IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-03543-y.html
   My bibliography  Save this article

L2 writer engagement with automated written corrective feedback provided by ChatGPT: A mixed-method multiple case study

Author

Listed:
  • Da Yan

    (Xinyang Agricultural and Forestry University)

  • Shuxian Zhang

    (Xinyang Agricultural and Forestry University)

Abstract

Automated written corrective feedback (AWCF) has been widely applied in second language (L2) writing classrooms in the past few decades. Recently, the introduction of tools based on generative artificial intelligence (GAI) such as ChatGPT heralds groundbreaking changes in the conceptualization and practice of AWCF in L2 pedagogy. However, students’ engagement in such an interactive and intelligent learning environment remains unstudied. The present study aims to investigate L2 writers’ behavioral, cognitive, and affective engagement with ChatGPT as an AWCF provider for writing products. This mixed-method multiple case study explored four L2 writers’ behavioral, cognitive, and affective engagement with AWCF provided by ChatGPT. Bearing the conversational and generative mechanisms of ChatGPT in mind, data on students’ engagement were collected from various sources: prompt writing techniques, revision operations, utilization of metacognitive and cognitive strategies, and attitudinal responses to the feedback. The results indicated that: 1) behavioral engagement was related to their individual differences in language proficiencies and technological competencies; 2) the participants have failed to metacognitively regulate the learning processes in an effective manner; and 3) ChatGPT ushered in an affectively engaging, albeit competence-demanding and time-consuming, learning environment for L2 writers. The study delivers conceptual and pedagogical implications for educators and researchers poised to incorporate GAI-based technologies in language education.

Suggested Citation

  • Da Yan & Shuxian Zhang, 2024. "L2 writer engagement with automated written corrective feedback provided by ChatGPT: A mixed-method multiple case study," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03543-y
    DOI: 10.1057/s41599-024-03543-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-03543-y
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-024-03543-y?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03543-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.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.