Araştırma Makalesi | Açık Erişim
Anadolu Türk Eğitim Dergisi 2026, Clt. 8(1) 77-89
ss. 77 - 89 | DOI: https://doi.org/10.29329/ated.2026.1415.5
Yayın Tarihi: Haziran 29, 2026 | Görüntüleme Sayısı: 0/0 | İndirilme Sayısı: 0/0
Özet
The aim of this study is to determine the artificial intelligence (AI) literacy levels of prospective teachers studying in different disciplines and to examine whether these levels show a significant difference in terms of variables such as gender, department, grade level, and academic achievement. The study, designed using a mixed-methods approach with a focus on quantitative data, included 364 prospective teachers studying at a state university during the 2023-2024 academic year. Data were collected using the “Artificial Intelligence Literacy Scale” and an open-ended questionnaire prepared by the researchers. T-tests, ANOVA, and Pearson correlation analysis were used to analyze quantitative data, while content analysis was used to analyze qualitative data. The results showed that prospective teachers generally have a high level of AI literacy, but the “Usage” dimension was lower compared to the “Ethics” and “Awareness” dimensions. Department-based analyses revealed that candidates in quantitative departments (Mathematics and Science) had significantly higher literacy levels than those in arts and primary school departments. Furthermore, a positive, moderately significant correlation was found between academic achievement (GPA) and AI literacy. Qualitative findings indicated that candidates primarily used artificial intelligence for academic support and content creation. In light of these findings, it is recommended that department-specific AI pedagogy courses be added to the curricula of faculties of education.
Anahtar kelimeler: AI Literacy, Teacher Candidates, AI in Education, Digital Competence, Mixed Methods
APA 7th edition
Koroglu, M., Tat, M.M., & Gunduz, H.I. (2026). Determining the Artificial Intelligence Literacy Levels of Prospective Teachers. Anadolu Türk Eğitim Dergisi, 8(1), 77-89. https://doi.org/10.29329/ated.2026.1415.5
Harvard
Koroglu, M., Tat, M. and Gunduz, H. (2026). Determining the Artificial Intelligence Literacy Levels of Prospective Teachers. Anadolu Türk Eğitim Dergisi, 8(1), pp. 77-89.
Chicago 16th edition
Koroglu, Mustafa, Muhammet Mustafa Tat and Halil Ibrahim Gunduz (2026). "Determining the Artificial Intelligence Literacy Levels of Prospective Teachers". Anadolu Türk Eğitim Dergisi 8 (1):77-89. https://doi.org/10.29329/ated.2026.1415.5
Banaz, E., & Demirel, O. (2024). Türkçe Öğretmen Adaylarının Yapay Zekâ Okuryazarlıklarının Farklı Değişkenlere Göre İncelenmesi. Dokuz Eylül Üniversitesi Buca Eğitim Fakültesi Dergisi, 60, 1516-1529. https://doi.org/10.53444/deubefd.1461048
Büyüköztürk, Ş. (2023). Sosyal bilimler için veri analizi el kitabı. Pegem Akademi.
Chiu, T. K. (2021). Digital support for student engagement in blended learning based on self-determination theory. Computers in Human Behavior, 124, 106909. https://doi.org/10.1016/j.chb.2021.106909
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
Çelebi, C., Yılmaz, F., Demir, U., & Karakuş, F. (2023). Artificial intelligence literacy: An adaptation study. Instructional Technology and Lifelong Learning, 4(2), 291-306. https://doi.org/10.52911/itall.1401740
Field, A. (2018). Discovering statistics using IBM SPSS statistics. SAGE Publications.
Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education (8th ed.). McGraw-Hill.
Koehler, M. J., & Mishra, P. (2009). What is technological pedagogical content knowledge (TPACK)? Contemporary Issues in Technology and Teacher Education, 9(1), 60-70.
Laupichler, M. C., Aster, A., Schirch, J., & Raupach, T. (2022). Artificial intelligence literacy in higher education: A scoping review. Computers and Education: Artificial Intelligence, 3, 100067. https://doi.org/10.1016/j.caeai.2022.100067
Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3313831.3376727
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
Mart, M., & Kaya, G. (2024). Okul öncesi öğretmen adaylarının yapay zekâya yönelik tutumları ve yapay zekâ okur yazarlığı arasındaki ilişkinin incelenmesi. Edutech Research, 2(1), 91-109.
Miao, F., Holmes, W., Huang, R., & Ronghuai, H. (2021). AI and education: Guidance for policy-makers. UNESCO Publishing.
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2023). Conceptualizing AI Literacy: An Exploratory Review. Computers and Education: Artificial Intelligence, 2, Article 100041.
https://doi.org/10.1016/j.caeai.2021.100041
Oğan, E. (2025). Üniversite Öğrencilerinin Yapay Zekâ Okuryazarlığı Üzerine Bir Araştırma. Üçüncü Sektör Sosyal Ekonomi Dergisi, 60(3), 2670–2686. https://doi.org/10.63556/tisej.2025.1565
Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Routledge.
Russell, S. J., & Norvig, P. (2020). Artificial intelligence: A modern approach (4th ed.). Pearson.
Southgate, E., Blackmore, K., Pieschl, S., Grimes, S., Howard, S., & Smith, S. P. (2019). Artificial intelligence and emerging technologies in schools. Australian Government Department of Education.
Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
UNESCO. (2019). Beijing consensus on artificial intelligence and education. UNESCO Publishing.
Wang, B., Rau, P.-L. P., & Yuan, T. (2022). Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale. Behaviour & Information Technology, 42(9), 1324–1337. https://doi.org/10.1080/0144929X.2022.2072768
Wang, B., Raupach, T., & Laupichler, M. C. (2023). Readiness for artificial intelligence in higher education: A survey of students and faculty. Journal of Educational Computing Research, 61(2), 345-367.