IDEAS home Printed from https://ideas.repec.org/a/igg/jmbl00/v17y2025i1p1-14.html
   My bibliography  Save this article

Evaluating the Effectiveness of Gather Town on EFL Students' Reading Speed and IELTS Scores

Author

Listed:
  • Guanzheng Chen

    (Guangzhou Xinhua University, Dongguan, China)

  • Yuying Fan

    (Guangzhou Xinhua University, Dongguan, China)

  • Zhongyuan Liao

    (Hezhou University, Hezhou, China)

Abstract

This study explores the effectiveness of the Gather Town reading course in enhancing English as a Foreign Language (EFL) students' reading proficiency and IELTS performance compared to traditional lecture-based instruction. A randomized controlled trial (RCT) was employed, involving 240 college students randomly assigned to either the experimental group (Gather Town course) or the control group (traditional instruction). Over 10 weeks, the experimental group engaged in interactive and immersive learning activities, while the control group followed a teacher-centered approach. Results demonstrated that the Gather Town course significantly improved reading speed and IELTS scores, highlighting the benefits of immersive platforms in fostering engagement and learning outcomes. Additionally, a decision tree model effectively predicted students' learning levels, showcasing the potential of predictive modeling in educational contexts. These findings emphasize the value of integrating immersive environments and advanced analytics into EFL instruction to optimize learning experiences.

Suggested Citation

  • Guanzheng Chen & Yuying Fan & Zhongyuan Liao, 2025. "Evaluating the Effectiveness of Gather Town on EFL Students' Reading Speed and IELTS Scores," International Journal of Mobile and Blended Learning (IJMBL), IGI Global, vol. 17(1), pages 1-14, January.
  • Handle: RePEc:igg:jmbl00:v:17:y:2025:i:1:p:1-14
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJMBL.383511
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jmbl00:v:17:y:2025:i:1:p:1-14. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.