IDEAS home Printed from https://ideas.repec.org/a/aac/ijirss/v8y2025i7p477-487id10480.html
   My bibliography  Save this article

The role of AI-powered learning analytics in enhancing EFL curriculum design and learning outcomes in higher education

Author

Listed:
  • Mohammad Almutairi

  • Ali Alamry

  • Gohar Rahman

  • Badri Abdulhakim Mudhsh

Abstract

This study explores the role of AI-powered learning analytics in improving EFL curriculum design and student learning outcomes in higher education. Adopting a quasi-experimental mixed-methods design, the research engaged 120 undergraduate EFL students and 10 faculty members over a 16-week semester, integrating quantitative data—such as AI-generated engagement metrics and pre/post-test scores—with qualitative insights from student focus groups and faculty interviews. Results revealed a significant increase in academic performance, with post-test scores rising substantially. Engagement indicators, including time-on-task and online participation, were strong predictors of success, allowing for the early identification of at-risk learners. EFL students reported that personalized, real-time feedback enhanced motivation, accountability, and self-regulated learning, while faculty used analytics to adjust teaching strategies and revise curriculum elements, such as embedding targeted workshops. Despite these benefits, challenges emerged in the form of privacy concerns, the psychological burden of continuous monitoring, and faculty difficulties in interpreting complex data due to limited data literacy. The study concludes that AI-powered analytics has transformative potential, provided institutions invest in professional development, ethical data frameworks, and balanced integration with human judgment.

Suggested Citation

  • Mohammad Almutairi & Ali Alamry & Gohar Rahman & Badri Abdulhakim Mudhsh, 2025. "The role of AI-powered learning analytics in enhancing EFL curriculum design and learning outcomes in higher education," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(7), pages 477-487.
    • Handle: RePEc:aac:ijirss:v:8:y:2025:i:7:p:477-487:id:10480
    as

    Download full text from publisher

    File URL: https://ijirss.com/index.php/ijirss/article/view/10480/2485
    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:aac:ijirss:v:8:y:2025:i:7:p:477-487:id:10480. 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: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .

    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.