IDEAS home Printed from https://ideas.repec.org/a/jfr/wjel11/v14y2024i2p182.html
   My bibliography  Save this article

Impact of Artificial Intelligence Versus Traditional Instruction for Language Learning: A Survey

Author

Listed:
  • Chitra Dhanapal
  • N. Asharudeen
  • Sabina Yasmin Alfaruque

Abstract

This study examined the impact of AI-based training compared to conventional instruction approaches in the context of language acquisition.Employing a survey-based methodology, this study collected data from language learners to assess their perspectives and experiences of both traditional and AI-based training.The aim was to determine the advantages and disadvantages of AI-based training and its potential to enhance language learning outcomes.This study commences with a comprehensive analysis of existing research on AI in language learning and compares AI-based training with conventional instruction techniques.This study seeks to contribute to the existing body of knowledge by identifying the gaps in the literature.A representative sample of 72 learners will be administered the survey questionnaire as part of the research approach.The study collected demographic data from respondents and information on their experiences with and opinions on both traditional and AI-based training.Descriptive and inferential statistics were used to analyze the responses and draw insightful conclusions.The findings of this study shed light on the impact of AI-based training on language-learning outcomes.The analysis compared the effectiveness of AI-based instruction with conventional teaching methods, highlighting the advantages and disadvantages of each approach.The study also addresses the constraints and challenges encountered during the research process, which could affect the generalizability of the results.The study’s findings have implications for language teachers, educational institutions, and policymakers while also advancing our understanding of AI’s role of AI in language learning.The results may guide decisions regarding instructional strategies, curriculum design, and the use of AI technology in language learning programs.The study concludes with recommendations for further investigation of the potential of AI-based language learning training and solutions to the issues identified.

Suggested Citation

  • Chitra Dhanapal & N. Asharudeen & Sabina Yasmin Alfaruque, 2024. "Impact of Artificial Intelligence Versus Traditional Instruction for Language Learning: A Survey," World Journal of English Language, Sciedu Press, vol. 14(2), pages 182-182, March.
  • Handle: RePEc:jfr:wjel11:v:14:y:2024:i:2:p:182
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/wjel/article/download/25115/15623
    Download Restriction: no

    File URL: https://www.sciedupress.com/journal/index.php/wjel/article/view/25115
    Download Restriction: no
    ---><---

    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:14:y:2024:i:2:p:182. 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: 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.