Main Article Content
Abstract
EFL writing presents challenges not only for students but also for teachers who must provide constructive feedback to promote student improvement. Given the substantial workload that teachers often face, there is a growing need for tools that can support the feedback process. The rise of Artificial Intelligence (AI), particularly tools like ChatGPT, has introduced new opportunities in the field of education. Its potential to assist in providing feedback has garnered significant attention. Several studies have explored students’ perceptions of receiving feedback through ChatGPT in EFL writing, with findings that vary in scope and sentiment. This study aims to explore students’ general perceptions of ChatGPT as a feedback tool, examining both its benefits and drawbacks as reported in the existing literature. Using the PRISMA Systematic Literature Review model, this research analyzes five out of 29 articles that met the inclusion criteria established for the review. The findings suggest that, in general, students have a positive perception of ChatGPT as a feedback provider. However, the data also indicate that ChatGPT cannot fully replace human feedback, such as that provided by teachers, due to the various advantages and limitations of the tool. These insights can serve as valuable guidance for teachers who are considering incorporating ChatGPT into their feedback practices for EFL writing. By understanding both the potential and the challenges of AI-driven feedback, teachers can make informed decisions on how best to support their students' writing development.
Keywords
Article Details

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
- Ajogbeje, O. J. (2023). Enhancing Classroom Learning Outcomes: The Power of Immediate Feedback Strategy. International Journal of Disabilities Sports and Health Sciences, 6(3), 453–465. https://doi.org/10.33438/IJDSHS.1323080
- Alsofyani, A. H., & Barzanji, A. M. (2024). The Effects of ChatGPT-Generated Feedback on Saudi EFL Learners’ Writing Skills and Perception at the Tertiary Level: A Mixed-Methods Study. Journal of Educational Computing Research, 0(0), 1–33. https://doi.org/10.1177/07356331241307297
- Baumeister, R. F., Vohs, K. D., Nathan DeWall, C., & Zhang, L. (2007). How Emotion Shapes Behavior: Feedback, Anticipation, and Reflection, Rather Than Direct Causation. Personality and Social Psychology Review, 11(2), 167–203. https://doi.org/10.1177/1088868307301033
- Brooks, C., Carroll, A., Gillies, R. M., & Hattie, J. (2019). A matrix of feedback for learning. Australian Journal of Teacher Education, 44(4), 14–32. https://doi.org/10.14221/ajte.2018v44n4.2
- Faraj, A. K. A. (2015). Scaffolding EFL Students ’ Writing through the Writing Process Approach. Journal of Education and Practice, 6(13), 131–142.
- Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 61(3), 460–474. https://doi.org/10.1080/14703297.2023.2195846
- Gonzalez-Torres, P., & Sarango, C. (2023). Effectiveness of Teacher and Peer Feedback in EFL Writing: A Case of High School Students. International Journal of Learning, Teaching and Educational Research, 22(4), 73–86. https://doi.org/10.26803/IJLTER.22.4.5
- Hathila, P., Baria, D., Damor, C., & Mahajan, S. (2023). Students’ reflection on immediate feedback during formative assessment. National Journal of Physiology, Pharmacy and Pharmacology, 13(0), 1. https://doi.org/10.5455/njppp.2023.13.01054202306022023
- Hayes, D. (1997). Helping teachers to cope with large classes. ELT Journal, 51(2), 106–116. https://doi.org/10.1093/elt/51.2.106
- Kurt, G., & Kurt, Y. (2024). Enhancing L2 Writing Skills: Chatgpt as an Automated Feedback Tool. Journal of Information Technology Education: Research, 23, 1–17. https://doi.org/. https://doi.org/10.28945/5370
- Lee, I., Luo, N., & Mak, P. (2021). Teachers’ attempts at focused written corrective feedback in situ. Journal of Second Language Writing, 54, 100809. https://doi.org/https://doi.org/10.1016/j.jslw.2021.100809
- Naik, D., Naik, I., & Naik, N. (2024). Sorry, I Am an AI Language Model: Understanding the Limitations of ChatGPT BT. In N. Naik, P. Jenkins, S. Prajapat, & P. Grace (Eds.), The International Conference on Computing, Communication, Cybersecurity and AI, (pp. 26–42). Springer Nature Switzerland.
