Accepting virtual reality for dynamic learning: an extension of the technology acceptance model
- 6 December 2021
- journal article
- research article
- Published by Taylor & Francis Ltd in Interactive Learning Environments
- Vol. 31 (9), 5442-5459
- https://doi.org/10.1080/10494820.2021.2009880
Abstract
Virtual reality (VR) is the latest type of technology being developed and rapidly integrated into training environments. This study investigated students’ intentions to use VR for training. The Technology Acceptance Model (TAM) was expanded to include two factors that are relevant to using VR in a dynamic learning environment. A survey of 310 aviation students was conducted at ten institutions across the United States. Results indicated positive relationships between perceived ease of use (PEU) and perceived usefulness (PU), perceived enjoyment (PENJ) and PEU positively impacted attitude towards using VR for dynamic learning, and attitude positively impacted behavioral intention (BI). Two of the eight hypotheses were not supported despite support in the literature. The findings of the study can inform instructors and developers of VR for dynamic learning programs in a variety of environments and implementation thereof.Keywords
This publication has 40 references indexed in Scilit:
- KNOWLEDGE ACQUISITION AND CYBER SICKNESS: A COMPARISON OF VR DEVICES IN VIRTUAL TOURSMM Science Journal, 2015
- A new criterion for assessing discriminant validity in variance-based structural equation modelingJournal of the Academy of Marketing Science, 2014
- Digital simulation‐based training: A meta‐analysisBritish Journal of Educational Technology, 2014
- Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learningComputers & Education, 2013
- Principles and Practice of Structural Equation Modeling, Third Edition by Rex B. KlineInternational Statistical Review, 2013
- Lower bounds on sample size in structural equation modelingElectronic Commerce Research and Applications, 2010
- Technology Acceptance Model 3 and a Research Agenda on InterventionsDecision Sciences, 2008
- A meta-analysis of the technology acceptance modelInformation & Management, 2006
- A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field StudiesManagement Science, 2000
- Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information TechnologyMIS Quarterly, 1989