IDEAS home Printed from https://ideas.repec.org/a/ajp/edwast/v8y2024i2p73-83id693.html
   My bibliography  Save this article

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

Author

Listed:
  • Binh-Hai Thi Nguyen
  • Tri-Quan Dang
  • Luan-Thanh Nguyen
  • Thuy-Thanh Thi Tran

Abstract

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.

Suggested Citation

  • Binh-Hai Thi Nguyen & Tri-Quan Dang & Luan-Thanh Nguyen & Thuy-Thanh Thi Tran, 2024. "Are we ready for education in Metaverse? PLS-SEM analysis," Edelweiss Applied Science and Technology, Learning Gate, vol. 8(2), pages 73-83.
  • Handle: RePEc:ajp:edwast:v:8:y:2024:i:2:p:73-83:id:693
    as

    Download full text from publisher

    File URL: https://learning-gate.com/index.php/2576-8484/article/view/693/207
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nguyen Thi Hai Binh, 2024. "Impulse Buying Behavior of Consumers Through Social Commerce," EconStor Preprints 283905, ZBW - Leibniz Information Centre for Economics.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ajp:edwast:v:8:y:2024:i:2:p:73-83:id:693. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Melissa Fernandes (email available below). General contact details of provider: https://learning-gate.com/index.php/2576-8484/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.