- Pati, D., & Lorusso, L. N. (2017). How to Write a Systematic Review of the Literature. HERD: Health Environments Research & Design Journal, 11(1), 15–30. https://doi.org/10.1177/1937586717747384
- Polakova, P., & Ivenz, P. (2024). The impact of ChatGPT feedback on the development of EFL students’ writing skills. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2024.2410101
- Ranalli, J. (2018). Automated written corrective feedback: how well can students make use of it? Computer Assisted Language Learning, 31(7), 653–674. https://doi.org/10.1080/09588221.2018.1428994
- Shi, H., & Aryadoust, V. (2024). A systematic review of AI-based automated written feedback research. ReCALL, 36(2), 1–23. https://doi.org/10.1017/S0958344023000265
- Singh, P. (2024). Rehumanizing Education : Embracing the Human Touch. OA Journal Behavioural Science and Psychology, 7(1), 1–3.
- Stevenson, M., & Phakiti, A. (2014). The effects of computer-generated feedback on the quality of writing. Assessing Writing, 19, 51–65. https://doi.org/https://doi.org/10.1016/j.asw.2013.11.007
- Stojanov, A., Liu, Q., & Koh, J. H. L. (2024). University students’ self-reported reliance on ChatGPT for learning: A latent profile analysis. Computers and Education: Artificial Intelligence, 6, 100243. https://doi.org/https://doi.org/10.1016/j.caeai.2024.100243
- Suharti, D. S., Permanasari, N. E., & Ihsana El Khuluqo, I. E. K. (2019). Prewriting Activities in Teaching EFL Writing. UHAMKA International Conference on ELT and CALL (UICELL), November, 246–253.
- Teng, M. F. (2024). “ChatGPT is the companion, not enemies”: EFL learners’ perceptions and experiences in using ChatGPT for feedback in writing. Computers and Education: Artificial Intelligence, 7(May), 100270. https://doi.org/10.1016/j.caeai.2024.100270
- Thi, N. K., & Nikolov, M. (2022). How Teacher and Grammarly Feedback Complement One Another in Myanmar EFL Students’ Writing. Asia-Pacific Education Researcher, 31(6), 767–779. https://doi.org/10.1007/s40299-021-00625-2
- Toscu, S. (2024). An Investigation on the Effectiveness of Chatbots in Evaluating Writing Assignments in Efl Contexts. Mehmet Akif Ersoy Üniversitesi Eğitim Fakültesi Dergisi, 72, 295–329. https://doi.org/10.21764/maeuefd.1425384
- Utami, A. A. I. D. A., Sidaryanti, N. N. A., & Wirahyuni, K. (2024). Burnout among EFL Teachers in Indonesia : Levels and Factors. The Art of Teaching English as a Foreign Language (TATEFL), 5(1), 67–76. https://doi.org/https://doi.org/10.36663/tatefl.v5i1.691
- Wahyuni, S. (2017). The Effect of Different Feedback on Writing Quality of College Students with Different Cognitive Styles. Dinamika Ilmu, 17(1), 39–58. https://doi.org/10.21093/di.v17i1.649
- Werdiningsih, I., Marzuki, & Rusdin, D. (2024). Balancing AI and authenticity: EFL students’ experiences with ChatGPT in academic writing. Cogent Arts & Humanities, 11(1), 2392388. https://doi.org/10.1080/23311983.2024.2392388
- Wiboolyasarin, W., Wiboolyasarin, K., Suwanwihok, K., Jinowat, N., & Muenjanchoey, R. (2024). Synergizing collaborative writing and AI feedback: An investigation into enhancing L2 writing proficiency in wiki-based environments. Computers and Education: Artificial Intelligence, 6, 100228. https://doi.org/https://doi.org/10.1016/j.caeai.2024.100228
- Yu, S., Zheng, Y., Jiang, L., Liu, C., & Xu, Y. (2021). “I even feel annoyed and angry”: Teacher emotional experiences in giving feedback on student writing. Assessing Writing, 48, 100528. https://doi.org/https://doi.org/10.1016/j.asw.2021.100528
- Yunus, M. M., & Chien, C. H. (2016). The Use of Mind Mapping Strategy in Malaysian University English Test (MUET) Writing. Creative Education, 07(04), 619–626. https://doi.org/10.4236/ce.2016.74064
- 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), 1–23. https://doi.org/10.29140/tltl.v6n3.1482