c10e690e3814bcaf4c.pdf http://eprints.uthm.edu.my/12535/ https://doi.org/10.1007/s42979-024-03015-9
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spelling	my.uthm.eprints.125352025-03-06T00:53:02Z http://eprints.uthm.edu.my/12535/ Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model Rosli, Mohd Shafe Saleh, Nor Shela LB Theory and practice of education T Technology (General) This study investigated factors that predict the acceptance of metaverse applications for educational usage among university students from the facet of the Technology Acceptance Model. As both the metaverse and the Technology Acceptance Model gained popularity, little attention was paid to the metaverse’s acceptance and the factors that led to the metaverse’s acceptance from the Technology Acceptance Model’s tenets. This creates a gap in our existing understanding of the metaverse. To fll the gap, Future Learning Intention (FLI), Technology Optimism (TO), Hedonic Motivation (HM), Perceived Enjoyment (PE), Technology Trust (TT), and Anticipated Benefts (AB) were integrated into the Technology Acceptance Model as external variables to study the acceptance of the metaverse among university students. The extended Technology Acceptance Model consists of 18 hypotheses that were tested using the Structural Equation Model and Mediation Analysis with data from 215 university students. The model developed was found to accurately determine university students’ acceptance of metaverse applications. FLI and TT were signifcant predictors of usefulness, while FLI, TT, and AB were signifcant antecedents of ease of use, according to the model. The samples’ Attitudes Toward Using (AT) mediated the relationship between Perceived Usefulness (PU) and Perceived Ease of Use (PEU) toward the students’ Behavioural Intention (BI) to use the metaverse. Suggestions for educational practise and metaverse development were highlighted for the metaverse’s future development in both educational and non-educational contexts. Future development of metaverse applications should prioritise understanding their prospective users’ characteristics while still maintaining the applications’ usefulness and ease of use. 2024 Article PeerReviewed text en http://eprints.uthm.edu.my/12535/1/J18031_778d222059fe93c10e690e3814bcaf4c.pdf Rosli, Mohd Shafe and Saleh, Nor Shela (2024) Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model. SN Computer Science, 5 (688). pp. 1-20. https://doi.org/10.1007/s42979-024-03015-9
institution	Universiti Tun Hussein Onn Malaysia
building	UTHM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tun Hussein Onn Malaysia
content_source	UTHM Institutional Repository
url_provider	http://eprints.uthm.edu.my/
language	English
topic	LB Theory and practice of education T Technology (General)
spellingShingle	LB Theory and practice of education T Technology (General) Rosli, Mohd Shafe Saleh, Nor Shela Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model
description	This study investigated factors that predict the acceptance of metaverse applications for educational usage among university students from the facet of the Technology Acceptance Model. As both the metaverse and the Technology Acceptance Model gained popularity, little attention was paid to the metaverse’s acceptance and the factors that led to the metaverse’s acceptance from the Technology Acceptance Model’s tenets. This creates a gap in our existing understanding of the metaverse. To fll the gap, Future Learning Intention (FLI), Technology Optimism (TO), Hedonic Motivation (HM), Perceived Enjoyment (PE), Technology Trust (TT), and Anticipated Benefts (AB) were integrated into the Technology Acceptance Model as external variables to study the acceptance of the metaverse among university students. The extended Technology Acceptance Model consists of 18 hypotheses that were tested using the Structural Equation Model and Mediation Analysis with data from 215 university students. The model developed was found to accurately determine university students’ acceptance of metaverse applications. FLI and TT were signifcant predictors of usefulness, while FLI, TT, and AB were signifcant antecedents of ease of use, according to the model. The samples’ Attitudes Toward Using (AT) mediated the relationship between Perceived Usefulness (PU) and Perceived Ease of Use (PEU) toward the students’ Behavioural Intention (BI) to use the metaverse. Suggestions for educational practise and metaverse development were highlighted for the metaverse’s future development in both educational and non-educational contexts. Future development of metaverse applications should prioritise understanding their prospective users’ characteristics while still maintaining the applications’ usefulness and ease of use.
format	Article
author	Rosli, Mohd Shafe Saleh, Nor Shela
author_facet	Rosli, Mohd Shafe Saleh, Nor Shela
author_sort	Rosli, Mohd Shafe
title	Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model
title_short	Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model
title_full	Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model
title_fullStr	Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model
title_full_unstemmed	Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model
title_sort	predicting the acceptance of metaverse for educational purposes in universities: a structural equation model and mediation analysis of the extended technology acceptance model
publishDate	2024
url	http://eprints.uthm.edu.my/12535/1/J18031_778d222059fe93c10e690e3814bcaf4c.pdf http://eprints.uthm.edu.my/12535/ https://doi.org/10.1007/s42979-024-03015-9
_version_	1825811699441074176
score	13.244413

Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model

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