IDEAS home Printed from https://ideas.repec.org/a/ajp/edwast/v9y2025i8p1716-1724id9694.html
   My bibliography  Save this article

Empowering oral English teachers with AI to improve digital and blended teaching competencies

Author

Listed:
  • Ru Wang

  • Mazlin Mohamed Mokhtar

Abstract

The rapid advancement of artificial intelligence (AI) is reshaping the landscape of oral English education, placing new demands on educators to cultivate advanced digital teaching competencies. In response to this challenge, the present study develops and implements an AI-empowered blended teaching framework that integrates the BOPPPS (Bridge-In, Objectives, Pre-assessment, Participatory Learning, Post-assessment, and Summary) model with the PADD (Presentation, Assimilation, Discussion, and Demonstration) model. This hybrid framework aims to enhance the instructional effectiveness of English teachers through structured pedagogical and technological integration. A 12-week training program was conducted involving 72 college English teachers, from which 56 valid responses were analyzed. Using SPSS statistical tools, paired-samples t-test results revealed statistically significant improvements: AI tool adoption increased by 25%, classroom engagement rose by 47%, and teachers’ self-confidence in using AI technologies improved by 45%. These findings indicate that the proposed AI training framework is not only effective but also scalable and adaptable for professional development in oral English teaching. The framework proposed in this study offers a replicable and scalable model for teacher professional development.

Suggested Citation

  • Ru Wang & Mazlin Mohamed Mokhtar, 2025. "Empowering oral English teachers with AI to improve digital and blended teaching competencies," Edelweiss Applied Science and Technology, Learning Gate, vol. 9(8), pages 1716-1724.
    • Handle: RePEc:ajp:edwast:v:9:y:2025:i:8:p:1716-1724:id:9694
    as

    Download full text from publisher

    File URL: https://learning-gate.com/index.php/2576-8484/article/view/9694/3168
    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:ajp:edwast:v:9:y:2025:i:8:p:1716-1724:id:9694. 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.