The Ethical Compass of Digital Classrooms: Teachers’ Perspectives on AI Ethics in Education
Yıl 2026,
Cilt: 10 Sayı: 1
,
99
-
155
,
31.03.2026
Ayten Arslan
Öz
The aim of the study is to examine primary school teachers’ perspectives on the ethics of artificial intelligence [AI] in education in depth. The research was conducted using a phenomenological design. The study group consisted of 62 primary school teachers working in Türkiye. Data were analyzed using an inductive content analysis approach, allowing themes and categories to emerge directly from the participants’ responses. The results indicate that teachers recognize both the potential benefits and challenges of AI in classroom settings. Participants highlighted concerns regarding ethical risks, the need for effective control and oversight of AI tools, precautions against technical problems, and the impact of security vulnerabilities on student data. Teachers also emphasized the importance of ensuring privacy, fairness, and equal opportunities in AI-supported education, as well as informing stakeholders about AI decision-making processes. Furthermore, the results underscore the necessity of establishing clear ethical rules and assigning accountability for AI errors. These insights provide a comprehensive understanding of responsible AI implementation in educational contexts and offer guidance for policymakers, administrators, and educators aiming to integrate AI technologies in ways that enhance learning while upholding ethical and security standards.
Etik Beyan
The study was reviewed by the Muş Alparslan University Scientific Research and Publication Ethics Committee. The ethics review decision was issued on 10.02.2025 with Decision No 182174.
Destekleyen Kurum
No financial or institutional support was received for this research.
Teşekkür
The author declares that no individual or organization contributed to the study other than the author.
Kaynakça
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Aksakal, Ş., Emre, İ., & Özbek, M. (2024). Sınıf öğretmenlerinin yapay zekaya ilişkin tutumlarının belirlenmesi [Determining classroom teachers’ attitudes towards artificial intelligence]. The Journal of New Approaches in Education, 7(1), 1-13.
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Aldossari, M. (2024). Enhancing user experiences in ai-driven decision-making. Online Journal of Robotics & Automation Technology, 3(1), 1-12. https://doi.org/10.33552/ojrat.2024.03.000552
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Ali, H. Y., & Okon, O. E. (2024). Balancing innovation and ethics: educators’ perspectives on the role of ai in education. The American Journal of Social Science and Education Innovations, 6(9), 128-139. https://doi.org/10.37547/tajssei/volume06issue09-14
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Araujo Sandoval, O. I. (2024). El impacto de la inteligencia artificial en el aprendizaje activo. Horizon Nexus Journal, 2(4), 42-53. https://doi.org/10.70881/hnj/v2/n4/43
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Bayan, F. M. (2024). The ethics of AI: Navigating the moral dilemmas of artificial intelligence. Arab Journal for Scientific Publishing, 7(66), 1-11. https://doi.org/10.36571/ajsp661
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Bensason, İ., Dericioğlu Egemen, A., Kaspi, R., Küzeci, E., Sezgin, Ö., & Uyan, B. (2024). Yapay zekâ etik ilkeleri ve hukuki düzenlemeler raporu [Report on artificial intelligence ethics and legal regulations]. Türkiye Yapay Zekâ İnisiyatifi. Retrieved 15 April, 2025 from https://turkiye.ai/wp-content/uploads/2025/05/TRAI-Yapay-Zeka-Etik-Ilkeleri-ve-Hukuki-Duzenlemeler-Raporu-Mayis-2024-5.pdf
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Bernardo, G., Bernardo M., & Fuentes, A. (2024). La ética de la inteligencia artificial en el campo educativo. Mundo Científico Internacional (MUCIN), 8, 40-50. https://doi.org/10.59333/mucin.e8.3
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Dijital Sınıfların Etik Pusulası: Sınıf Öğretmenlerinin Eğitimde Yapay Zekâ Etiğine Yönelik Görüşleri
Yıl 2026,
Cilt: 10 Sayı: 1
,
99
-
155
,
31.03.2026
Ayten Arslan
Öz
Çalışmanın amacı, sınıf öğretmenlerinin eğitimde yapay zekâ [YZ] etiğine ilişkin görüşlerini derinlemesine incelemektir. Araştırma, fenomenolojik desen kullanılarak yürütülmüştür. Çalışma grubunu, Türkiye’de bir ilde görev yapan 62 sınıf öğretmeni oluşturmaktadır. Veriler, katılımcıların yanıtlarından temalar ve kategorilerin doğrudan ortaya çıkmasına olanak tanıyan tümevarımsal içerik analizi yaklaşımıyla analiz edilmiştir. Araştırmadan elde edilen sonuçlar, öğretmenlerin sınıf ortamlarında YZ’nin kullanımının hem potansiyel yararlarını hem de karşılaşılabilecek güçlüklerini fark ettiklerini göstermektedir. Sınıf öğretmenleri etik riskler, YZ araçlarının etkili biçimde kontrol edilmesi ve denetlenmesi gerekliliği, teknik sorunlara karşı alınması gereken önlemler ile güvenlik açıklarının öğrenci verileri üzerindeki etkilerine ilişkin kaygılarını dile getirmiştir. Öğretmenler ayrıca, YZ destekli eğitimde gizlilik, adalet ve fırsat eşitliğinin sağlanmasının önemini vurgulamış; YZ’nin karar verme süreçleri hakkında tüm paydaşların bilgilendirilmesi gerektiğini belirtmiştir. Bununla birlikte, bulgular YZ’ye ilişkin açık etik kuralların oluşturulması ve YZ kaynaklı hatalar için sorumluluğun net biçimde tanımlanması gerekliliğine işaret etmektedir. Elde edilen bu sonuçlar, eğitim bağlamında sorumlu yapay zekâ uygulamalarına ilişkin kapsamlı bir anlayış sunmakta ve öğrenmeyi desteklerken etik ve güvenlik standartlarını gözeten YZ entegrasyonu hedefleyen politika yapıcılar, yöneticiler ve eğitimciler için yol gösterici nitelik taşımaktadır.
