IDEAS home Printed from https://ideas.repec.org/a/aoj/jeelre/v12y2025i3p479-487id7395.html
   My bibliography  Save this article

Exploring teacher adoption of AI: A structural analysis of Microsoft Copilot in education

Author

Listed:
  • Nguyen Thi Hang Nga
  • Nguyen Thi Phuong Nhung
  • Nguyen Thi Quynh Anh

Abstract

This study aims to investigate the driving factors influencing teachers’ intention to adopt an AI-powered assistant (Microsoft Copilot) in their professional development. This study attempted to validate ten hypothetical assumptions derived from notable theoretical models (UTAUT and TPACK). A survey was conducted with 280 teachers, who responded through Google Forms. The data were analyzed using Generalized Structured Component Analysis (GSCA) to test the proposed research model. The findings showed that both Technological Pedagogical Knowledge (TPK) and Perceived Ease of Use (PEOU) had a significant impact on teachers’ self-efficacy and their intention to use Copilot. PEOU also played a key role in influencing Perceived Usefulness (PU) and Teaching Self-Efficacy (SE) while TPK directly affected PU and Behavioral Intention (BI). Interestingly, and somewhat unexpectedly, PU did not show a meaningful influence on either SE or BI. These results suggest that how easy a tool is to use and how well it fits into teachers’ existing pedagogical knowledge may matter more than how useful it appears on the surface. Our proposed model explains 55.9% of the variation in the data. The study’s findings are expected to make important contributions to the academic and practical aspects of applying AI to enhance teachers’ digital competence.

Suggested Citation

  • Nguyen Thi Hang Nga & Nguyen Thi Phuong Nhung & Nguyen Thi Quynh Anh, 2025. "Exploring teacher adoption of AI: A structural analysis of Microsoft Copilot in education," Journal of Education and e-Learning Research, Asian Online Journal Publishing Group, vol. 12(3), pages 479-487.
    • Handle: RePEc:aoj:jeelre:v:12:y:2025:i:3:p:479-487:id:7395
    as

    Download full text from publisher

    File URL: https://www.asianonlinejournals.com/index.php/JEELR/article/view/7395/3301
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:aoj:jeelre:v:12:y:2025:i:3:p:479-487:id:7395. 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: Sara Lim (email available below). General contact details of provider: http://asianonlinejournals.com/index.php/JEELR/ .

    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.