Dergiler / Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi / 2026 / Cilt: 27 Sayı: 3

Yıkım mı? Dönüşüm mü? Üretken Yapay Zekânın Eğitimde Kullanılması Üzerine Bibliyometrik Bir Araştırma

Disruption or Transformation? A Bibliometric Study of Generative AI in Education

İbrahim Enes Öner(TOKAT GAZİOSMANPAŞA ÜNİVERSİTESİ)0000-0002-9513-8242
Sayfa
1414–1445
Yayın Tarihi
2026-09-30
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Araştırmanın 2022 yılında başladığı gözlemlenmiştir.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Bu araştırmanın amacı, bibliyometrik analiz kullanarak üretken yapay zeka ve eğitim alanlarındaki çalışmaları incelemektir.
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Temel Bulgular & Veri:Bu hizmetler aynı zamanda eğitim araştırmalarının da konusu olmuş ve araştırmacılar tarafından eğitim üzerindeki etkileri incelenmiştir.
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Sonuç & Katkı:Araştırmanın 2022 yılında başladığı gözlemlenmiştir.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:2022 Verileri
⚙️Değişkenler:Üretken Yapay Zekâ · Eğitim · Bibliyometrik Analiz.

Özet

Bu araştırmanın amacı, bibliyometrik analiz kullanarak üretken yapay zeka ve eğitim alanlarındaki çalışmaları incelemektir. Yapay zekanın sunduğu yeniliklerden biri olan üretken yapay zeka, kullanıcılara görüntü, ses ve metin gibi alanlarda özgün içerik sunmaktadır. Bu hizmetler aynı zamanda eğitim araştırmalarının da konusu olmuş ve araştırmacılar tarafından eğitim üzerindeki etkileri incelenmiştir. Araştırma yöntemi olarak bibliyometrik analiz kullanılmıştır. Bibliyometrik analiz yöntemi belirlenen alanlarda yapılan araştırmaların yayın yılı, kullanılan anahtar kelimeler, yayın yapılan dergiler gibi alanlardaki eğilimleri ortaya koymayı ve yapılan araştırmalar hakkında bilgi sahibi olmayı sağlar. Üretken yapay zeka ve eğitim alanlarındaki araştırmaları incelemek için Web of Science (WoS) veritabanı kullanılmıştır. WoS'ta yapılan araştırmada, analiz için "Üretken Yapay Zeka" ve "Eğitim" anahtar kelimeleri kullanılmıştır. Araştırma sonuçlarına göre, 1.333 makaleye erişilmiştir. Araştırmanın 2022 yılında başladığı gözlemlenmiştir. Araştırmada 4.671 yazar yer almış, 49.399 atıf almış ve 3.818 anahtar kelime kullanılmıştır. Yapılan araştırmaların en fazla Education and Information Technologies ve Education Science dergilerinde yayınlandığı görülmüştür. Elde edilen sonuçlara dayanarak, farklı konular için üretken yapay zekâ kullanılarak geliştirilen eğitim materyallerinin sayısının artacağı ve bu alandaki çalışmaların daha yaygın hale geleceği söylenebilir.

Abstract

The aim of this research is to examine studies in the fields of generative artificial intelligence and education using bibliometric analysis. Generative artificial intelligence, one of the innovations offered by artificial intelligence, provides users with original content in areas such as images, sound, and text. These services have also been the subject of educational research, and their effects on education have been examined by researchers. Bibliometric analysis was used as a research method. Bibliometric analysis helps to reveal trends in research conducted in selected fields, such as publication year, keywords used, and journals in which the research was published, and provides information about the research conducted. The Web of Science (WoS) database was used to examine research in the fields of generative artificial intelligence and education. In the research conducted on WoS, the keywords "Generative Artificial Intelligence" and "Education" were used for the analysis. According to the research results, 1.333 articles were accessed. It was observed that the research started in 2022. The research included 4.671 authors, the research received 49.399 citations, and 3.818 keywords were used in the research. It was seen that the research was most frequently published in the journal Education and Information Technologies. Based on the results obtained, it can be stated that the number of educational materials developed using generative artificial intelligence for different subjects will increase, and studies in this field will become more widespread.

