Ölçek Yıllar: 2025

Dinler, H. (2025). Development of the Artificial Intelligence Perception and Attitude Scale (AIPAS). Bartın University Journal of Faculty of Education, 14(4). DOI: 10.14686/buefad.1602673

Taktak, M. (2025). From Classrooms to Codes: Measuring the Perceptions of School Administrators and Teachers Towards Artificial Intelligence. Pegem Journal of Education and Instruction, 15(4), 846-860.

Tuncal, A. (2025). Yapay zekâ destekli ürünlerde müşteri deneyimi nasıl ölçülür? Türkiye’ye özgü bir ölçek uyarlaması. Sosyal Mucit Academic Review, 6(1), 119-146. https://doi.org/10.54733/smar.1602880

Başal, M. (2025). Yapay Zekâ Destekli Ürünlerde Müşteri Deneyimi Ölçeğinin Türkçeye uyarlanması: Güvenirlik ve geçerlilik çalışması. İşletme Araştırmaları Dergisi, 17(1), 729-738. https://doi.org/10.20491/isarder.2025.1999

Kanbay, Y., Arkan, B., Akçam, A., & Varol, B. (2025). Development and psychometric evaluation of the Artificial Intelligence Ethical Awareness Scale. Ethics & Behavior, 1-17. https://doi.org/10.1080/10508422.2025.2595433

Öner, Ç., Kardaş, F., & Şata, M. (2025).Gençlerde dijital akıl: Yapay Zekâ Farkındalık Ölçeği geliştirme. EKEV Akademi Dergisi(102), 228-243. https://doi.org/10.17753/sosekev.1634851

Türk, N., Batuk, B., Kaya, A., & Yıldırım, O. (2025). What makes university students accept generative artificial intelligence? A moderated mediation model. BMC Psychology, 13, 1257. https://doi.org/10.1186/s40359-025-03559-2

Balıkçı, H. C., & Alpsülün, M. (2025). Turkish adaptation of Artificial Intelligence Attitude Scale-4: Investigating general AI attitudes through various factors. E-Kafkas Journal of Educational Research, 12(2), 444-457. https://doi.org/10.30900/kafkasegt.1509077

Batuk, B. Aktu, Y., & Türk, N. (2025). Yapay Zeka Kabul Ölçeği Kısa Formu’nun psikometrik özelliklerinin incelenmesi. Çukurova Sosyal Bilimler Enstitüsü Dergisi, 34(Uygarlığın Dönüşümü-Sosyal Bilimlerin Bakışıyla Yapay Zekâ), 438-451. https://doi.org/10.35379/cusosbil.1695975

Lin, C. Y., Brailovskaia, J., Üztemur, S., Gökalp, A., Değirmenci, N., Huang, P-C., Chen, I-H., Griffiths, M. D., & Pakpour, A. H. (2025). Dark Future: Development and initial validation of Artificial Intelligence Conspiracy Beliefs Scale (AICBS). Brain and Behavior, 15(7), e70648. https://doi.org/10.1002/brb3.70648

Emekli, E., Orhan, E. N., & Şata, M., (2025, 15-17 October). Yapay zekâ ile yüzleşme: Yapay Zekaya Yönelik Korku Ölçeği geliştirme çalışması. TRB2 International Congress on Educational Sciences-IV, Hakkari, Türkiye.

Kaya, B., Çınar, S., & Cenkseven Önder, F. (2025). AI literacy and digital wellbeing: The multiple mediating roles of positive attitudes towards AI and satisfying basic psychological needs. International Journal of Human–Computer Interaction, 1-11. http://dx.doi.org/10.1080/10447318.2025.2499162  

Kaplan, A., & Kurdal, C. (2025). Yapay Zekâ Öğrenme Niyeti Ölçeği’nin Türk kültürüne uyarlanması: Geçerlik ve güvenirlik çalışması. Eurasian Journal of Teacher Education, 6(2), 88-106.

Deveci Topal, A., Toker Gökçe, A., Dilek Eren, C., Kolburan Geçer, A. (2025). Artificial intelligence literacy scale: A study of reliability and validity in Turkish university students. Journal of Learning and Teaching in Digital Age, 10(1), 58-67. https://doi.org/10.53850/joltida.1440845

Gökçe Tekin, Ö. (2025). Yapay Zekâ Okuryazarlık Ölçeği geliştirme ve doğrulama çalışması. Batı Anadolu Eğitim Bilimleri Dergisi, 16(1), 418-434. https://doi.org/10.51460/baebd.1609636

Çetin, G., Uzun, M., & Şata, M. (2025, 15-17 October). Yapay Zekâ Önyargı Ölçeğinin geliştirmesi [Bildiri sunumu]. TRB2 International Congress on Educational Sciences-IV, Hakkari, Türkiye.

Aca, Z., Solmaz, U., & Koçak, O. (2025). Turkish adaptation of the AI Self-Efficacy Scale: A psychometric evaluation. International Journal of Human–Computer Interaction. Advance online publication. https://doi.org/10.1080/10447318.2025.2558027

Boduroglu, E., & Yigiter, M. S. (2025). Artificial intelligence scoring attitudes: Scale development and validation. Education and Information Technologies. Advance online publication.  https://doi.org/10.1007/s10639-025-13836-7

Yıldız Durak, H., & Balıkçı, H. C. (2025). Yapay Zekâ Sohbet Botu Bağımlılık Ölçeğinin Türkçeye uyarlanması. In All Sciences Academy (Ed.), Proceeding book of 3rd International Conference on Trends in Advanced Research ICTAR 2025 (pp. 1–6). All Sciences Academy. https://as-proceeding.com/index.php/ictar/home

Satıcı, S. A., Okur, S., Yılmaz, F. B., & Grassini, S. (2025). Psychometric properties and Turkish adaptation of the Artificial Intelligence Attitude Scale (AIAS-4): Evidence for construct validity. BMC Psychology, 13, 297. https://doi.org/10.1186/s40359-025-02505-6

Arslan, N., Esin, K. & Ayyıldız, F. (2025). A validity and reliability study of the Artificial Intelligence Attitude Scale (AIAS-4) and its relationship with social media addiction and eating behaviors in Turkish adults. BMC Public Health 25, 1244. https://doi.org/10.1186/s12889-025-22507-8

Kaya, B., Çınar, S., & Cenkseven Önder, F. (2025). AI literacy and digital wellbeing: The multiple mediating roles of positive attitudes towards AI and satisfying basic psychological needs. International Journal of Human–Computer Interaction, 1-11.

Batuk, B., Türk, N., & Yıldırım, O. (2025). Psychometric properties of the Turkish Version of the AI Mindset Scale. International Journal of English for Specific Purposes, 3(2), 93-104. https://doi.org/10.70870/joinesp.1823525

Türk, N., Batuk, B., Kaya, A., & Yıldırım, O. (2025). What makes university students accept generative artificial intelligence? A moderated mediation model. BMC Psychology, 13, 1257. https://doi.org/10.1186/s40359-025-03559-2

Turgut, D., Kunuroglu, F., & van Prooijen, J. W. (2026). Adaptation of the AI-Related Conspiracy Beliefs Scale for use in Turkey. International Journal of Human–Computer Interaction, 1–15. https://doi.org/10.1080/10447318.2025.2611144