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Feedback Literacy within Teacher Feedback vs. AI Feedback
Abstract
This study aims to investigate how the age of artificial intelligence reshapes the world as numerous individuals get feedback. Regarding this issue, exploring how students perceive, interpret, and utilize feedback given by their language instructors and AI-driven tools gains vital importance. Methodology employs a descriptive design, wherein data are collected from 52 undergraduate EFL students at a school of foreign languages at a state university in Adana-Türkiye. The data includes writing parts of the Module 2 Exit Exam, reflective diaries of the students who get feedback from their language instructors, and those who get AI-generated feedback. The survey responses are also submitted in the study in 2025-2026 Academic Year. Two types of reflective diaries are collected via e-mail organized by the researcher. Quantitative data are analyzed to identify frequencies of feedback types and their reliance with exit exam, while qualitative insights are derived from student reflections via feedback diaries. The findings reveal that students reveal growing awareness of feedback processes. They tend to value immediacy and clarity in AI feedback while still relying on human instructors for contextual and affective dimensions. The study assumes to contribute to the field by situating feedback literacy within the rapidly changing digital landscape in pedagogical implications for integrating AI-supported tools into EFL writing instruction.
Keywords
Ethical Statement
CONFLICT OF INTEREST STATEMENT
The authors declare that there is no conflict of interest in this study.
RESEARCH AND PUBLICATION ETHICS STATEMENT
The authors declare that research and publication ethics are followed in this study.
AUTHOR LIABILITY STATEMENT
The authors declare that the “Method, Manuscript, Visualization, and Research” parts of this work were done by Nermin GÖKEL, and the “Conceptual Framework, Writing Draft, Analysis, and Editing” parts of this work were done by Prof. Dr. Gülden TÜM.
GENERATIVE ARTIFICIAL INTELLIGENCE USAGE STATEMENT
The authors declare that GenAI tools (ChatGPT) were used in this study for “Language editing/checking” purposes.
References
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- Carless, D., & Boud, D. (2018). The development of student feedback literacy: Enabling uptake of feedback. Assessment & Evaluation in Higher Education, 43(8), 1315–1325. https://doi.org/10.1080/02602938.2018.1463354
- Cohen, J. (1988). Statistical power for the behavioural sciences (2th ed.). Lawrence Erlbaum Associates.
- Cui, Y., Meng, Y., Qian, X., & Tang, L. (2025). Developing a college student feedback literacy scale for the GenAI context. Assessment & Evaluation in Higher Education, 1-14. https://doi.org/10.1080/02602938.2025.2495048
- Deep, P. D., & Chen, Y. (2025). The role of AI in academic writing: Impacts on writing skills, critical thinking, and integrity in higher education. Societies, 15(9), 247. https://doi.org/10.3390/soc15090247 Hyland, K., & Hyland, F. (2019). Feedback on second language students’ writing. Language Teaching, 53(2), 139–153. https://doi.org/10.1017/S0261444819000367
- Karatay, Y., & Karatay, L. (2024). Automated writing evaluation use in second language classrooms: A research synthesis. System, 123, 103332. https://doi.org/10.1016/j.system.2024.103332
- McCarthy, K. M., Wilkerson, D., & Ashirifi, G. (2022). Student and faculty perceptions on feedback in a graduate social work distance education program. Journal of Teaching in Social Work, 42(4), 392-408. https://doi.org/10.1080/08841233.2022.2102103
- Nouara, M., & Dehbia, M. (2023). Students’ attitudes towards and teachers’ perceptions of the utilization of ChatGPT to improve students’ writing proficiency, [Unpublished Doctoral dissertation]. Mouloud Mammeri University.
Details
Primary Language
English
Subjects
Other Fields of Education (Other)
Journal Section
Research Article
Publication Date
July 15, 2026
Submission Date
January 19, 2026
Acceptance Date
May 4, 2026
Published in Issue
Year 2026 Volume: 11 Number: 2
APA
Gökel, N., & Tüm, G. (2026). Feedback Literacy within Teacher Feedback vs. AI Feedback. The Journal of Limitless Education and Research, 11(2), 473-485. https://doi.org/10.29250/sead.1867106
AMA
1.Gökel N, Tüm G. Feedback Literacy within Teacher Feedback vs. AI Feedback. J-LER. 2026;11(2):473-485. doi:10.29250/sead.1867106
Chicago
Gökel, Nermin, and Gülden Tüm. 2026. “Feedback Literacy Within Teacher Feedback Vs. AI Feedback”. The Journal of Limitless Education and Research 11 (2): 473-85. https://doi.org/10.29250/sead.1867106.
EndNote
Gökel N, Tüm G (July 1, 2026) Feedback Literacy within Teacher Feedback vs. AI Feedback. The Journal of Limitless Education and Research 11 2 473–485.
IEEE
[1]N. Gökel and G. Tüm, “Feedback Literacy within Teacher Feedback vs. AI Feedback”, J-LER, vol. 11, no. 2, pp. 473–485, July 2026, doi: 10.29250/sead.1867106.
ISNAD
Gökel, Nermin - Tüm, Gülden. “Feedback Literacy Within Teacher Feedback Vs. AI Feedback”. The Journal of Limitless Education and Research 11/2 (July 1, 2026): 473-485. https://doi.org/10.29250/sead.1867106.
JAMA
1.Gökel N, Tüm G. Feedback Literacy within Teacher Feedback vs. AI Feedback. J-LER. 2026;11:473–485.
MLA
Gökel, Nermin, and Gülden Tüm. “Feedback Literacy Within Teacher Feedback Vs. AI Feedback”. The Journal of Limitless Education and Research, vol. 11, no. 2, July 2026, pp. 473-85, doi:10.29250/sead.1867106.
Vancouver
1.Nermin Gökel, Gülden Tüm. Feedback Literacy within Teacher Feedback vs. AI Feedback. J-LER. 2026 Jul. 1;11(2):473-85. doi:10.29250/sead.1867106