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Bu Makaleye Atıf Yap

Öner, İ. E. (2026). Yıkım mı? Dönüşüm mü? Üretken Yapay Zekânın Eğitimde Kullanılması Üzerine Bibliyometrik Bir Araştırma. Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi, Cilt: 27 Sayı: 3, 1414–1445. https://doi.org/10.29299/kefad.1912127

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Kaynakça (54)

  1. Adıgüzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429.
  2. Al-Kfairy, M., Mustafa, D., Kshetri, N., Insiew, M., & Alfandi, O. (2024). Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective. Informatics, 11(3), 58–58.
  3. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
  4. Arslan, E. (2022). Sosyal bilim araştırmalarında VOSviewer ile bibliyometrik haritalama ve örnek bir uygulama. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 22 (Special issue 2), 33-56. https://doi.org/10.18037/ausbd.1227291
  5. Avcı, M., & Kurudayıoğlu, M. (2022). Türkçede iki dillilik çalışmalarının bibliyometrik analizi. Ana Dili Eğitimi Dergisi, 10(1), 252-265. https://doi.org/10.16916/aded.1030651
  6. Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52- 62.
  7. Banh, L., & Strobel, G. (2023). Generative artificial intelligence. Electron Markets, 33, 63. https://doi.org/10.1007/s12525-023-00680-1
  8. Bayne, S. (2015). Teacherbot: Interventions in automated teaching. Teaching in Higher Education, 20(4), 455–467.
  9. Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, YT, Li, Y., Lundberg, S., Nori, H., Palangi, H., Ribeiro, M.T., & Zhang, Y. (2023). Sparks of artificial general intelligence: Early experiments with gpt-4. arXiv preprint, arXiv. Article e2303.12712.
  10. Chassignol, M., Khoroshavin, A., Klimova, A. & Bilyatdinova, A. (2018). Artificial Intelligence trends in education: A narrative overview. Procedia Computer Science, 136, 16-24.
  11. Chen, Y., Chen, Y., & Heffernan, N. (2020). Personalized math tutoring with a conversational agent. arXiv preprint, arXiv:2012.12121.
  12. Chinonso, O. E., Theresa, A. M. & Aduke, T. C. (2023). ChatGPT for Teaching, Learning, and Research: Prospects and Challenges. Glob Academic Journal of Humanities Social Sciences,5(2), 33-40.
  13. Ciechanowski, L., Przegalinska, A., Magnuski, M., & Gloor, P. (2019). In the shades of the uncanny valley: An experimental study of human–Sohbet botları interaction. Future Generation Computer Systems, 92, 539-548. https://doi.org/10.1016/j.future.2018.01.055
  14. Clarizia, F., Colace, F., Lombardi, M., Pascale, F., & Santaniello, D. (2018). Sohbet botları: An education support system for student. International symposium on cyberspace safety and security. Springer. https://doi.org/10.1007/978-3-030-01689-0_23
  15. Cukurova, M. (2025). The interplay of learning, analytics and artificial intelligence in education: A vision for hybrid intelligence. British Journal of Educational Technology, 56(2), 469-488.
  16. Çalhan, H. & Çakıcı, A.C. (2019). Bibliometric analysis of internationally indexed articles with the title of winter tourism. The First International Winter Tourism Congress (IWTC 2019). Proceeding Book, ss. 2-11.
  17. Demircioğlu, E., & Demir, B. (2024). Yapay zekâ destekli matematik eğitimi: Bir içerik analizi. International Journal of Social and Humanities Sciences Research (JSHSR), 11(106), 771-785.
  18. Deveci Topal, A., Dilek Eren, C., & Kolburan Geçer, A. (2021). Sohbet botları application in a 5th grade science course. Education and Information Technologies, 26(5), 6241-6265.
  19. Durak, G., Çankaya, S., Özdemir, D., & Can, S. (2024). Artificial intelligence in education: A bibliometric study on its role in transforming teaching and learning. International Review of Research in Open and Distributed Learning, 25(3), 219-244.
  20. Dwivedi, YK, Kshetri, N., Hughes, L., Slade, EL, Jeyaraj, A., Kar, AK, Baabdullah, AM, Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, MA, Al-Busaidi, AS, Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D. ve Wright, R. (2023). Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International journal of information management, 71, Article e102642.
  21. Eke, O. D. (2023). ChatGPT and the rise of generative AI: Threat to academic integrity?. Journal of Responsible Technology, 13, Article e100060.
  22. Erkan, İ. (2020). The past, present, and future of digital marketing: A bibliometric analysis. Akademik Hassasiyetler, 7(13), 149-168.
  23. Fan, L., Deng, K., & Liu, F. (2025). Educational impacts of generative artificial intelligence on learning and performance of engineering students in China. Scientific reports, 15(1), 26521.
