Identifying and Developing Teachers' Competencies in Artificial Intelligence-Supported Education

Yıl 2025, Cilt: 11 Sayı: 2, 127 - 135, 31.12.2025

Ömer Cem Karacaoğlu

https://doi.org/10.25233/ijlel.1761330

Öz

Artificial Intelligence (AI) can assist teachers in various areas such as monitoring student performance, creating personalized learning environments, and optimizing teaching materials. This study aims to determine the most critical competencies that teachers should possess regarding the use of AI in education. The research was conducted with 14 Romani and Turk scientists whose academic interests include AI. The data were collected using the Storage technique, which allowed the participants to share information without being influenced by each other's views. The findings were analyzed using content analysis and categorized under six main themes: educational planning and content development, AI utilization and integration, assessment and decision-making, student-focused strategies and personalization, technology and resource usage, and collaboration and teamwork. The results suggest that teacher competencies in AI usage are multifaceted, covering a wide range of areas including educational technology, personalization, assessment, and collaboration. These competencies are crucial for teachers to enhance their professional development and provide more effective education to students. The study offers several recommendations, including restructuring teacher education programs to integrate AI, increasing opportunities for continuous professional development, and facilitating access to digital tools and resources.

Anahtar Kelimeler

Artificial intelligence , teacher competencies , ai integration in teaching , personalized learning strategies , educational technology

Yapay Zeka Destekli Eğitimde Öğretmenlerin Yeterliliklerinin Belirlenmesi ve Geliştirilmesi

Öz

Yapay Zeka (YZ) öğretmenlere öğrenci performansını izleme, kişiselleştirilmiş öğrenme ortamları oluşturma ve öğretim materyallerini optimize etme gibi çeşitli alanlarda yardımcı olabilir. Bu çalışma, öğretmenlerin eğitimde YZ kullanımıyla ilgili sahip olması gereken en kritik yetkinlikleri belirlemeyi amaçlamaktadır. Araştırma, akademik ilgi alanları arasında YZ olan 14 Roman ve Türk bilim insanı ile gerçekleştirildi. Veriler, katılımcıların birbirlerinin görüşlerinden etkilenmeden bilgi paylaşabilmelerini sağlayan Depolama tekniği kullanılarak toplandı. Bulgular içerik analizi kullanılarak analiz edildi ve altı ana tema altında kategorize edildi: eğitim planlama ve içerik geliştirme, YZ kullanımı ve entegrasyonu, değerlendirme ve karar verme, öğrenci odaklı stratejiler ve kişiselleştirme, teknoloji ve kaynak kullanımı, işbirliği ve takım çalışması. Sonuçlar, öğretmenlerin YZ kullanımındaki yetkinliklerinin çok yönlü olduğunu ve eğitim teknolojisi, kişiselleştirme, değerlendirme ve işbirliği gibi çok çeşitli alanları kapsadığını göstermektedir. Bu yetkinlikler, öğretmenlerin mesleki gelişimlerini artırmaları ve öğrencilere daha etkili bir eğitim sunmaları için çok önemlidir. Çalışma, YZ'yi entegre etmek için öğretmen eğitimi programlarının yeniden yapılandırılması, sürekli mesleki gelişim fırsatlarının artırılması ve dijital araç ve kaynaklara erişimin kolaylaştırılması gibi çeşitli öneriler sunmaktadır.

Anahtar Kelimeler

Yapay zeka , öğretmen yeterlilikleri , öğretimde yapay zeka entegrasyonu , kişiselleştirilmiş öğrenme stratejileri , eğitim teknolojisi

