Research Article

The Impact of Generative Artificial Intelligence on FFL Writing Instruction: Evidence from EFL Writing Research

Haoze YanOcean University of China*

* Corresponding author: [email protected]

Abstract

Generative artificial intelligence has developed very fast in recent years. It has brought big changes to second language learning. Lots of studies have talked about how it works in English as a Foreign Language writing teaching. But we still do not have enough studies about its use in French as a Foreign Language teaching. This study makes a comparison between two kinds of teaching. It tries to use useful findings from EFL writing research to make FFL writing teaching better. The study looks at the similar points and teaching ways of the two languages. It takes key ideas from EFL studies and puts them into FFL teaching situations. The results show that GenAI has two different kinds of effects. For students, GenAI is a smart helper that supports their learning. It helps students learn by themselves and finish tasks more quickly with personal feedback. But these good points also come with some big problems. Students may depend too much on technology, their thinking may become the same, and they may face risks of cheating in school work. For teachers, GenAI makes them change their teaching ways completely. They need to turn from giving final scores to paying attention to the whole learning process. What's more, teachers should no longer be only people who pass knowledge to students. They need to help students develop high-level thinking skills and understand different cultures better. At last, this paper says that we need clear school rules, new assessment systems and special teacher training to use GenAI well in FFL teaching. By connecting the experiences of EFL and FFL research, this study gives useful and easy-to-follow advice. It helps us make the most of GenAI's good points and lower its bad risks in language learning environments.

Keywords: writing instruction; GenAI; ESL; FFL
Published: May 18, 2026
DOI: 10.54254/2753-7064/2026.NS33712
Volume: CHR Vol.109
pp. 31-36
Download PDF

References

  1. UNESCO. (2023). Guidance for generative AI in education and research. United Nations Educational, Scientific and Cultural Organization.
  2. Wang, R. (2025). Shengchengshi rengong zhineng zai fayu zhuan ye jiaoxue zhong de yingyong [Application of generative artificial intelligence in French major teaching].
  3. Langseth, I., Nykvist, S., & Jacobsen, D. (2025). Using GenAI as a catalyst for foreign language learning: Student perceptions from the classroom.
  4. Zhang, M. (2025). Rengong zhineng liaotian gongju zai zhongxue fayu jiaoxue zhong de yingyong changjing tanxi [Analysis of application scenarios of AI chat tools in middle school French teaching].
  5. Barrot, J. S. (2023). Using ChatGPT for second language writing: Pitfalls and potentials. Journal of English for Academic Purposes.
  6. Huang, W., Hew, K., & Fryer, L. (2022). Chatbots for language learning—Are they really useful? A systematic review of chatbot-supported language learning. Journal of Computer Assisted Learning, 38(1), 237–257.
  7. De Smet, M. J., Brand-Gruwel, S., Broekkamp, H., & Kirschner, P. A. (2012). Write between the lines: Electronic outlining and the organization of text ideas. Computers in Human Behavior, 28(6), 2107–2116.
  8. Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6(1), 1–22.
  9. Thorp, H. (2023). ChatGPT is fun, but not an author. Science, 379(6630), 313.
  10. 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.
  11. Kang, J. (2025). Shengchengshi rengong zhineng zai fayu zhuan ye jiaoxue zhong de yingyong yanjiu [Research on the application of generative artificial intelligence in French major teaching].
  12. Zhu, Y. (2025). Rengong zhineng shidai daxue fayu jiaoxue zhong kuawenhua jiaoji nengli peiyang lujing tansuo [Exploration of the cultivation path of intercultural communicative competence in college French teaching in the era of artificial intelligence].
  13. King, M. R., & ChatGPT. (2023). A conversation on artificial intelligence, chatbots, and plagiarism in higher education. Cellular and Molecular Bioengineering, 16, 1–2.
  14. Yanning, D. (2017). Teaching and assessing critical thinking in second language writing: An infusion approach. Chinese Journal of Applied Linguistics, 40(4), 431–451.
  15. Kohnke, L. (2022). A pedagogical chatbot: A supplemental language learning tool.  RELC Journal. Advance online publication.  https: //doi.org/10.1177/00336882211067054.