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Eğitimde yapay zekâ kullanımı: Etik sorunlar ve çözümler

Yıl 2025, Sayı: 74, 568 - 595, 30.04.2025
https://doi.org/10.21764/maeuefd.1516576

Öz

Yapay Zekâ (YZ), insan zekâsının ve bilişsel işlevlerinin taklit edilmesi amacıyla tasarlanmış ve programlanmış bilgisayar sistemleri olarak tanımlanmaktadır. YZ teknolojilerinde yaşanan gelişmeler birçok alanda değişim ve dönüşümü beraberinde getirmiştir. Bu alanlardan birisi de eğitimdir. Nitekim eğitim sistemleri, YZ teknolojilerindeki gelişmelere bağlı olarak sürekli yenilenmekte ve bu dönüşümleri takip ederek değişmekte ve gelişmektedir. Dahası eğitimciler, araştırmacılar ve politika yapıcılar, YZ'nın öğrenme ortamlarını dönüştürme, öğretim metodolojilerini geliştirme ve eğitim deneyimlerini kişiselleştirme potansiyeli nedeniyle bu alana büyük ilgi göstermektedirler. YZ’nın eğitimde kullanımı, birçok potansiyel fayda sunmasına rağmen, önemli etik endişeleri de beraberinde getirmektedir. Bu bağlamda makalede, eğitimde YZ kullanımına yönelik etik kaygılar ele alınmaktadır. Çalışmada nitel araştırma yöntemlerinden tarama modeli kullanılmıştır. Araştırmada öncelikle YZ'nın tanımı ve temel özellikleri sunulmuştur. Daha sonra, YZ'nın eğitimde kullanımıyla ortaya çıkan etik sorunlar ele alınmıştır. Bu sorunlar arasında gizlilik, önyargı, ayrımcılık, güvenlik, hesap verebilirlik, şeffaflık, silahlanma, dijital uçurum, teknoloji bağımlılığı ve fikri mülkiyet gibi konular yer almaktadır. Son olarak eğitimde YZ kullanımına yönelik etik bağlamda yapılan yasal düzenlemelere yer verilmiştir. Araştırma sonucunda, YZ'nın eğitimde sorumlu ve etik bir şekilde kullanılmasının önemi vurgulanmıştır. Bu çerçevede, eğitimciler, araştırmacılar ve politika yapıcıların ortak bir çabayla hareket etmesi ve etik ilkeler doğrultusunda YZ politikaları geliştirmesi gerektiği belirtilmiştir.

Etik Beyan

Merhaba Hocam, “Eğitimde Yapay Zekâ Kullanımı: Etik Sorunlar ve Çözümler” adlı çalışma etik kurul izni gerektiren çalışmalar kategorisinde yer almamaktadır. Saygılarımla.

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Using artificial intelligence in education: Ethical issues and solutions

Yıl 2025, Sayı: 74, 568 - 595, 30.04.2025
https://doi.org/10.21764/maeuefd.1516576

Öz

Artificial Intelligence (AI) is defined as computer systems designed and programmed to imitate human intelligence and cognitive functions. Developments in AI technologies have brought about change and transformation in many fields. One of these areas is education. As a matter of fact, education systems are constantly renewed depending on the developments in AI technologies, and they change and develop by following these transformations. Moreover, educators, researchers and policy makers are showing great interest in this field due to the potential of AI to transform learning environments, improve teaching methodologies and personalize educational experiences. Although the use of AI in education offers many potential benefits, it also raises important ethical concerns. In this context, this article addresses ethical concerns about the use of AI in education. Survey model, one of the qualitative research methods, was used in the study. Firstly, the definition and basic features of AI are presented. Then, ethical issues arising from the use of AI in education are discussed. These issues include privacy, prejudice, discrimination, security, accountability, transparency, armament, digital divide, technology addiction and intellectual property. Finally, legal arrangements made in the ethical context for the use of AI in education are included. As a result of the research, the importance of using AI in education in a responsible and ethical manner was emphasized. In this framework, it was stated that educators, researchers and policy makers should act in a joint effort and develop AI policies in line with ethical principles.

