Factors Influencing the Acceptance of Metaverse Innovation for Education among Undergraduate Students
Keywords:
Metaverse, The technology acceptance model (TAM), Perceived ease of useAbstract
This research aims to: 1) study the factors affecting the acceptance of educational metaverse innovations by graduate students, and 2) compare the factors that have the greatest impact on their acceptance of such innovations. The population consisted of graduate students from universities in Thailand, and the sample comprised 950 graduate students from various universities. A questionnaire was used as the research instrument and data were collected via mail and online. Descriptive statistical analysis and confirmatory factor analysis were employed.
The research found that the most influential factor was perceived ease of use, with a prediction coefficient of .977. This was followed by perceived benefits, with a prediction coefficient of .956, and finally by social influence, with a prediction coefficient of .886. The developed model for measuring the factors affecting the acceptance of educational metaverse innovations by graduate students was found to be consistent with the empirical data. By considering the analytical index criteria as follows, there is a value = 35.838, df = 27, p-value = .119, relative
= 1.327, GFI = .994, CFI = .999, NFI =.996, RMSEA = .019 and RMR = .005
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