IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i2p21582440231181296.html
   My bibliography  Save this article

Exploring the Effects of Automated Written Corrective Feedback on EFL Students’ Writing Quality: A Mixed-Methods Study

Author

Listed:
  • Ning Fan

Abstract

Despite a large number of studies on the adoption of automated writing evaluation (AWE) systems, the effects of automated written corrective feedback (AWCF) on English as a Foreign Language (EFL) students’ writing has been insufficiently documented. This study employed a mixed-method approach to examine such effects because of the significance of AWCF in EFL writing. Using a quasi-experimental design, this study explored how AWCF through Grammarly affected EFL students’ writing quality. A total of 67 EFL students from two intact university English classes participated in this study, with a treatment group receiving two rounds of Grammarly feedback and teacher feedback while a comparison group receiving teacher feedback only. The results of the posttest writing task revealed that the students from the treatment group did not significantly outperform the students from the comparison group in syntactic and lexical complexity, accuracy, and fluency. A follow-up questionnaire consisting of fixed-response and open-ended questions was administered to the students from the treatment group after the posttest to elicit the students’ perceptions of Grammarly feedback effects on their writing. The qualitative findings supported and provided deeper insights into the quantitative results. This study was concluded with a discussion of its limitations and implications.

Suggested Citation

  • Ning Fan, 2023. "Exploring the Effects of Automated Written Corrective Feedback on EFL Students’ Writing Quality: A Mixed-Methods Study," SAGE Open, , vol. 13(2), pages 21582440231, June.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:2:p:21582440231181296
    DOI: 10.1177/21582440231181296
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231181296
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440231181296?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:sae:sagope:v:13:y:2023:i:2:p:21582440231181296. 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: SAGE Publications (email available below). General contact details of provider: .

    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.