Etik Beyan
Çalışma, Muş Alparslan Üniversitesi Bilimsel Araştırmalar ve Yayın Etiği Kurulu tarafından incelenmiştir. Etik kurul kararı, 10.02.2025 tarihinde gerçekleştirilen 182174 sayılı karar ile alınmıştır.
Destekleyen Kurum
Bu araştırma kapsamında herhangi bir mali veya kurumsal destek alınmamıştır.
Teşekkür
Yazar, çalışma sürecine kendisi dışında herhangi bir kişi ya da kurumun katkı sağlamadığını beyan etmektedir.
Kaynakça
-
Ahmed, Z. E., Hashim, A. H. A., Saeed, R. A., & Saeed, M. M. (2024). AI-enhanced education: Bridging educational disparities. In AI-enhanced teaching methods (pp. 1-20). IGI Global
-
Aksakal, Ş., Emre, İ., & Özbek, M. (2024). Sınıf öğretmenlerinin yapay zekaya ilişkin tutumlarının belirlenmesi [Determining classroom teachers’ attitudes towards artificial intelligence]. The Journal of New Approaches in Education, 7(1), 1-13.
-
Albahijan, N., Al-Suraibi, H., Alotaibi, J. A., & Alotaibi, K. (2025). Artificial intelligence in education. International Journal of Computers and Informatics, 4(1), 9-61. https://doi.org/10.59992/ijci.2025.v4n1p1
-
Aldossari, M. (2024). Enhancing user experiences in ai-driven decision-making. Online Journal of Robotics & Automation Technology, 3(1), 1-12. https://doi.org/10.33552/ojrat.2024.03.000552
-
Ali, H. Y., & Okon, O. E. (2024). Balancing innovation and ethics: educators’ perspectives on the role of ai in education. The American Journal of Social Science and Education Innovations, 6(9), 128-139. https://doi.org/10.37547/tajssei/volume06issue09-14
-
Araujo Sandoval, O. I. (2024). El impacto de la inteligencia artificial en el aprendizaje activo. Horizon Nexus Journal, 2(4), 42-53. https://doi.org/10.70881/hnj/v2/n4/43
-
Bayan, F. M. (2024). The ethics of AI: Navigating the moral dilemmas of artificial intelligence. Arab Journal for Scientific Publishing, 7(66), 1-11. https://doi.org/10.36571/ajsp661
-
Bensason, İ., Dericioğlu Egemen, A., Kaspi, R., Küzeci, E., Sezgin, Ö., & Uyan, B. (2024). Yapay zekâ etik ilkeleri ve hukuki düzenlemeler raporu [Report on artificial intelligence ethics and legal regulations]. Türkiye Yapay Zekâ İnisiyatifi. Retrieved 15 April, 2025 from https://turkiye.ai/wp-content/uploads/2025/05/TRAI-Yapay-Zeka-Etik-Ilkeleri-ve-Hukuki-Duzenlemeler-Raporu-Mayis-2024-5.pdf
-
Bernardo, G., Bernardo M., & Fuentes, A. (2024). La ética de la inteligencia artificial en el campo educativo. Mundo Científico Internacional (MUCIN), 8, 40-50. https://doi.org/10.59333/mucin.e8.3
-
Bhat, M. (2024, June 23-26). Creative explainable AI tools to understand algorithmic decision-making. In Proceedings of the 16th Conference on Creativity & Cognition, New York, NY, USA, (pp. 10-16), Association for Computing Machinery. https://doi.org/10.1145/3635636.3664622
-
Bhavana, S., Jayashree, K., & Rao, T. V. N. (2025). Navigating AI biases in education: A foundation for equitable learning. In AI applications and strategies in teacher education (pp. 135-160). IGI Global.
-
Binns, R. (2018). Fairness in machine learning: Lessons from political philosophy. In Proceedings of the Conference on Fairness, Accountability and Transparency (pp. 149-159). PMLR.
-
Bölükbaş, F. A., Engin, K., Polat, E. B., & Budak, K. S. (2023). Do we support ethical behavior in digital tool use in early childhood?. In Critical roles of digital citizenship and digital ethics (pp. 206-234). IGI Global.
-
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