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  • Temur, S. (2024c). Yapay zekânın etik boyutu ve hukuki düzenlemeler: Güncel durum ve gelecek perspektifleri. F. Ayaz & H. Ayaz (Eds.), Yapay zekâ denkleminde “sorgulananlar” (medya, iletişim ve eğitim çalışmaları) İçinde (ss. 145-172). Eğitim Yayınevi.
  • The Consortium for School Networking [CoSN]. (2023). Artificial intelligence (AI) in K-12. https://www.cosn.org/tools-and-resources/resource/artificial-intelligence-ai-in-k-12/
  • Turgut Bilgiç, E. (2024). Genel veri koruma ilkelerinin yapay zekâ karşısında uygulanabilirliği sorunu. Türkiye Adalet Akademisi Dergisi, (57), 247-282. https://doi.org/10.54049/taad.1418236
  • UN General Assembly (2018). Special rapporteur on the promotion and protection of the right to freedom of opinion and expressions. https://www.ohchr.org/en/special-procedures/sr-freedom-of-opinion-and-expression
  • United Nations Educational, Scientific and Cultural Organization [UNESCO] (2023). ChatGPT and artificial intelligence in higher education-quick start guide. https://etico.iiep.unesco.org/en/chatgpt-and-artificial-intelligence-higher-education-quick-start-guide
  • Université de Montréal. (2018). Montréal Declaration for the responsible development of artificial intelligence. Université de Montréal. https://rb.gy/pes8ya
  • Varyonki, G. G. (2020). Yapay zeka teknolojisinin kişisel verilerin korunması açısından risk değerlendirmesi. İçinde Ş. Sağıroğlu & M. U. Demirezen (Eds), Yapay zeka ve büyük veri: Teknolojiler, yaklaşımlar ve uygulamalar (ss. 343-364). Nobel.
  • Vashistha, H., & Harikrishnan, M. (2025). A study on artificial intelligence ethics in education. International Journal for Multidisciplinary Research, 7(1), 1-7. https://doi.org/10.36948/ijfmr.2025.v07i01.36798
  • Vural Yılmaz, D. (2023). Yapay zekâ ve yükseköğretim. İçinde M. Aktaş (Ed.), Yapay zekâ yönetim ve eğitim (ss. 205-233). Nobel.
  • Wachter, S., & Mittelstadt, B. (2018). A right to reasonable inferences: Re-thinking data protection law in the age of big data and AI. Columbia Business Law Review, 2019(2), 494-620. http://dx.doi.org/10.31228/osf.io/mu2kf
  • Whittlestone, J., Nyrup, R., Alexandrova, A. & Cave, S. (2019). The role and limits of principles in ai ethics: Towards a focus on tensions. AIES '19: Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society (pp. 195-200). Honolulu, USA. https://doi.org/10.1145/3306618.3314289
  • Woerner, J. H. R., Turtova, A. P., & Lang, A. S. I. D. (2024). Transformative potentials and ethical considerations of AI Tools in Higher education: Case studies and reflections. SoutheastCon 2024 (pp. 510-515). Atlanta, USA. IEEE. https://doi.org/10.1109/SoutheastCon52093.2024.10500042
  • Yalçın, N., & Avşar, A. (2018). Sosyal mühendislik atakları ve alınması gereken önlemler. 20. Akademik Bilişim Konferansı (ss. 77-85). Karabük Üniversitesi, Karabük.
  • Yeşilyurt, S., Dündar, R. & Aydın, M. (2024). Sosyal bilgiler eğitimi alanında lisansüstü eğitimini sürdüren öğrencilerin yapay zekâ hakkındaki görüşleri. Asya Studies, 8(27), 1-14. https://doi.org/10.31455/asya.1406649
  • Zgrzebnicki, P. (2017). Selected ethical issues in artificial intelligence, autonomous system development and large data set processing. Studia Humana, 6(3), 24-33. https://doi.org/10.1515/sh-2017-0020
  • Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J. B., Yuan, J., & Li, Y. (2021). "A review of artificial intelligence (AI) in education from 2010 to 2020". Complexity, 2021(6), 1-18. https://doi.org/10.1155/2021/8812542
Toplam 111 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Öğretim Teknolojileri, Alan Eğitimleri (Diğer), Eğitim Teknolojisi ve Bilgi İşlem, Eğitim Üzerine Çalışmalar (Diğer)
Bölüm Derleme
Yazarlar

Süleyman Temur 0000-0002-5203-6553

Gönderilme Tarihi 15 Temmuz 2024
Kabul Tarihi 19 Nisan 2025
Yayımlanma Tarihi 30 Nisan 2025
Yayımlandığı Sayı Yıl 2025 Sayı: 74

Kaynak Göster

APA Temur, S. (2025). Eğitimde yapay zekâ kullanımı: Etik sorunlar ve çözümler. Mehmet Akif Ersoy University Journal of Education Faculty(74), 568-595. https://doi.org/10.21764/maeuefd.1516576

   Mehmet Akif Ersoy Üniversitesi Eğitim Fakültesi Dergisi

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