IDEAS home Printed from https://ideas.repec.org/a/jfr/wjel11/v15y2025i6p209.html

Evaluating AI Applications for Enhancing Listening Comprehension among EFL students in English language in Real-World Scenarios

Author

Listed:
  • Wafa' A. Hazaymeh
  • Turky Alshaikhi
  • Mohammad Osman Abdul Wahab
  • Mohamad A. Khasawneh

Abstract

This paper assesses the extent to which Artificial Intelligence technologies improve listening comprehension in English among foreign language learners in Saudi Arabia. In this study, both the quantitative assessment of the changes in the listening comprehension levels of the participants as well as qualitative feedback that focused on the use of AI applications by the learners were collected. It was established that listening comprehension improved, particularly in the contextualized area, and that learner engagement and motivation also improved. At the same time, difficulties connected with accent recognition, technical problems, and the lack of depth in the comments were also discussed. This is the main lesson from this study about AI, in applications, much as the tools are useful and provide great benefits, they should be used as a supplement rather than a substitute to traditional methods. Further works should be aimed at enhancing the AI in applications to various linguistic contexts and enhancing the feedback.

Suggested Citation

  • Wafa' A. Hazaymeh & Turky Alshaikhi & Mohammad Osman Abdul Wahab & Mohamad A. Khasawneh, 2025. "Evaluating AI Applications for Enhancing Listening Comprehension among EFL students in English language in Real-World Scenarios," World Journal of English Language, Sciedu Press, vol. 15(6), pages 209-209, October.
    • Handle: RePEc:jfr:wjel11:v:15:y:2025:i:6:p:209
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/wjel/article/download/27905/17062
    Download Restriction: no
    File URL: https://www.sciedupress.com/journal/index.php/wjel/article/view/27905
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nayef Shaie Alotaibi & Awad Hajran Alshehri, 2023. "Prospers and Obstacles in Using Artificial Intelligence in Saudi Arabia Higher Education Institutions—The Potential of AI-Based Learning Outcomes," Sustainability, MDPI, vol. 15(13), pages 1-18, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ibrahim A. Elshaer & Sameer M. AlNajdi & Mostafa A. Salem, 2025. "Sustainable AI Solutions for Empowering Visually Impaired Students: The Role of Assistive Technologies in Academic Success," Sustainability, MDPI, vol. 17(12), pages 1-18, June.
    2. Heyam H. Al-Baity, 2023. "The Artificial Intelligence Revolution in Digital Finance in Saudi Arabia: A Comprehensive Review and Proposed Framework," Sustainability, MDPI, vol. 15(18), pages 1-16, September.
    3. Ahmad Almufarreh, 2024. "Determinants of Students’ Satisfaction with AI Tools in Education: A PLS-SEM-ANN Approach," Sustainability, MDPI, vol. 16(13), pages 1-20, June.
    4. Alshibani, Safiya Mukhtar & Korayim, Diana & Mehrotra, Ankit & Agarwal, Vaishali, 2025. "Fostering responsible AI adoption in startups through entrepreneurial orientation: A sustainable approach," Technological Forecasting and Social Change, Elsevier, vol. 219(C).
    5. Yaser Hasan Al-Mamary & Adel Abdulmohsen Alfalah & Mohammad Mulayh Alshammari & Aliyu Alhaji Abubakar, 2024. "Exploring factors influencing university students’ intentions to use ChatGPT: analysing task-technology fit theory to enhance behavioural intentions in higher education," Future Business Journal, Springer, vol. 10(1), pages 1-17, December.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:jfr:wjel11:v:15:y:2025:i:6:p:209. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sciedu Press (email available below). General contact details of provider: http://wjel.sciedupress.com .

    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.