COMPARING CHATGPT’S FEEDBACK WITH TEACHER’S FEEDBACK IN REVISING FRENCH TEXTS

COMPARING CHATGPT’S FEEDBACK WITH TEACHER’S FEEDBACK IN REVISING FRENCH TEXTS

Do Thi Bich Thuy dbthuy2003@gmail.com University of Languages and International Studies – Vietnam National University, Hanoi Pham Van Dong street, Cau Giay district, Hanoi, Vietnam
Summary: 
This study compares ChatGPT’s feedback with teacher feedback in revising B1+-level French writing for 47 university students. The data comprises questionnaires and students’ reflective reports, focusing on the comparison between ChatGPT’s and teacher’s feedback in terms of the quantity and quality of feedback, motivational encouragement, grading criteria, clarity, and usefulness. The results indicate that the scores assigned by ChatGPT and teachers were relatively similar. Overall, teacher feedback was rated more favorably by students across most aspects; however, ChatGPT detected more errors and provided more suggestions for improving expression. A total of 51.06% of students preferred teacher feedback, while 48.94% favored a combination of both types. This study represents one of the pioneering efforts to explore the integration of ChatGPT into French language teaching in Vietnam.
Keywords: 
ChatGPT feedback
teacher feedback
writing instruction
student perceptions
comparison.
Refers: 

[1] Baskara, R. (2023). Exploring the implications of ChatGPT for language learning in higher education. Indonesian Journal of English Language Teaching and Applied Linguistics, 7(2), 343-358

[2] Fokides, E., & Peristeraki, E. (2024). Comparing ChatGPT’s correction and feedback comments with that of educators in the context of primary students’ short essays written in English and Greek. Education and Information Technologies, 1-45

[3] Le Boterf, G. (2000). Construire les compétences individuelles et collectives. Editions d’Organisation

[4] Steiss, J., Tate, T., Graham, S., Cruz, J., Hebert, M., Wang, J., ... & Olson, C. B. (2024). Comparing the quality of human and ChatGPT feedback of students’ writing. Learning and Instruction, 91, 101894

[5] Su, Y., Lin, Y., & Lai, C. (2023). Collaborating with ChatGPT in argumentative writing class rooms. Assessing Writing, 57, 100752. https://doi. org/10.1016/j.asw.2023.100752

[6] Van Dis, E. A., Bollen, J., Zuidema, W., Van Rooij, R., & Bockting, C. L. (2023). ChatGPT: five priorities for research. Nature, 614(7947), 224-226. https://doi. org/10.1038/d41586-023-00288-7

[7] Woodworth, J. & Barkaoui, K. (2020). Perspectives on using automated writing evaluation systems to provide written corrective feedback in the ESL classroom. TESL Canada Journal, 37(2), 234-247

[8] Yoon, S. Y., Miszoglad, E., & Pierce, L. R. (2023). Evaluation of ChatGPT feedback on ELL writers’ coherence and cohesion. arXiv preprint arXiv:2310.06505.

[9] Zeevy-Solovey, O. (2024). Comparing peer, ChatGPT, and teacher corrective feedback in EFL writing: Students’ perceptions and preferences. Technology in Language Teaching & Learning, 6(3), 1482-1482

Articles in Issue