Components of Knowledge Management Model for Metaverse Interdisciplinary
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Abstract
An effective learning model in the digital age focuses on methods that reflect the identities of the learners. The metaverse interdisciplinary knowledge management model aims to train how to think and act in order to put knowledge into practice. The objective of this research was to analyze the confirmatory components of the metaverse interdisciplinary knowledge management model using confirmatory factor analysis techniques from a group of 530 experts. The research tool was a five-point Likert scale questionnaire the components of the metaverse interdisciplinary knowledge management model. The content validity and reliability for each aspect were 0.96 - 0.98, and 0.94 - 0.99 for each factor. A second-order confirmatory factor was employed as the research technique for data analysis. The research showed that the components of the metaverse Interdisciplinary Knowledge Management Model, which have been examined for construct validity and were at a good level (x2 - Sig = 0.23, RMSEA = 0.02, RMR = 0.01, and AGFI = 0.93), and has good construct reliability (ρc = 0.96-0.98). Therefore, these factors could be created the metaverse interdisciplinary knowledge management model for undergraduates majoring in Computer Innovation and Digital Industry, Nakhon Si ThammaratRajabhat University.
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