Unpacking the role of AI in transforming English language teacher professionalism
DOI:
https://doi.org/10.29329/pedper.2025.120Keywords:
ChatGPT, AI, teacher professional development, English language teachersAbstract
Since its launch in November 2022, Chat-Generative Pre-trained Transformer, i.e., ChatGPT, as an advanced artificial intelligence-powered chatbot simulating human interaction and offering tailored feedback, has provoked mixed feelings in education. To promote its potential pedagogical relevance, its role from the perspectives of English language teachers needs to be explored further. Thus, the current study aims to investigate teachers’ behavior patterns, perceptions, and suggestions about the role of ChatGPT in developing teacher professionalism. Accordingly, a case study was carried out involving 11 graduate students pursuing a degree in English Language Teaching (ELT). While two participants had recently completed their pre-service teacher training and were not actively teaching at the time of the study, the remaining participants were in-service English language teachers employed in diverse educational contexts, including public schools and higher education institutions. A self-administered written survey with ten items was utilized to gather the qualitative data, which was analyzed through manual thematic content analysis. The participants’ self-reports illustrated varied instrumental genesis of ChatGPT that requires teachers to be active users rather than passive recipients. Still, they remained conscious of the numerous inherent challenges, limitations, and ethical concerns raised in existing research, in light of which the participants offered suggestions to mitigate those challenges. The study concludes by suggesting AI-empowered teacher professional development that emphasizes teacher agency rather than positioning teachers as mere recipients of ChatGPT outcomes.
References
Arefian, M. H., Çomoğlu, I., & Dikilitaş, K. (2024). Understanding EFL teachers’ experiences of ChatGPT-driven collaborative reflective practice through a community of practice lens. Innovation in Language Learning and Teaching, 1-16. https://doi.org/10.1080/17501229.2024.2412769
Aydın-Yıldız, T. (2024). Exploring the impact of ChatGPT on improving 21st-century skills for future English teachers during lesson planning. Computers in the Schools, 1–24. https://doi.org/10.1080/07380569.2024.2429534
Bijker, R., Merkouris, S. S., Dowling, N. A., & Rodda, S. N. (2024). ChatGPT for Automated qualitative research: content analysis. Journal of Medical Internet Research, 26, e59050.
Brandão, A., Pedro, L., & Zagalo, N. (2024). Teacher professional development for a future with generative artificial intelligence–an integrative literature review. Digital Education Review, (45), 151-157.
Bryman, A. (2012). Social research methods. Oxford University Press.
Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends 66, 616–630 https://doi.org/10.1007/s11528-022-00715-y
Karataş, F., Abedi, F.Y., Ozek Gunyel, F., Karadeniz, D., & Kuzgun, Y. (2024). Incorporating AI in foreign language education: An investigation into ChatGPT’s effect on foreign language learners. Education and Information Technologies, 29, 19343–19366. https://doi.org/10.1007/s10639-024-12574-6
Kartal, G. (2023). Contemporary language teaching and learning with ChatGPT. Contemporary Research in Language and Linguistics, 1(1). https://doi.org/10.62601/crll.v1i1.10
Kasneci, E., Seßler, K., Kuechemann, S., Bannert, M., & Dementieva, D., Fischer, Frank & Gasser, Urs & Groh, Georg & Günnemann, Stephan & Hüllermeier, Eyke & Krusche, Stephan & Kutyniok, Gitta & Michaeli, Tilman & Nerdel, Claudia & Pfeffer, Juergen & Poquet, Oleksandra & Sailer, Michael & Schmidt, Albrecht & Seidel, Tina & Kasneci, Gjergji. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103. https://doi.org/10.1016/j.lindif.2023.102274
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 54(2), 537-550. https://doi.org/10.1177/00336882231162868
Lin, X. (2024). Exploring the role of ChatGPT as a facilitator for motivating self-directed learning among adult learners. Adult Learning, 35(3), 156-166. https://doi.org/10.1177/10451595231184928
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017-1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
Özdemir-Çağatay, S. (2023). Examining the use of ChatGPT in language teaching: Teachers' experiences and perceptions. In G. Kartal (Ed.), Transforming the language teaching experience in the age of AI (pp1-24). IGI Global.
Tapan-Broutın, M. S., (2024). Exploring mathematics teacher candidates’ instrumentation process of generative artificial intelligence for developing lesson plans. Yükseköğretim Dergisi, 14(1), 165-176. https://doi.org/10.53478/yuksekogretim.1347061
Tlili, A., Shehata, B., Adarkwah, M.A., Bozkurt, A., Hickey, D.T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments 10. https://doi.org/10.1186/s40561-023-00237-x
Trust, T., Whalen, J. & Mouza, C. (2023). Editorial: ChatGPT: Challenges, opportunities, and implications for teacher education. Contemporary Issues in Technology and Teacher Education, 23(1), 1-23. https://www.learntechlib.org/primary/p/222408/
Ulla, M. B., Perales, W. F., & Busbus, S. O. (2023). ‘To generate or stop generating response’: Exploring EFL teachers’ perspectives on ChatGPT in English language teaching in Thailand. Learning: Research and Practice, 9(2), 168-182. https://doi.org/10.1080/23735082.2023.2257252
Yin, R. K. (2018). Case study research and applications: Design and methods. (6th ed.). Sage.
Wachinger, J., Bärnighausen, K., Schäfer, L. N., Scott, K., & McMahon, S. A. (2024). Prompts, pearls, imperfections: Comparing ChatGPT and a human researcher in qualitative data analysis. Qualitative Health Research, 10497323241244669.
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Şakire Erbay Çetinkaya, Servet Çelik

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial: You may not use the material for commercial purposes.
NoDerivatives: If you remix, transform, or build upon the material, you may not distribute the modified material.
Pedagogical Perspective retains the commercial rights of this article.

