1887
  1. Home
  2. e-Journals
  3. Chinese as a Second Language. The journal of the Chinese Language Teachers Association, USA
  4. Online First Articles
  5. Online First Article
image of Exploring the Chinese AWCF Platform’s value in improving CSL learners’ writing performance in a ChatGPT context
USD
Buy:$35.00 + Taxes

Abstract

Abstract

This study evaluates the efficacy of Chinese Automated Writing Correction Feedback (AWCF) platforms in enhancing writing performance among Chinese as a Second Language (CSL) learners against the backdrop of emerging generative AI tools like ChatGPT. Employing data from an intermediate CSL course at an Ivy League university, the paper scrutinizes selected Chinese AWCF platforms, such as Meta XiezuoCat, for their accuracy, effectiveness, and instructional potential. The analysis juxtaposes AWCF feedback withChatGPT responses and instructor assessments, revealing both the strengths and limitations of these platforms. The findings indicate that existing Chinese AWCF platforms exhibit noticeable limitations in CFL writing support but hold considerable potential for future development. Despite limitations in current corpus and accuracy compared with Generative AI such as ChatGPT, AWCF’s one-stop service model in error correction significantly reduces the cost of prompt engineering, while its feature of allowing “noticing” can help enhance students’ metalinguistic awareness. This finding also highlights the critical need for AWCF platforms to improve their utility by incorporating expansive and authentic CSL learner data.

© John Benjamins Publishing Company
Loading

Article metrics loading...