Kaynakça

• Ayeni, O. O., Al Hamad, N. M., Chisom, O. N., Osawaru, B., & Adewusi, O. E. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 18(2), 261–271. https://doi.org/10.30574/gscarr.2024.18.2.0062
• Caena, F., & Redecker, C. (2019). Aligning teacher competence frameworks to 21st century challenges: The case for the European Digital Competence Framework for Educators (DigCompEdu). European Journal of Education, 54(3), 356–369. https://doi.org/10.1111/ejed.12345
• Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
• Duan, S., Zong, Y., Wang, C., Li, L., & Ji, H. (2024). The innovative model of artificial intelligence computer education under the background of educational innovation. In Proceedings of the 2nd International Scientific and Practical Conference “Innovations in Education: Prospects and Challenges of Today” (pp. 325–389). International Science Group.
• Gökdaş, İ., Karacaoğlu, Ö. C., & Özkaya, A. (2024). COVID-19 and teachers’ digital competencies: A comprehensive bibliometric and topic modeling analysis. Humanities and Social Sciences Communications, 11, Article 1740. https://doi.org/10.1057/s41599-024-04335-0
• Karacaoğlu, Ö. C. (2025). Basic skills of 21st century teachers. Australian Journal of Teacher Education, 50(1), 75–91. https://doi.org/10.14221/1835-517X.6455
• Karacaoğlu, Ö. C., & Bayrakcı, M. (2020). Introducing a new data collection tool in education: The storage technique. International Online Journal of Education and Teaching, 7(4), 1439–1451. https://files.eric.ed.gov/fulltext/EJ1271024.pdf
• Karacaoğlu, Ö. C., Karacaoğlu, D., & Özbaltan, N. (2025). Artificial intelligence-based solutions in disaster literacy training. In Proceedings of the 10th International Conference on Lifelong Education and Leadership for ALL (ICLEL 2024) (pp. 28–45). Atlantis Press. https://doi.org/10.2991/978-94-6463-686-4_5
• Kaswan, K. S., Dhatterwal, J. S., & Ojha, R. P. (2024). AI in personalized learning. In Advances in technological innovations in higher education (pp. 103–117). CRC Press.
• Lameras, P., & Arnab, S. (2021). Power to the teachers: An exploratory review on artificial intelligence in education. Information, 13(1), Article 14. https://doi.org/10.3390/info13010014
• Luckin, R., & Holmes, W. (2016). Intelligence unleashed: An argument for AI in education. University College London. https://discovery.ucl.ac.uk/id/eprint/1475756/
• Onesi-Ozigagun, O., Ololade, Y. J., Eyo-Udo, N. L., & Ogundipe, D. O. (2024). Revolutionizing education through AI: A comprehensive review of enhancing learning experiences. International Journal of Applied Research in Social Sciences, 6(4), 589–607. https://doi.org/10.51594/ijarss.v6i4.1011
• Owoc, M. L., Sawicka, A., & Weichbroth, P. (2019). Artificial intelligence technologies in education: Benefits, challenges and strategies of implementation. In IFIP International Workshop on Artificial Intelligence for Knowledge Management (pp. 37–58). Springer. https://doi.org/10.1007/978-3-030-85001-2_4
• Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO. https://hdl.handle.net/20.500.12799/6533
• Polak, S., Schiavo, G., & Zancanaro, M. (2022). Teachers’ perspective on artificial intelligence education: An initial investigation. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (pp. 1–7). https://doi.org/10.3390/systems12030068
• Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), Article 22. https://doi.org/10.1186/s41039-017-0062-8
• Pratama, M. P., Sampelolo, R., & Lura, H. (2023). Revolutionizing education: Harnessing the power of artificial intelligence for personalized learning. Klasikal: Journal of Education, Language Teaching and Science, 5(2), 350–357. https://doi.org/10.52208/klasikal.v5i2.877
• Schiff, D. (2022). Education for AI, not AI for education: The role of education and ethics in national AI policy strategies. International Journal of Artificial Intelligence in Education, 32(3), 527–563. https://doi.org/10.1007/s40593-021-00270-2
• Tan, S. (2023). Harnessing artificial intelligence for innovation in education. In Learning intelligence: Innovative and digital transformative learning strategies (pp. 335–363). Springer Nature. https://doi.org/10.1007/978-981-19-9201-8_8
• Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in education: AIEd for personalised learning pathways. Electronic Journal of e-Learning, 20(5), 639–653. https://files.eric.ed.gov/fulltext/EJ1373006.pdf
• Yau, K. W., Chai, C. S., Chiu, T. K., Meng, H., King, I., & Yam, Y. (2023). A phenomenographic approach on teacher conceptions of teaching artificial intelligence (AI) in K–12 schools. Education and Information Technologies, 28(1), 1041–1064. https://doi.org/10.1007/s10639-022-11161-x
• Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), Article 39. https://doi.org/10.1186/s41239-019-0171-0