Toward AI-PCK: Reconceptualizing Pedagogical Content Knowledge Through EFL Teachers' Experiences with Artificial Intelligence

Adeshola, I., & Adepoju, A. P. (2024). The opportunities and challenges of ChatGPT in education. Interactive Learning Environments, 32(10), 6159-6172. https://doi.org/10.1080/10494820.2023.2253858

Azimi, S. (2025). Personalized learning: The impact of AI on student learning and the role of teachers. Quarterly Journal of Strategic Research in Education, 5(47), 445-458.

https://civilica.com/doc/2448949 [Text in Persian]

Banihashem, S. K., Bond, M., Bergdahl, N., Khosravi, H., & Noroozi, O. (2025). A systematic mapping review at the intersection of AI and self-regulated learning. International Journal of Educational Technology in Higher Education, 22(1), 50. https://doi.org/10.1186/s41239-025-00548-8

Belkina, M., Daniel, S., Nikolic, S., Haque, R., Lyden, S., Neal, P., ... & Hassan, G. M. (2025). Implementing generative AI (GenAI) in higher education: A systematic review of case studies. Computers and Education: Artificial Intelligence, 8, 100407. https://doi.org/10.1016/j.caeai.2025.100407

Bergdahl, N., & Sjöberg, J. (2025). Attitudes, perceptions and AI self-efficacy in K 12 education. Computers and Education: AI, 8, 100358. https://doi.org/10.1016/j.caeai.2024.100358

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa

Bulger, M., & Mayer-Schönberger, V. (2018). Regulating the future: Understanding the societal impacts of AI. SSRN Electronic Journal.

Çelik, İ. (2023). Towards intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138, 107468. https://doi.org/10.1016/j.chb.2022.107468

Chen, T. S., & Hsieh, Y. H. (2020). Factors affecting the adoption of AI in English learning: A preliminary study. Smart Learning Environments, 7(1), 1-13.

Choi, S., Jang, Y., & Kim, H. (2023). Influence of pedagogical beliefs and perceived trust on teachers' acceptance of educational artificial intelligence tools. International Journal of Human-Computer Interaction, 39(4), 910-922. https://doi.org/10.1080/10447318.2022.2049145

Creely, E., & Carabott, K. (2025). Teaching and learning with AI: An integrated AI-oriented pedagogical model. The Australian Educational Researcher, 52(6), 4633-4654. https://doi.org/10.1007/s13384-025-00913-6

Daher, R. (2025). Integrating AI literacy into teacher education: A critical perspective paper. Discover Artificial Intelligence, 5(1), 217. https://doi.org/10.1007/s44163-025-00475-7

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

Esfandiari, Sh., & Ghamari, P. (2025). A systematic review of the impact of generative artificial intelligence models (ChatGPT and Gemini) on English language teaching (ELT): Opportunities and challenges. Journal of Foreign Language Research, 14(4), 611-641. https://doi.org/10.22059/jflr.2025.386926.1173 

Galindo-Dominguez, H., Delgado, N., Losada, D., & Etxabe, J. -M. (2024). An analysis of the use of artificial intelligence in education in Spain: The in-service teacher's perspective. Journal of Digital Learning in Teacher Education, 40(1), 41-56. https://doi.org/10.1080/21532974.2023.2284726

Gentile, M., Città, G., Perna, S., & Allegra, M. (2023). Do we still need teachers? Navigating the paradigm shift of the teacher's role in the AI era. Frontiers in Education, 8(1), 1161777. https://doi.org/10.3389/feduc.2023.1161777

Golnazari, A., & Farahian, M. (2026). EFL instructors’ AI competency: Scale development and validation. Interdisciplinary Studies in English Language Teaching, 4(1), 208-229. https://doi.org/10.22080/iselt.2026.30020.1120  

Hary, A., & Sayudin, S. (2023). Role of AI in education. Interdiciplinary Journal and Hummanity (INJURITY), 2(3), 260-268. https://radensa.ru/wp-content/uploads/2024/05/Role_of_AI_in_Education.pdf

Holmes, W., & Miao, F. (2023). Guidance for generative AI in education and research. UNESCO Publishing. https://doi.org/10.54675/EWZM9535

Hoya, F., Mah, D. K., Prilop. C. N., Jacobsen, L. J., & Weber, K. E. (2024). Pre-service teachers' AI usage: The effects of perceived usefulness, subjective norm, behavioral intention, and self-efficacy. https://doi.org/10.31219/osf.io/284gk

Kelley, M., & Wenzel, T. (2025). Advancing artificial intelligence literacy in teacher education through professional partnership inquiry. Education Sciences, 15(6), 659. https://doi.org/10.3390/educsci15060659

Koehler, M., & Mishra, P. (2009). What is technological pedagogical content knowledge (TPACK)?. Contemporary Issues in Technology and Teacher Education, 9(1), 60-70. https://www.learntechlib.org/d/29544/

Lan, Y. (2024). Through tensions to identity-based motivations: Exploring teacher professional identity in Artificial Intelligence-enhanced teacher training. Teaching and Teacher Education. 151, 104736. https://doi.org/10.1016/j.tate.2024.104736

