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Artificial Intelligence and Education: Current Applications and Future Perspectives

Year 2025, Volume: 27 Issue: 1, 162 - 178, 30.06.2025
https://doi.org/10.26468/trakyasobed.1539210

Abstract

Artificial intelligence, which is designed by imitating certain aspects of human intelligence and used in many fields today, is a popular research area with the potential to fulfill the basic functions of human beings in a wide range from simple machines to complex systems. One of the areas of use of artificial intelligence is education. Since the early 21st century, the transformation in education has accelerated in parallel with the development of artificial intelligence technologies. As a matter of fact, artificial intelligence is now widely used in education to improve and personalize learning processes. Studies reveal that artificial intelligence has significant potential in various areas such as personalizing learning processes through adaptive learning platforms, tracking student performance in real time, and providing specific recommendations to students by identifying learning difficulties. The existing literature shows that artificial intelligence is becoming increasingly important in education and will play a central role in future education systems. In this context, this study examines the current applications and future potential of artificial intelligence in education. In this study, intelligent tutoring systems, expert systems and dialog-based tutoring systems, which are among the most important applications of artificial intelligence technologies in education, are examined in detail. The basic components, working principles, advantages and disadvantages of these systems are discussed together with current examples. In the light of this information, it is predicted that artificial intelligence technologies will become more widespread in education and will become a fundamental part of education systems in the future.

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Yapay Zeka ve Eğitim: Güncel Uygulamalar ve Gelecek Perspektifleri

Year 2025, Volume: 27 Issue: 1, 162 - 178, 30.06.2025
https://doi.org/10.26468/trakyasobed.1539210

Abstract

İnsan zekâsının belirli yönlerini taklit ederek tasarlanan ve günümüzde pek çok alanda kullanılan yapay zekâ, basit makinelerden karmaşık sistemlere kadar geniş bir yelpazede insanın temel işlevlerini yerine getirebilecek potansiyele sahip, popüler bir araştırma alanıdır. Yapay zekânın kullanım alanlarından birisi de eğitimdir. 21. yüzyılın başlarından itibaren eğitimde yaşanan dönüşüm, yapay zekâ teknolojilerinin gelişimine paralel olarak hız kazanmıştır. Nitekim yapay zekâ, günümüzde eğitim alanında öğrenme süreçlerini iyileştirmek ve kişiselleştirmek amacıyla yaygın olarak kullanılmaktadır. Yapılan çalışmalar, yapay zekânın adaptif öğrenme platformları aracılığıyla öğrenme süreçlerini kişiselleştirme, öğrenci performansını gerçek zamanlı olarak takip etme ve öğrenme zorluklarını tespit ederek öğrencilere özel öneriler sunma gibi çeşitli alanlarda önemli potansiyele sahip olduğunu ortaya koymaktadır. Mevcut alanyazın, yapay zekânın eğitimde giderek daha önemli bir hale geldiğini ve gelecekteki eğitim sistemlerinde merkezi bir rol oynayacağını göstermektedir. Bu bağlamda çalışmada, yapay zekânın eğitimdeki mevcut uygulamaları ve gelecekteki potansiyeli incelenmektedir. Çalışmada, yapay zekâ teknolojilerinin eğitim alanındaki en önemli uygulamalarından biri olan akıllı öğretim sistemleri, uzman sistemler ve diyalog tabanlı öğretici sistemler detaylı bir şekilde incelenmiştir. Bu sistemlerin temel bileşenleri, çalışma prensipleri, avantajları ve dezavantajları, güncel örneklerle birlikte ele alınmıştır. Bu bilgiler ışığında yapay zekâ teknolojilerinin eğitimde daha da yaygınlaşacağı ve gelecekte eğitim sistemlerinin temel bir parçası haline geleceği öngörülmektedir.

Ethical Statement

Bu makalede veri toplama sürecinde insan katılımı ve veri gizliliği gibi etik sorunlar doğurmayan doküman incelemesi yöntemi kullanılmıştır. Bu nedenle makale, etik kurul izni gerektiren çalışmalar kategorisinde yer almamaktadır.

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There are 136 citations in total.

Details

Primary Language Turkish
Subjects Information Systems Education, Information Systems (Other), Sociology and Social Studies of Science and Technology
Journal Section Derleme Makalesi
Authors

Süleyman Temur 0000-0002-5203-6553

Publication Date June 30, 2025
Submission Date August 27, 2024
Acceptance Date June 13, 2025
Published in Issue Year 2025 Volume: 27 Issue: 1

Cite

APA Temur, S. (2025). Yapay Zeka ve Eğitim: Güncel Uygulamalar ve Gelecek Perspektifleri. Trakya Üniversitesi Sosyal Bilimler Dergisi, 27(1), 162-178. https://doi.org/10.26468/trakyasobed.1539210
AMA Temur S. Yapay Zeka ve Eğitim: Güncel Uygulamalar ve Gelecek Perspektifleri. Trakya Üniversitesi Sosyal Bilimler Dergisi. June 2025;27(1):162-178. doi:10.26468/trakyasobed.1539210
Chicago Temur, Süleyman. “Yapay Zeka Ve Eğitim: Güncel Uygulamalar Ve Gelecek Perspektifleri”. Trakya Üniversitesi Sosyal Bilimler Dergisi 27, no. 1 (June 2025): 162-78. https://doi.org/10.26468/trakyasobed.1539210.
EndNote Temur S (June 1, 2025) Yapay Zeka ve Eğitim: Güncel Uygulamalar ve Gelecek Perspektifleri. Trakya Üniversitesi Sosyal Bilimler Dergisi 27 1 162–178.
IEEE S. Temur, “Yapay Zeka ve Eğitim: Güncel Uygulamalar ve Gelecek Perspektifleri”, Trakya Üniversitesi Sosyal Bilimler Dergisi, vol. 27, no. 1, pp. 162–178, 2025, doi: 10.26468/trakyasobed.1539210.
ISNAD Temur, Süleyman. “Yapay Zeka Ve Eğitim: Güncel Uygulamalar Ve Gelecek Perspektifleri”. Trakya Üniversitesi Sosyal Bilimler Dergisi 27/1 (June2025), 162-178. https://doi.org/10.26468/trakyasobed.1539210.
JAMA Temur S. Yapay Zeka ve Eğitim: Güncel Uygulamalar ve Gelecek Perspektifleri. Trakya Üniversitesi Sosyal Bilimler Dergisi. 2025;27:162–178.
MLA Temur, Süleyman. “Yapay Zeka Ve Eğitim: Güncel Uygulamalar Ve Gelecek Perspektifleri”. Trakya Üniversitesi Sosyal Bilimler Dergisi, vol. 27, no. 1, 2025, pp. 162-78, doi:10.26468/trakyasobed.1539210.
Vancouver Temur S. Yapay Zeka ve Eğitim: Güncel Uygulamalar ve Gelecek Perspektifleri. Trakya Üniversitesi Sosyal Bilimler Dergisi. 2025;27(1):162-78.

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