Are You Ready for Tapping into the Metaverse in Higher Education? Integrated by Dual PLS-SEM and ANN Approach

Dang, Tri-Quan; Tran, Phuc-Thien; Nguyen, Luan-Thanh

doi:10.1007/978-3-031-48397-4_4

Cited by 12 publications

(3 citation statements)

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“…To address the potential problem of common method bias (CMB) arising from the data collected for both exogenous and endogenous variables, this study combines procedural and statistical approaches [11,20]. First, respondent anonymity was ensured, and their responses were treated as confidential, eliminating concerns regarding the veracity of the assessments.…”

Section: Common Methods Biasesmentioning

confidence: 99%

“…It allows for a detailed investigation and evaluation of the cognitive processes that govern these factors [10]. Furthermore, the theory recognizes the influence of external factors on the development and progression of beliefs, attitudes, subjective norms, and behavioral intentions [11].…”

Section: The Theory Of Planned Behavior (Tpb)mentioning

confidence: 99%

“…Many studies have found that perceived value influences e-commerce, e-learning, and in other contexts, adoption intentions [16][17][18]. Perceived value refers to students' and instructors' willingness to use the metaverse in education if the benefits outweigh the costs [11]. It reflects students' and instructors' views of the new system's economic value for education.…”

Section: H2 Social Value (Sv) Influences the Perceived Value (Pv) Of ...mentioning

confidence: 99%

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Are we ready for education in Metaverse? PLS-SEM analysis

Nguyen,

Dang,

Nguyen

et al. 2024

2576-8484

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The objective of this study is to investigate the adoption of met-averse education in Ho Chi Minh City, Vietnam, by employing the Theory of Planned Behavior (TPB) as the foundational theoretical framework. Metaverse education, utilizing immersive and interactive virtual environments for educational objectives, is an innovative and auspicious methodology in the contemporary digital realm. Data collection was conducted via judgmental sampling. Partial least squares structural equation modeling was used for the analysis. The results suggest a significant and positive impact of Consumer Intention (CI) on the practical use (AU) of the met-averse in the field of education. Furthermore, the factors of Perceived Behavioral Control (PBC), Subjective Norm (SN), and Perceived Value strongly influenced Consumer Intention (CI) in a positive manner. Moreover, Emotional Value (EV) and Social Value (SV) had a substantial impact on the Perceived Value (PV) of using the metaverse in educational contexts. Nevertheless, the lack of statistical significance in the relationship between Attitude towards Behavior (ATB) and Consumer Intention (CI) is recognized. This research not only addresses a significant gap in the theory of IS literature but also offers valuable insights for educators, policymakers, and developers. If you really understand the things that make people open to metaverse education, you can make big changes to plans and actions that are used to successfully add metaverse education to the regular school setting, especially in Ho Chi Minh City, Vietnam.

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Section: Common Methods Biasesmentioning

confidence: 99%

Section: The Theory Of Planned Behavior (Tpb)mentioning

confidence: 99%