2021
DOI: 10.1109/access.2020.3048708
|View full text |Cite
|
Sign up to set email alerts
|

Augmented Reality and Virtual Reality for Learning: An Examination Using an Extended Technology Acceptance Model

Abstract: As the educational possibilities of AR (Augmented Reality) and VR (Virtual Reality) are getting more attention, understanding teachers' readiness to integrate new technologies for instruction would help researchers and practitioners to plan how to support them. In this regard, the present study explores teachers' willingness to integrate AR and VR technologies for teaching and learning practices. Employing an extended Technology Acceptance Model (eTAM), this study investigated whether technological pedagogical… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

7
57
0
5

Year Published

2021
2021
2023
2023

Publication Types

Select...
5
5

Relationship

0
10

Authors

Journals

citations
Cited by 116 publications
(70 citation statements)
references
References 80 publications
7
57
0
5
Order By: Relevance
“…Moreover, as it also happened in other works [29], the technology acceptance model designed by Davis [28] has proved effective in knowing the degree of acceptance of MR technology, and provided a reference to know the future intention to use any technology. Our work supports other previous studies where the TAM model proved effective to assess technological acceptance in addition to comparing results by gender [53], to measure the level of personalization perceived [35] or the intention [54]. It is additionally worth highlighting the proposal made by [55] from their study based on an empirical methodology referred to as the so-called "technological niche".…”
Section: Discussionsupporting
confidence: 85%
“…Moreover, as it also happened in other works [29], the technology acceptance model designed by Davis [28] has proved effective in knowing the degree of acceptance of MR technology, and provided a reference to know the future intention to use any technology. Our work supports other previous studies where the TAM model proved effective to assess technological acceptance in addition to comparing results by gender [53], to measure the level of personalization perceived [35] or the intention [54]. It is additionally worth highlighting the proposal made by [55] from their study based on an empirical methodology referred to as the so-called "technological niche".…”
Section: Discussionsupporting
confidence: 85%
“…In this study, we employed the TAM as a theoretical basis to study users' adoption patterns in terms of perceived usefulness and perceived ease-of-use, and used the TAM as a basic research framework to look into app users' willingness and adoption behavior. Based on many previous TAM-related studies [39][40][41][42][43][44][45][46], this study inherits the relevant research results and constructs a blueprint for the research to be explored. Therefore, we integrated external factors such as age and experience into the research framework of Venkatesh et al and TAM of Davis et al Some appropriate modifications were made to the model according to the situations and needs of our research.…”
Section: Hypothesis Developmentmentioning
confidence: 99%
“…For this reason, the authors’ research in recent years has focused on the definition of workflows capable of representing historic buildings characterised by high levels of detail and information. The definition of these methods also required an in-depth study of computer programming, through which it was possible to develop not only sustainable application methods but digital tools capable of improving the level of automation of the scan-to-BIM process [ 47 , 48 , 49 ]. Thanks to previous studies, the case study of the Arco della Pace monument, its architectural, cultural, historical, and artistic complexities, have laid the foundations for proposing a method capable of going beyond what is defined today in the international panorama of digital cultural heritage [ 50 , 51 , 52 ].…”
Section: State Of the Artmentioning
confidence: 99%