IDEAS home Printed from https://ideas.repec.org/a/igg/jwltt0/v21y2026i1p1-19.html

Research on the Establishment and Quality Evaluation Methods of Exercise Revision Model in English Teaching and Learning

Author

Listed:
  • Zhuomei You

    (Ningde Normal University, China)

  • Wuwei Gong

    (The University of Auckland, New Zealand)

Abstract

To address bottlenecks in the revision stage of traditional methods, this study examined the effectiveness of four revision feedback models in English writing instruction, including teacher-student collaborative corrective feedback, automated evaluation feedback systems, metalinguistic corrective feedback, and self-selected corrective feedback models. Through empirical research employing a controlled experiment, data on revision rates, revision effectiveness, and score improvements were collected. Results indicated that automated evaluation and self-selected models were most effective, while the teacher-student collaborative model excelled at promoting engagement. Metalinguistic feedback was unsuitable for low-level learners. And feedback intensity showed a significant positive correlation with score improvement (P < 0.01). This research provides an empirical foundation for feedback in English instruction and advances the innovative application of educational technology.

Suggested Citation

  • Zhuomei You & Wuwei Gong, 2026. "Research on the Establishment and Quality Evaluation Methods of Exercise Revision Model in English Teaching and Learning," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global Scientific Publishing, vol. 21(1), pages 1-19, January.
    • Handle: RePEc:igg:jwltt0:v:21:y:2026:i:1:p:1-19
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJWLTT.400953
    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:jwltt0:v:21:y:2026:i:1:p:1-19. 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.