Lee, C. C., & Low, M. Y. H. (2024). Using genAI in education: The case for critical thinking. Frontiers in Artificial Intelligence, 7, 1452131. https://doi.org/10.3389/frai.2024.1452131 

Levine, T. H., & Turner, A. C. (2020). Pedagogical content knowledge in action: The intersection of teacher knowledge, student thinking, and instruction. Teaching and Teacher Education, 89, 102989. https://doi.org/10.1016/j.tate.2019.102989

Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2023). Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators. The International Journal of Management Education, 21(2), 100790. https://doi.org/10.1016/j.ijme.2023.100790

Malterud, K., Siersma, V. D., & Guassora, A. D. (2016). Sample size in qualitative interview studies: Guided by information power. Qualitative Health Research, 26(13), 1753-1760. https://doi.org/10.1177/1049732315617444

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

Morris, M. R. (2020). AI and accessibility. Communications of the ACM, 63(6), 35-37. https://doi.org/10.1145/3356727

Ng, D. T. K., Chan, E. K. C., & Lo, C. K. (2025). Opportunities, challenges and school strategies for integrating generative AI in education. Computers and Education: Artificial Intelligence, 8, 100373. https://doi.org/10.1016/j.caeai.2025.100373

Oved, O., & Alt, D. (2025). Teachers’ technological pedagogical content knowledge (TPACK) as a precursor to their perceived adopting of educational AI tools for teaching purposes. Education and Information Technologies, 30(10), 14095-14121. https://doi.org/10.1007/s10639-025-13371-5

Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers & Education: Artificial Intelligence, 2, Article 100020. https://doi.org/10.1016/j.caeai.2021.100020

Pashaee, S., Karimi, J., Abbaszadeh, M., & Golmohammadi, H. (2025). Challenges and opportunities of artificial intelligence in higher education from the perspective of sport sciences researchers. Research in Educational Sport, 13(40), 57-78. https://doi.org/10.22089/res.2025.17597.2601 [Text in Persian]

Park, S., & Oliver, J. S. (2008). Revisiting the conceptualization of pedagogical content knowledge (PCK): PCK as a conceptual tool to understand teachers as professionals. Research in Science Education, 38(3), 261-284. https://doi.org/10.1007/s11165-007-9049-6

Prilop, C. N., Mah, D. K., Jacobsen, L. J., Hansen, R. R., Weber, K. E., & Hoya, F. (2025). Generative AI in teacher education: Educators’ perceptions of transformative potentials and the triadic nature of AI literacy explored through AI-enhanced methods. Computers and Education: Artificial Intelligence, 100471. https://doi.org/10.1016/j.caeai.2025.100471

Rahman, M. M., & Watanobe, Y. (2023). ChatGPT for education and research: Opportunities, threats, and strategies. Applied Sciences, 13(9), 5783. https://doi.org/10.3390/app13095783

Rosenberg, J. M., & Koehler, M. J. (2015). Context and technological pedagogical content knowledge (TPACK): A systematic review. Journal of Research on Technology in Education, 47(3), 186-210. https://doi.org/10.1080/15391523.2015.1052663

Russell, S., & Norvig, P. (2010). Artificial intelligence: A modern approach (3rd ed.). Prentice-Hall.

Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4-14. https://doi.org/10.3102/0013189X015002004

Song, Z., Lai, C., Huang, X., & Lin, C. H. (2026). What teachers discuss and how they perceive and feel: Topic modeling and sentiment analysis of a generative artificial intelligence learning group on Facebook. Computers & Education, 105654. https://doi.org/10.1016/j.compedu.2026.105654

Sperling, K., Stenberg, C. J., McGrath, C., Åkerfeldt, A., Heintz, F., & Stenliden, L. (2024). In search of artificial intelligence (AI) literacy in teacher education: A scoping review. Computers and Education Open, 6, 100169. https://doi.org/10.1016/j.caeo.2024.100169

Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in education: AIEd for personalised learning pathways. Electronic Journal of e-Learning, 20(5), 639-653. http://files.eric.ed.gov/fulltext/EJ1373006.pdf

Taşçı, S., & Tunaz, M. (2024). Opportunities and challenges in AI-assisted language teaching: Perceptions of pre-service EFL teachers. Araştırma Ve Deneyim Dergisi, 9(2), 74-83. https://doi.org/10.47214/adeder.1575897

Viberg, O., Cukurova, M., Feldman-Maggor, Y., Alexandron, G., Shirai, S., Kanemune, S., ... & Kizilcec, R. F. (2025). What explains teachers’ trust in AI in education across six countries?. International Journal of Artificial Intelligence in Education, 35(3), 1288-1316. https://doi.org/10.1007/s40593-024-00433-x

Wei, L. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14, 1261955. https://doi.org/10.3389/fpsyg.2023.1261955

Yao, N., & Wang, Q. (2024). Factors influencing pre-service special education teachers’ intention toward AI in education: Digital literacy, teacher self-efficacy, perceived ease of use, and perceived usefulness. Heliyon, 10(14). https://doi.org/10.1016/j.heliyon.2024.e34894