A qualitative study on ELT instructors’ firsthand experiences with AI integration in English writing classes

Authors

DOI:

https://doi.org/10.29329/pedper.2025.121

Keywords:

AI in language education, Scholarly writing, Ethical dilemmas, Educator training, Instructors’ experiences, Pedagogical benefits

Abstract

The integration of Artificial Intelligence (AI) tools in language classes has significantly revolutionized English writing classes by offering tools for grammar correction, idea and model text generation, and automated feedback.  Research studies have reported that utilization of such tools can streamline drafting processes, increase personalized learning for students and reduce grading burdens for instructors. However, these tools can also pose pedagogical and ethical dilemmas, especially in contexts where both instructors and students are not well informed. Therefore, the current study aimed to examine the lived experiences of English writing instructors in Turkish universities concerning the implementation of artificial intelligence (AI) tools in their classes. 8 participants working in 8 different public universities which are located in 8 different regions were selected via purposive sampling. They were interviewed through online meetings and the obtained data was subjected to qualitative analysis. The analysis uncovered significant themes including the educational advantages of AI (e.g., efficiency in feedback and material generation), ethical dilemmas (e.g., over-reliance and plagiarism), and institutional obstacles with lack of policy on in service education. The current research demonstrated that although AI alleviates instructors' burdens and improves student engagement, instructors still feel not sufficiently qualified to integrate these tools into their practices. They were also found to be concerned about the improper usage of these tools which can pose substantial concerns related to academic integrity and the cultivation of critical thinking skills. Instructors utilize techniques such as in-class writing and plagiarism detection to reduce hazards, however they indicate a necessity for systematic instruction on successful AI integration and ethical standards.

References

Ahn, J., Kim, Y., & Song, H. (2023). AI and plagiarism in academic writing: Emerging risks and pedagogical implications. Computers & Education, 197, 104755. https://doi.org/10.1016/j.compedu.2023.104755

Alneyadi, S., & Wardat, Y. (2023). ChatGPT: Revolutionizing student achievement in the electronic magnetism unit for eleventh-grade students in Emirates schools. Contemporary Educational Technology, 15(4), 448. https://doi.org/10.30935/cedtech/13417

Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 43. https://doi.org/10.1186/s41239-023-00411-8

Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228–239. https://doi.org/10.1080/14703297.2023.2190148

Darling-Hammond, L., Hyler, M. E., & Gardner, M. (2017). Effective teacher professional development. Learning Policy Institute. https://learningpolicyinstitute.org/product/effective-teacher-professional-development-report

Hopfenbeck, T. N., Zhang, Z., Sun, S. Z., Robertson, P., & McGrane, J. A. (2023). Challenges and opportunities for classroom-based formative assessment and AI: A perspective article. Frontiers in Education, 8, Article 1270700. https://doi.org/10.3389/feduc.2023.1270700

Hossain, M. K., & Al Younus, M. A. (2025). Teachers’ perspectives on integrating ChatGPT into EFL writing instruction. TESOL Communications, 4(1), 41–57. https://doi.org/10.58304/tc.20250103

Huang, Y., Spector, J. M., & Yang, J. (2023). AI in ELT teacher education: Developing a skill-aligned training framework. British Journal of Educational Technology, 54(1), 70–89. https://doi.org/10.1111/bjet.13241

Kasneci, E., Sessler, K., Küchenhoff, H., Bannert, M., Dementieva, D., Fischer, F., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Kim, M. K., & Kim, N. J. (2022). AI-supported scaffolding for writing academic arguments. In Proceedings of the 16th International Conference of the Learning Sciences (ICLS 2022) (pp. 1129–1132). International Society of the Learning Sciences.

Kohnke, L., Zou, D., & Zhang, R. (2023). Artificial intelligence in language education: Affordances and challenges. Language Learning & Technology, 27(2), 210–229. https://doi.org/10.10125/44724

Marzuki, Widiati, U., Rusdin, D., Darwin, & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2), 1–17. https://doi.org/10.1080/2331186X.2023.2236469

Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054.

Selwyn, N. (2023). Should robots replace teachers? AI and the future of education. Polity Press.

Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18(1), 54. https://doi.org/10.1186/s41239-021-00292-9

Sun, Y. (2023). Exploring LLM use among L2 novice writers: Opportunities and cognitive pitfalls. Language Learning & Technology, 27(3), 105–124. https://doi.org/10.10125/44735

Van Manen, M. (2007). Phenomenology of practice. Phenomenology & Practice, 1(1), 11–30.

Wu, Y. (2024). Critical thinking pedagogics design in an era of ChatGPT and other AI tools—Shifting from teaching “what” to teaching “why” and “how”. Journal of Education and Development, 8(1), 1. https://doi.org/10.20849/jed.v8i1.1404

Xu, L. (2020). The dilemma and countermeasures of AI in educational application. In 2020 4th International Conference on Computer Science and Artificial Intelligence (pp. 289–294).

Yang, K., Raković, M., Liang, Z., Yan, L., Zeng, Z., Fan, Y., … Chen, G. (2024). Modifying AI, enhancing essays: How active engagement with generative AI boosts writing quality (arXiv:2412.07200). arXiv. http://arxiv.org/abs/2412.07200

Yılmaz-Virlan, A., & Tomak, B. (2025). AI tools for writing: A Q method study with Turkish instructors of English. Education and Information Technologies. Advance online publication. https://doi.org/10.1007/s10639-025-13455-2

Yuan, M., & Yu, Z. (2024). Bridging the AI pedagogy readiness gap in teacher education. Computers & Education, 205, 104937. https://doi.org/10.1016/j.compedu.2023.104937

Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: A systematic review. Smart Learning Environments, 11, 28. https://doi.org/10.1186/s40561-024-00316-7

Downloads

Published

30-12-2025

How to Cite

Bayraktar Çepni, S., & Çepni, G. (2025). A qualitative study on ELT instructors’ firsthand experiences with AI integration in English writing classes. Pedagogical Perspective, 4(3), 554–569. https://doi.org/10.29329/pedper.2025.121