Artificial intelligence (AI) is rapidly emerging as a transformative force across various sectors, including education. As AI continues to reshape the landscape of teaching and learning, it becomes essential to understand the perspectives of educators, who are at the forefront of this change. This study explores the attitudes and concerns of teachers regarding the integration of AI into educational practices. A total of 74 educators participated in the research, utilizing the Opinion Scale on Artificial Intelligence in Education to provide insights into their views. The findings reveal a generally positive outlook among teachers toward the adoption of AI in education, recognizing its potential to enhance the learning experience, streamline administrative tasks, and support personalized learning. However, the study also uncovers significant apprehensions, particularly concerning ethical issues, data privacy, and the potential loss of the human touch in teaching. These concerns underscore the complexities and challenges that come with integrating AI into educational environments. By examining both the benefits and the risks associated with AI in education, this study contributes to the broader discourse on the future of teaching and learning. It emphasizes the need for a balanced and thoughtful approach to AI implementation, one that not only maximizes the advantages of technological advancements but also ensures the protection of ethical standards and the rights of all stakeholders. As AI continues to evolve, this research highlights the importance of ongoing dialogue and collaboration among educators, policymakers, and technologists to navigate the challenges and opportunities presented by this powerful technology.

Innovations, artificial intelligence, ethics

Abell, M. (2006). Individualizing learning using intelligent technology and universally designed curricu-lum. The journal of technology, learning and assessment, 5(3).

Akgun, S., & Greenhow, C. (2022). Artificial Intelligence (AI) in Education: Addressing Societal and Ethical Challenges in K-12 Settings. In Proceedings of the 16th International Conference of the Learning Sciences-ICLS 2022, pp. 1373-1376. International Society of the Learning Sciences.

Alam, A. (2021). Possibilities and apprehensions in the landscape of artificial intelligence in education. In 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA) (pp. 1-8). IEEE.

Alam, A. (2021). Possibilities and Apprehensions in the Landscape of Artificial Intelligence in Education. 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA). https://doi.org/10.1109/iccica52458.2021.9697272

Athanassopoulos, S., Manoli, P., Gouvi, M., Lavidas, K., & Komis, V. (2023). The use of ChatGPT as a learning tool to improve foreign language writing in a multilingual and multicultural classroom. Advances in Mobile Learning Educational Research, 3(2), 818–824. https://doi.org/10.25082/amler.2023.02.009

Chiu, T. K. F., & Chai, C. (2020). Sustainable Curriculum Planning for Artificial Intelligence Education: A Self-Determination Theory Perspective. Sustainability, 12(14), 5568. https://doi.org/10.3390/su12145568

Chiu, T. K. F., Meng, H., Chai, C.-S., King, I., Wong, S., & Yam, Y. (2022). Creation and Evaluation of a Pretertiary Artificial Intelligence (AI) Curriculum. IEEE Transactions on Education, 65(1), 30–39. https://doi.org/10.1109/te.2021.3085878

Chounta, I. A., Bardone, E., Raudsep, A., & Pedaste, M. (2021). Exploring Teachers’ Perceptions of Artificial Intelligence as a Tool to Support their Practice in Estonian K-12 Education. International Journal of Artificial Intelligence in Education, 32(3), 725–755. https://doi.org/10.1007/s40593-021-00243-5

Fullan, M., Azor´ın, C., Harris, A., & Jones, M. (2023). Artificial intelligence and school leadership: challenges, opportunities and implications. School Leadership & Management, 1-8.

Fullan, M., Azor´ın, C., Harris, A., & Jones, M. (2023). Artificial intelligence and school leadership: challenges, opportunities and implications. School Leadership & Management, 1–8. https://doi.org/10.1080/13632434.2023.2246856

Hinojo-Lucena, F.-J., Aznar-D´ıaz, I., Caceres´-Reche, M.-P., & Romero-Rodr´ıguez, J.-M. (2019). Artifi-cial Intelligence in Higher Education: A Bibliometric Study on its Impact in the Scientific Literature. Education Sciences, 9(1), 51. https://doi.org/10.3390/educsci9010051

John-Mathews, J.-M. (2022). Some critical and ethical perspectives on the empirical turn of AI inter-pretability. Technological Forecasting and Social Change, 174, 121209. https://doi.org/10.1016/j.techfore.2021.121209

Karaca, A., & Kilcan, B. (2023). The Adventure of Artificial Intelligence Technology in Education: Comprehensive Scientific Mapping Analysis. Participatory Educational Research, 10(4), 144–165. https://doi.org/10.17275/per.23.64.10.4

Karakose, T., Demirkol, M., Aslan, N., Kose,¨ H., & Yirci, R. (2023). A Conversation with ChatGPT about the Impact of the COVID-19 Pandemic on Education: Comparative Review Based on Human–AI Collaboration. Educational Process International Journal, 12(3). https://doi.org/10.22521/edupij.2023.123.1

Karakose, T., Tul¨ubas¨¸, T., Papadakis, S., & Yirci, R. (2023). Evaluating the Intellectual Structure of the Knowledge Base on Transformational School Leadership: A Bibliometric and Science Mapping Analysis. Education Sciences, 13(7), 708. https://doi.org/10.3390/educsci13070708

Kim, N. J., & Kim, M. K. (2022). Teacher’s Perceptions of Using an Artificial Intelligence-Based Educational Tool for Scientific Writing. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.755914

Kim, Y. J., & Cribbie, R. A. (2017). ANOVA and the variance homogeneity assumption: Exploring a better gatekeeper. British Journal of Mathematical and Statistical Psychology, 71(1), 1–12. Portico. https://doi.org/10.1111/bmsp.12103

Ministry of National Education. (2021). Turkiye¨ Milli Egitim˘ Bakanlıgı˘ Istatistikleri. https://www.meb.gov.tr

Papadakis, S. J., Semerikov, S. O., Yechkalo, Y. V., Velychko, V. Y., Vakaliuk, T. A., Amelina, S. M., ...& Tkachuk, V. V. (2023). Advancing lifelong learning and professional development through ICT: insights from the 3L-Person 2023 workshop. In Proceedings of the 3L-Person 2023 workshop, Kryvyi Rih, Ukraine, October 25, 2023.

Papadakis, S. J., Semerikov, S. O., Yechkalo, Y. V., Velychko, V. Y., Vakaliuk, T. A., Amelina, S. M., ... & Tkachuk, V. V. (2023). Advancing lifelong learning and professional development through ICT: insights from the 3L-Person 2023 workshop. https://doi.org/10.31812/123456789/8483

Polak, S., Schiavo, G., & Zancanaro, M. (2022). Teachers’ Perspective on Artificial Intelligence Educa-tion: an Initial Investigation. CHI Conference on Human Factors in Computing Systems Extended Abstracts. https://doi.org/10.1145/3491101.3519866

Zhao, L., Wu, X., & Luo, H. (2022). Developing AI Literacy for Primary and Middle School Teachers in China: Based on a Structural Equation Modeling Analysis. Sustainability, 14(21), 14549. https://doi.org/10.3390/su142114549