/content/journals/10.1075/csl.24008.yan
2024-11-12
2024-12-12

  • From This Site

    /content/journals/10.1075/csl.24008.yan
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Aijiaodui
    Aijiaodui (2022) Product capabilities. https://www.ijiaodui.com/#page1
  2. Barrot, J. S.
    (2023a) Using CHATGPT for second language writing: Pitfalls and potentials. Assessing Writing, , 100745. 10.1016/j.asw.2023.100745
     https://doi.org/10.1016/j.asw.2023.100745 [Google Scholar]
  3. (2023b) Using automated written corrective feedback in the writing classrooms: Effects on L2 writing accuracy. Computer Assisted Language Learning, (), –. 10.1080/09588221.2021.1936071
     https://doi.org/10.1080/09588221.2021.1936071 [Google Scholar]
  4. Fan, N.
    (2023) Exploring the effects of automated written corrective feedback on EFL students’ writing quality: A mixed-methods study. Sage Open, (). 10.1177/21582440231181296
     https://doi.org/10.1177/21582440231181296 [Google Scholar]
  5. Google
    Google (2023) What is generative AI and what are its applications?Google Cloud. RetrievedFebruary 25, 2024, fromhttps://cloud.google.com/use-cases/generative-ai
     [Google Scholar]
  6. Grammarly
    Grammarly (2024) About Us. https://www.grammarly.com/about
  7. Gray, R.
    (2004) Grammar correction in ESL/EFL writing classes may not be effective. The TESL Journal, ().
     [Google Scholar]
  8. Guo, Q., Feng, R., & Hua, Y.
    (2021) How effectively can EFL students use automated written corrective feedback (AWCF) in research writing?Computer Assisted Language Learning, (), –. 10.1080/09588221.2021.1879161
     https://doi.org/10.1080/09588221.2021.1879161 [Google Scholar]
  9. Koltovskaia, S.
    (2020) Student engagement with automated written corrective feedback (AWCF) provided by Grammarly: A multiple case study. Assessing Writing, , 100450. 10.1016/j.asw.2020.100450
     https://doi.org/10.1016/j.asw.2020.100450 [Google Scholar]
  10. Lee, I.
    (2003) L2 writing teachers’ perspectives, practices and problems regarding error feedback. Assessing Writing, (), –. 10.1016/j.asw.2003.08.002
     https://doi.org/10.1016/j.asw.2003.08.002 [Google Scholar]
  11. Li, J., Link, S., & Hegelheimer, V.
    (2015) Rethinking the role of Automated Writing Evaluation (AWE) feedback in ESL writing instruction. Journal of Second Language Writing, , –. 10.1016/j.jslw.2014.10.004
     https://doi.org/10.1016/j.jslw.2014.10.004 [Google Scholar]
  12. Mantello, M.
    (1997) Error correction in the L2 classroom. Canadian Modern Language Review, (), –. 10.3138/cmlr.54.1.127
     https://doi.org/10.3138/cmlr.54.1.127 [Google Scholar]
  13. Milewski, G.
    (2022) Ahead of the curve: How pegTM has led automated scoring for years. Educational Records Bureau. https://www.erblearn.org/blog/ahead-of-the-curve-how-peg-has-led-automated-scoring-for-years/
     [Google Scholar]
  14. Page, E. B.
    (2003) Project Essay Grade: PEG. InM. D. Shermis & J. Burstein (Eds.), Automated essay scoring: A cross-disciplinary perspective (pp.–). Lawrence Erlbaum Associates Publishers.
     [Google Scholar]
  15. Ranalli, J.
    (2018) Automated written corrective feedback: How well can students make use of it?Computer Assisted Language Learning, (), –. 10.1080/09588221.2018.1428994
     https://doi.org/10.1080/09588221.2018.1428994 [Google Scholar]
  16. Schmidt, R. W.
    (1990) The role of consciousness in second language learning. Applied Linguistics, (), –. 10.1093/applin/11.2.129
     https://doi.org/10.1093/applin/11.2.129 [Google Scholar]
  17. Truscott, J.
    (1999) What’s wrong with oral grammar correction?Canadian Modern Language Review, (), –. 10.3138/cmlr.55.4.437
     https://doi.org/10.3138/cmlr.55.4.437 [Google Scholar]
  18. Warschauer, M., & Ware, P.
    (2006) Automated writing evaluation: Defining the classroom research agenda. Language Teaching Research, (), –. 10.1191/1362168806lr190oa
     https://doi.org/10.1191/1362168806lr190oa [Google Scholar]
  19. Wharton School
    Wharton School (2023, July31). Practical AI for instructors and students part 1: Introduction to AI for teachers and students [Video]. YouTube. https://www.youtube.com/watch?v=t9gmyvf7JYo&list=PLwRdpYzPkkn302_rL5RrXvQE8j0jLP02j&index=1
     [Google Scholar]
  20. Wucuozi
    Wucuozi (2021, March23). Checking 12 categories of errors. https://wucuozi.cn/
  21. Xiezuomao
    Xiezuomao (2024) Introduction. https://metasota.ai/#/production/Xiezuocat
  22. Yan, D.
    (2023) Impact of CHATGPT on learners in a L2 writing practicum: An exploratory investigation. Education and Information Technologies, (), –. 10.1007/s10639‑023‑11742‑4
     https://doi.org/10.1007/s10639-023-11742-4 [Google Scholar]
  23. Zhou, J., Li, C., Liu, H., Bao, Z., Xu, G., & Li, L.
    (2018) Chinese grammatical error correction using statistical and neural models. InNatural Language Processing and Chinese Computing, 7th CCF International Conference, NLPCC 2018, Hohhot, China, August 26–30, 2018Proceedings, Part II (pp.–). 10.1007/978‑3‑319‑99501‑4_10
     https://doi.org/10.1007/978-3-319-99501-4_10 [Google Scholar]
/content/journals/10.1075/csl.24008.yan
Loading
Exploring the Chinese AWCF Platform’s value in improving CSL learners’ writing performance in a ChatGPT context
John Benjamins ; https://doi.org/10.1075/csl.24008.yan
/content/journals/10.1075/csl.24008.yan
/content/journals/10.1075/csl.24008.yan
Loading

Data & Media loading...

  • Article Type: Research Article
Keywords: automated writing correction feedback (AWCF) ; 自动写作纠错反馈（AWCF） ; Computer Assisted Language Learning (CALL) ; 计算机辅助语言学习（CALL） ; 元语言意识 ; metalinguistic awareness ; generative AI ; ：中文作为第二语言 ; 生成式人工智能 ; Chinese as a Second Language

Most Cited

This is a required field
Please enter a valid email address
Approval was successful
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error