IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v15y2025i2p21582440251341590.html
   My bibliography  Save this article

Envisioning the Future of AI-Assisted EFL Teaching and Learning: Conceptual Representations of Prospective Teachers

Author

Listed:
  • Muzaffer Pınar BabanoÄŸlu
  • Tuçe Öztürk KarataÅŸ
  • Esin Dündar

Abstract

Artificial intelligence (AI) rapidly transforms education, offering adaptive and personalized learning experiences. In English as a Foreign Language (EFL) education, AI-powered tools such as chatbots, writing assistants, and translation software reshape teaching and learning. This study explores how 67 prospective EFL teachers envision the future role of AI in EFL instruction, examining its potential benefits and challenges. Using a descriptive qualitative approach and reflexive thematic analysis, the study identifies 6 themes and 52 nodes addressing the risk of AI replacing teachers and 5 themes with 31 nodes regarding AI’s future impact on EFL teaching and learning. Findings suggest a preference for a human-centered AI approach—AI-assisted EFL teaching and learning (AIaEFLtl)—where AI complements rather than replaces teachers. The study highlights key implications for AI-EFL teacher collaboration, advocating for teacher training in AI integration and ethical considerations. These insights contribute to the ongoing discourse on the evolving role of AI in education and its pedagogical implications for future EFL classrooms.

Suggested Citation

  • Muzaffer Pınar BabanoÄŸlu & Tuçe Öztürk KarataÅŸ & Esin Dündar, 2025. "Envisioning the Future of AI-Assisted EFL Teaching and Learning: Conceptual Representations of Prospective Teachers," SAGE Open, , vol. 15(2), pages 21582440251, May.
    • Handle: RePEc:sae:sagope:v:15:y:2025:i:2:p:21582440251341590
    DOI: 10.1177/21582440251341590
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440251341590
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440251341590?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:sae:sagope:v:15:y:2025:i:2:p:21582440251341590. 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: SAGE Publications (email available below). General contact details of provider: .

    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.