IDEAS home Printed from https://ideas.repec.org/a/aoj/jeelre/v11y2024i1p135-141id5397.html
   My bibliography  Save this article

Using artificial intelligence for English language learning: Saudi EFL learners' opinions, attitudes and challenges

Author

Listed:
  • Mohammad Jamshed
  • Iftikhar Alam
  • Sultan Al Sultan
  • Sameena Banu

Abstract

The study investigates EFL (English as a Foreign Language) learners' opinions, attitudes and the challenges of incorporating AI-powered teaching and learning. It also examines how their ideas and attitudes are affected by demographic variables. 258 students were selected using a random sampling method from a population comprising students studying in different levels of programs at the College of Science and College of Business Administration, Prince Sattam bin Abdul-Aziz University, KSA. A questionnaire was self-developed using some modified items from prior studies as the study looks at how certain independent variables (e.g., study level, residential background and parents' educational level) affect the dependent variable (e.g., learners' opinions, attitudes and challenges for AI-powered learning and teaching). The quantitative approach (descriptive quantitative design) revealed that Saudi EFL students held a high level of positive opinions and attitudes towards AI-powered learning. However, the analysis found that many students thought implementing AI-powered learning was challenging. A one-way ANOVA showed no significant difference based on respondents' residential background and parental education. However, respondents differed significantly based on their level or year of study. The study findings will assist administrators and course teachers in using AI-powered technologies to overcome challenges and prepare students for achievement in the English language.

Suggested Citation

  • Mohammad Jamshed & Iftikhar Alam & Sultan Al Sultan & Sameena Banu, 2024. "Using artificial intelligence for English language learning: Saudi EFL learners' opinions, attitudes and challenges," Journal of Education and e-Learning Research, Asian Online Journal Publishing Group, vol. 11(1), pages 135-141.
    • Handle: RePEc:aoj:jeelre:v:11:y:2024:i:1:p:135-141:id:5397
    as

    Download full text from publisher

    File URL: http://www.asianonlinejournals.com/index.php/JEELR/article/view/5397/2747
    Download Restriction: no
    ---><---

    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:11:y:2024:i:1:p:135-141:id:5397. 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.