ע 129 עידית גת , מאיה אושר , מירי ברק Chen, R., Lee, V. R., & G Lee, M. (2025). A cross-sectional look at teacher reactions, worries, and professional development needs related to generative AI in an urban school district. Education and Information Technologies, 1-38. https://doi.org/10.1007/s10639-025-13350-w Chiu, T. K. (2025). Developing intelligent-TPACK (I-TPACK) framework from unpacking AI literacy and competency: implementation strategies and future research direction. Interactive Learning Environments, 33(7), 4189–4192. https://doi.org/10.1080/10494820.2025.2545053 Chang, Y., Wang, X., Wang, J., Wu, Y., Yang, L., Zhu, K., ... & Xie, X. (2024). A survey on the evaluation of large language models. ACM Transactions on Intelligent Systems and Technology, 15(3), 1-45. Feldman-Maggor, Y., Blonder, R., & Alexandron, G. (2025). Perspectives of generative AI in chemistry education within the TPACK framework. Journal of Science Education and Technology, 34(1), 1-12. https://doi.org/10.1007/s10956-024-10147-3 Hsieh, H. F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277-1288. Kohen-Vacs, D., Usher, M. & Jansen, M. Integrating Generative AI into Programming Education: Student Perceptions and the Challenge of Correcting AI Errors. Int J Artif Intell Educ 35, 3166-3184 (2025). https://doi.org/10.1007/s40593-025-00496-4 Karataş, F., Eriçok, B., & Tanrikulu, L. (2025). Reshaping curriculum adaptation in the age of artificial intelligence: Mapping teachers' AI‐driven curriculum adaptation patterns. British Educational Research Journal, 51(1), 154-180. https://doi.org/10.1002/berj.4068 Lee, S., & Song, K. S. (2024). Teachers' and students' perceptions of AI-generated concept explanations: Implications for integrating generative AI in computer science education. Computers and Education: Artificial Intelligence, 7, 100283. Lan, Y. J., & Chen, N. S. (2024). Teachers' agency in the era of LLM and generative AI. Educational Technology & Society, 27(1), I-XVIII. https://www.jstor.org/stable/48754837 Mahowald, K., Ivanova, A. A., Blank, I. A., Kanwisher, N., Tenenbaum, J. B., & Fedorenko, E. (2024). Dissociating language and thought in large language models. Trends in Cognitive Sciences, 28(6), 517-540. Mason, M. (2000). Teachers as critical mediators of knowledge. Journal of Philosophy of Education, 34(2), 343-352. Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers' AI digital competencies and twenty-first century skills in the post-pandemic world. Educational Technology Research and Development, 71(1), 137-161. Rodgers, C., & Skelton, J. (2014). Professional Development and Mentoring in Support of Teacher Retention. Journal on School Educational Technology, 9(3), 1-11. Shulman, L. S. (1986). Those who understand: A conception of teacher knowledge. American Educator, 10(1). Thanh, B. N., Vo, D. T. H., Nhat, M. N., Pham, T. T. T., Trung, H. T., & Xuan, S. H. (2023). Race with the machines: Assessing the capability of generative AI in solving authentic assessments. Australasian Journal of Educational Technology, 39(5), 59-81 . https://doi.org/10.14742/ajet.8902 Usher, M., Barak, M. & Erduran, S. What role should higher education institutions play in fostering AI ethics? Insights from science and engineering graduate students. IJ STEM Ed 12, 51 (2025). https://doi.org/10.1186/s40594-025-00567-x Vangrieken, K., Dochy, F., & Raes, E. (2016). Team learning in teacher teams: Team entitativity as a bridge between teams-in-theory and teams-in-practice. European Journal of Psychology of Education, 31(3), 275-298. Zhai, X., Nyaaba, M., & Ma, W. (2025). Can generative AI and ChatGPT outperform humans on cognitive-demanding problem-solving tasks in science?. Science & Education, 34(2), 649-670. https://doi.org/10.1007/s11191-024-00496-1
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