56 ע אימוץ בינה מלאכותית יוצרת ) GenAI ( לצו רכי הוראה בקרב מורים Molina, E., Cobo, C., Pineda, J., & Rovner, H. (2024). AI revolution in education: What you need to know. In Digital Innovations in Education. World Bank. Ng, D. T. K., Leung, J. K. L., Su, M. J., Yim, I. H. Y., Qiao, M. S., & Chu, S. K. W. (2023). AI literacy in K-16 classrooms. Springer International Publishing AG. OECD (2024), Using AI in the workplace: Opportunities, risks and policy responses, OECD Artificial Intelligence Papers, No. 11, OECD Publishing, Paris, https://doi.org/10.1787/73d417f9-en. Oyasor, E. I. (2024). Factors Influencing Attitude and Intention to use AI Chatbot. Reviews of Management Sciences, 6(1), 75-98. Saha, P., Hossain, M. S., Roy, N. C., Masud, A. A., & Amin, R. (2025). Unlocking the power of AI in education: students' intentions and AI tool use driving learning success in an emerging economy. On the Horizon: The International Journal of Learning Futures. Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education. Computers & education, 128, 13-35. Strzelecki, A. (2023). To use or not to use ChatGPT in higher education? A study of students' acceptance and use of technology. Interactive Learning Environments, pp. 1-14. Strzelecki, A., & ElArabawy, S. (2024). Investigation of the moderation effect of gender and study level on the acceptance and use of generative AI by higher education students: Comparative evidence from Poland and Egypt. British Journal of Educational Technology, 55(3), 1209-1230. Venkatesh, V., and Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. Venkatesh, V., Thong, J. Y., and Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, pp. 157-178. Varsik, S. and L. Vosberg (2024), The potential impact of Artificial Intelligence on equity and inclusion in education, OECD Artificial Intelligence Papers, No. 23, OECD Publishing, Paris, https://doi.org/10.1787/15df715b-en. Xu, S., Chen, P., & Zhang, G. (2024). Exploring Chinese University Educators' Acceptance and Intention to use AI tools: An application of the UTAUT2 model. SAGE Open, 14(4), 21582440241290013. Yee, M. L. S., & Abdullah, M. S. (2021). A review of UTAUT and extended model as a conceptual framework in education research. Jurnal Pendidikan Sains Dan Matematik Malaysia, 11, 1-20. Zaim, M., Arsyad, S., Waluyo, B., Ardi, H., Al Hafizh, M., Zakiyah, M., ... & Hardiah, M. (2024). AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory. Computers and Education: Artificial Intelligence, 7, 100335. Zhai, X. (2024). Transforming teachers' roles and agencies in the era of generative ai: Perceptions, acceptance, knowledge, and practices. Journal of Science Education and Technology, 1-11.
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