Extending the technology acceptance model to explore the intention to use Second Life for enhancing healthcare education

Chow, Meyrick C.M.; Herold, David Kurt; Choo, Tat-Ming; Chan, Kitty S.

doi:10.1016/j.compedu.2012.05.011

Cited by 263 publications

(176 citation statements)

References 39 publications

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“…It has also been used in studies involving pre-service teachers (e.g., Teo, 2009;Teo, Lee, Chai, & Wong, 2009). On the other hand, there are only a handful of studies examining the applicability of the TAM in MUVEs (e.g., Bertrand & Bouchard, 2008;Chow, Herold, Choo, & Chan, 2012). What is more, there are no studies utilizing the TAM in order to examine pre-service teachers' intention to use MUVEs when they become practicing teachers.…”

Section: Technology Acceptance Model and Self-efficacy Beliefsmentioning

confidence: 99%

Pre-Service Teachers’ Intention to Use MUVEs as Practitioners – A Structural Equation Modeling Approach

Fokides

2017

JITE:Research

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Aim/PurposeThe study examines the effectiveness of university courses in shaping preservice teachers' intention to use 3D multi-user virtual environments (MUVEs) when they become practicing teachers. Background Four variables (perceived usefulness, perceived ease of use, self-efficacy, and attitude toward use), as well as behavioral intention to use MUVEs, were used to build a research model that extended the Technology Acceptance Model, and structural equation modeling was used for parameter estimation and model testing. Methodology Self-reported data was gathered from 325 pre-service teachers studying at the Department of Primary School Education at the University of the Aegean in Greece. ContributionThe study demonstrated the applicability of the TAM as a model that can adequately explain pre-service teachers' intention to use MUVEs as practicing teachers. FindingsResults analyses revealed a good model fit and, overall, 64% of the variance in behavioral intention was explained. Perceived usefulness and perceived ease of use were the most influential factors. Recommendations for PractitionersIn order to increase the odds of a successful use of MUVEs in educational settings, institutions need to address specific organizational factors that will positively influence pre-service teachers' intentions to use them and provide experiences relevant to that technology. Also, more emphasis is needed on the usability of MUVEs.

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Section: Technology Acceptance Model and Self-efficacy Beliefsmentioning

confidence: 99%

Pre-Service Teachers’ Intention to Use MUVEs as Practitioners – A Structural Equation Modeling Approach

Fokides

2017

JITE:Research

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“…Once the student had completed the entire procedure in the virtual ward, the system would automatically generate a record of the student's performance. Virtual worlds have been widely accepted and used in healthcare, for example, in disaster simulation, and in nursing, medical, and nutrition education (Chow et al, 2012;Kamel Boulos, Ramloll, Jones, & Toth-Cohen, 2008;Schmidt & Stewart, 2010).…”

Section: Presence and Learning In Virtual 3d Environmentsmentioning

confidence: 99%

Determinants of presence in 3D virtual worlds: A structural equation modelling analysis

Chow

2016

AJET

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There is a growing body of evidence that feeling present in virtual environments contributes to effective learning. Presence is a psychological state of the user; hence, it is generally agreed that individual differences in user characteristics can lead to different experiences of presence. Despite the fact that user characteristics can play a significant role in research on presence, most studies on the determinants of presence focus on immersive, interactive, and perceptually realistic aspects within the technology. Research into user characteristics and how they affect presence has received little attention thus far. The purpose of this study is to explore how user variables combine and interact to predict the level of presence in a 3D virtual learning environment. One hundred and eighty-five nursing students participated in this study and completed a questionnaire measuring user variables. Structural equation modelling was employed as the main technique for data analysis to ensure methodological rigor. The findings indicate that subjective norm, perceived ease of use, computer self-efficacy, and perceived usefulness account for 52% of the total variance of the sense of presence. This study makes a significant contribution by developing and validating an initial model of the determinants of presence in a 3D virtual world.

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“…Based on this, Second Life is deemed to be a rich environment that allows students, instructors and professionals to create learning experiences actively through the formation of specific environments (Chow, Herold, Choo & Chan, 2012;Memikoğlu, 2014;Sidorko, 2009). Figure 2 shows a picture of a classroom in Second Life.…”

mentioning

confidence: 99%

Second Life adoption in education: A motivational model based on Uses and Gratifications theory

Gallego

Bueno

Noyes

2016

Computers & Education

107

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General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT Second Life adoption in education: A motivational model based on Uses and Gratifications theory

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Extending the technology acceptance model to explore the intention to use Second Life for enhancing healthcare education

Cited by 263 publications

References 39 publications

Pre-Service Teachers’ Intention to Use MUVEs as Practitioners – A Structural Equation Modeling Approach

Pre-Service Teachers’ Intention to Use MUVEs as Practitioners – A Structural Equation Modeling Approach

Determinants of presence in 3D virtual worlds: A structural equation modelling analysis

Second Life adoption in education: A motivational model based on Uses and Gratifications theory

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