Metaverse system adoption in education: a systematic literature review

被引:62
作者
Alfaisal, Raghad [1 ]
Hashim, Haslinda [1 ]
Azizan, Ummu Husna [1 ]
机构
[1] Univ Pendidikan Sultan Idris, Fac Art Comp & Creat Ind, Tanjong Malim, Perak, Malaysia
关键词
Education; Metaverse; Systematic literature review; Virtual Reality; VIRTUAL-REALITY; MEDICAL-EDUCATION; TECHNOLOGY; ACCEPTANCE; INTENTIONS; STUDENTS; PROJECT;
D O I
10.1007/s40692-022-00256-6
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The evaluation of information systems (IS) models, which are employed to research the adoption or acceptance of metaverse systems, is thought to be a subject of major significance. Studying the adoption or acceptability of the metaverse system is not a recent study area, and many academics have taken on the task. We should be acquainted with the leading IS models used in this study trend to assess these models and give academics a comprehensive understanding of this study trend. The primary goal of this research, in contrast to previous reviews, is to systematically evaluate the metaverse research in education from the viewpoint of IS theories/models to offer a thorough pointer that might help the scholars to carry out additional research in metaverse acceptance. A total of 41 research that was published between 2011 and 2022 were examined in the present systematic review. The main study results showed that the Technology Acceptance Model (TAM) is recognized as the most widely used model in forecasting people's intentions to uphold the metaverse system. Furthermore, it was discovered that SmartPLS (PLS-SEM) is a typical tool for validating metaverse models. In addition, the key research purpose covered in the bulk of the reviewed research is to study how students adopt or accept the metaverse system and the technology that supports it. Additionally, most of the research that was gathered was done in China, Taiwan, and the USA, accordingly. Additionally, in most of the evaluated research, it was discovered that university students were the primary respondents concerning data acquisition. These findings are anticipated to significantly improve both our comprehension of metaverse system study and the utilization of IS models.
引用
收藏
页码:259 / 303
页数:45
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