Research Article

Generative AI as a Learning Partner or Pedagogical Challenge? Insights from Pre-service Teachers

Volume: 39 Number: 2 August 5, 2026
TR EN

Generative AI as a Learning Partner or Pedagogical Challenge? Insights from Pre-service Teachers

Abstract

This study investigates how pre-service teachers experience generative artificial intelligence tools in their learning processes and how they plan to integrate these technologies into their future teaching practices. The study employed a qualitative phenomenological design and was conducted with 28 pre-service teachers enrolled in the English language teaching program of a public university in Türkiye. Semi-structured online interviews were carried out, and the data were analyzed through content analysis. Coding was conducted independently by two coders, achieving a high level of inter-rater agreement. The findings reveal that pre-service teachers perceive generative artificial intelligence as a supportive learning partner in areas such as time management, idea development, linguistic accuracy, and self-regulation. However, they also highlighted risks such as over-reliance, diminished creativity, ethical concerns, and the generation of inaccurate information. The participants emphasized that while generative artificial intelligence may serve as a complementary tool in learning processes, classroom integration requires transparency, critical verification, and active teacher guidance as essential conditions. The originality of the study lies in its holistic exploration of pre-service teachers’ experiences with generative artificial intelligence across pedagogical, ethical, and professional identity dimensions. These findings provide qualitative evidence for the relatively underexplored perspectives of pre-service teachers, thereby offering a new lens for ongoing debates on the role of generative artificial intelligence in teacher education.

Keywords

Supporting Institution

No funding was received from any institution or organization for the conduct of the study.

Ethical Statement

This study was approved by the Ethics Committee of Trabzon University, Social and Human Sciences Scientific Research and Publication Ethics Board, with the decision dated August 15, 2025 and numbered 2025-8/2.8. Throughout all stages of the study — from planning and implementation to data collection and analysis — all ethical principles specified in the “Higher Education Institutions Scientific Research and Publication Ethics Directive” were strictly followed. None of the actions defined under the section “Scientific Research and Publication Ethics Violations” of the directive were carried out. During the writing process, all scientific, ethical, and citation principles were observed, and no manipulation or falsification was made on the collected data. This manuscript has not been submitted to any other academic publication medium for evaluation.

References

  1. Bae, H., Hur, J., Park, J., Choi, G. W., & Moon, J. (2024). Pre-service Teachers’ Dual Perspectives on Generative AI: Benefits, Challenges, and Integrating into Teaching and Learning. Online Learning, 28(3). https://doi.org/10.24059/olj.v28i3.4543
  2. Bayraktar Balkir, N., & Zehir Topkaya, E. (2025). Evolving Perceptions of AI Use and Academic Integrity: Insights from EFL Learners in Turkish Higher Education. Journal of Academic Ethics, 23, 1879–1896. https://doi.org/10.1007/s10805-025-09632-0
  3. Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches. Sage Publications.
  4. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
  5. Derakhshan, A. (2025). Tracking the effects of Gemini as a GenAI tool on L2 learners’ writing proficiency and anxiety: Latent growth curve modeling approach. The Asia-Pacific Education Researcher. https://doi.org/10.1007/s40299-025-01042-5 Engeström, Y. (1999). Activity theory and individual and social transformation. In Y. Engeström, R. Miettinen, & R.-L. Punamäki (Eds.), Perspectives on activity theory (pp. 19–38). Cambridge University Press. https://doi.org/10.1017/CBO9780511812774.003
  6. Farhi, F., Jeljeli, R., Aburezeq, I., Dweikat, F. F., Al-Shami, S. A., & Slamene, R. (2023). Analyzing the students’ views, concerns, and perceived ethics about ChatGPT usage. Computers and Education: Artificial Intelligence, 5, 100180. https://doi.org/10.1016/j.caeai.2023.100180
  7. Gamlem, S. M., McGrane, J., Brandmo, C., Moltudal, S., Sun, S. Z., & Hopfenbeck, T. N. (2025). Exploring pre-service teachers’ attitudes and experiences with generative AI: a mixed methods study in Norwegian teacher education. Educational Psychology, 1-25. https://doi.org/10.1080/01443410.2025.2528663 Guo, K., Li, Y., Li, Y., & Chu, S. K. W. (2024). Understanding EFL students’ chatbot assisted argumentative writing: An activity theory perspective. Education and Information Technologies, 29(1), 1–20. https://doi.org/10.1007/s10639-023-12230-5
  8. Hadan, H., Wang, D. M., Mogavi, R. H., Tu, J., Zhang-Kennedy, L., & Nacke, L. E. (2024). The great AI witch hunt: Reviewers’ perception and (Mis) conception of generative AI in research writing. Computers in Human Behavior: Artificial Humans, 2(2), 100095. https://doi.org/10.1016/j.chbah.2024.100095

Details

Primary Language

English

Subjects

Instructional Technologies, Learning Sciences

Journal Section

Research Article

Publication Date

August 5, 2026

Submission Date

October 10, 2025

Acceptance Date

December 19, 2025

Published in Issue

Year 2026 Volume: 39 Number: 2

APA
Kokoç, M. (2026). Generative AI as a Learning Partner or Pedagogical Challenge? Insights from Pre-service Teachers. Journal of Uludag University Faculty of Education, 39(2), 463-477. https://doi.org/10.19171/uefad.1799876
AMA
1.Kokoç M. Generative AI as a Learning Partner or Pedagogical Challenge? Insights from Pre-service Teachers. Journal of Uludag University Faculty of Education. 2026;39(2):463-477. doi:10.19171/uefad.1799876
Chicago
Kokoç, Mehmet. 2026. “Generative AI As a Learning Partner or Pedagogical Challenge? Insights from Pre-Service Teachers”. Journal of Uludag University Faculty of Education 39 (2): 463-77. https://doi.org/10.19171/uefad.1799876.
EndNote
Kokoç M (August 1, 2026) Generative AI as a Learning Partner or Pedagogical Challenge? Insights from Pre-service Teachers. Journal of Uludag University Faculty of Education 39 2 463–477.
IEEE
[1]M. Kokoç, “Generative AI as a Learning Partner or Pedagogical Challenge? Insights from Pre-service Teachers”, Journal of Uludag University Faculty of Education, vol. 39, no. 2, pp. 463–477, Aug. 2026, doi: 10.19171/uefad.1799876.
ISNAD
Kokoç, Mehmet. “Generative AI As a Learning Partner or Pedagogical Challenge? Insights from Pre-Service Teachers”. Journal of Uludag University Faculty of Education 39/2 (August 1, 2026): 463-477. https://doi.org/10.19171/uefad.1799876.
JAMA
1.Kokoç M. Generative AI as a Learning Partner or Pedagogical Challenge? Insights from Pre-service Teachers. Journal of Uludag University Faculty of Education. 2026;39:463–477.
MLA
Kokoç, Mehmet. “Generative AI As a Learning Partner or Pedagogical Challenge? Insights from Pre-Service Teachers”. Journal of Uludag University Faculty of Education, vol. 39, no. 2, Aug. 2026, pp. 463-77, doi:10.19171/uefad.1799876.
Vancouver
1.Mehmet Kokoç. Generative AI as a Learning Partner or Pedagogical Challenge? Insights from Pre-service Teachers. Journal of Uludag University Faculty of Education. 2026 Aug. 1;39(2):463-77. doi:10.19171/uefad.1799876


Journal of Uludag University Faculty of Education ©2025 by Bursa Uludag University is licensed under CC BY-NC 4.0