  24. García-López, I. M., Ramírez-Montoya, M. S., & Molina-Espinosa, J. M. (2025). Generative artificial intelligence in education: a systematic analysis of opportunities, challenges, and responses. Interactive Learning Environments, 1–24. https://doi.org/10.1080/10494820.2025.2519133
  25. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Basını.
  26. Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A Twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4(4), 134–147.
  27. Hawkins, D. T. (2001). Bibliometrics of electronic journalsin information science. Information research. 7(1).
  28. He, R., Cao, J., & Tan, T. (2025). Generative artificial intelligence: A historical perspective. National Science Review, 12(5), nwaf050.
  29. Health, T. L. D. (2023). ChatGPT: Friend or foe?. The Lancet: Digital health 5(3), Article e102.
  30. Ho, J., Jain, A., & Abbeel, P. (2020). Denoising diffusion probabilistic models. Advances in Neural İnformation Processing Systems, 33, 6840-6851.
  31. Janiesch, C., Zschech, P., & Heinrich, K. (2021). Machine learning and deep learning. Electronic markets, 31(3), 685-695. https://doi.org/10.1007/s12525-021-00475-2
  32. Kasthuri, E., & Balaji, S. (2021, February). A Sohbet botları for changing lifestyle in education. In 2021 Third international conference on intelligent communication technologies and virtual mobile networks (ICICV) (pp. 1317-1322). IEEE.
  33. Kim, Na-Young. (2019). A Study on the Use of Artificial Intelligence Sohbet botlarıs for Improving English Grammar Skills. Journal of Digital Convergence, 17(8), 37–46.
  34. Kim, S., Park, J., & Lee, H. (2019). Automated essay scoring using a deep learning model. Journal of Educational Technology Development and Exchange, 2(1), 1-17.
  35. Liu, C., Liao, M., Chang, C., & Lin, H. M. (2022). An analysis of children’ interaction with an AI Sohbet botları and its impact on their interest in reading. Computers & Education, 189, 104576.
  36. Lund, B. (2022). A Chat with ChatGPT: How will AI impact scholarly publishing?. University of North Texas. https://doi.org/10.13140/RG.2.2.34572.18565
  37. Mannuru, N. R., Shahriar, S., Teel, Z. A., Wang, T., Lund, B. D., Tijani, S., Pohboon, C. O., Agbaji, D., Alhassan, J., Galley, J., Kousari, R., Ogbadu-Oladapo, L., Saurav, S. K., Srivastava, A., Tummuru, S. P., Uppala, S., & Vaidya, P. (2023). Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development. Information Development, 41(3), 1036-1054. https://doi.org/10.1177/02666669231200628
  38. Makda, F. (2025). Digital education: Mapping the landscape of virtual teaching in higher education–a bibliometric review. Education and Information Technologies, 30(2), 2547-2575.
  39. Meço, G., & Coştu, F. (2022). Using artificial intelligence in education: Descriptive content analysis study. Karadeniz Teknik Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Dergisi, 12(23), 171-193.
  40. Obari, H., Lambacher, S., & Kikuchi, H. (2020). The Impact of Using AI and VR with Blended Learning on English as a Foreign Language Teaching. Research-publishing.net.
  41. Palasundram, K., Sharef, N. M., Nasharuddin, N., Kasmiran, K., & Azman, A. (2019). Sequence to sequence model performance for education chatbot. International journal of emerging Technologies in Learning (iJET), 14(24), 56-68.
  42. Ruan, S., Willis, A., Xu, Q., Davis, G. M., Jiang, L., Brunskill, E., & Landay, J. A. (2019, June). Bookbuddy: Turning digital materials into interactive foreign language lessons through a voice chatbot. In Proceedings of the sixth (2019) ACM conference on learning@ scale (pp. 1-4).
  43. Sengar, S. S., Hasan, A. B., Kumar, S., & Carroll, F. (2025). Generative artificial intelligence: A systematic review and applications. Multimedia Tools and Applications, 84(21), 23661-23700.
  44. Tao, L., Deng, H., & Song, Y. (2025). Generative artificial intelligence in education: A topic based bibliometric analysis. Educational Technology & Society, 28(2).
  45. Teubner, T., Flath, C. M., Weinhardt, C., Van Der Aalst, W., & Hinz, O. (2023). Welcome to the era of chatgpt et al. the prospects of large language models. Business & Information Systems Engineering, 65(2), 95-101. https://doi.org/10.1007/s12599-023-00795-x
  46. Tran, M., Balasooriya, C., Semmler, C., & Rhee, J. (2025). Generative artificial intelligence: the ‘more knowledgeable other’in a social constructivist framework of medical education. NPJ Digital Medicine, 8(1), 430.
  47. Tsai, S. C., Chen, C. H., Shiao, Y. T., Ciou, J. S., & Wu, T. N. (2020). Precision education with statistical learning and deep learning: a case study in Taiwan. International Journal of Educational Technology in Higher Education, 17(1), 1–13.
  48. Uğur, S., & Usta, İ. (2025). Bibliographic analysis of postgraduate theses on the use of artificial intelligence in education in Turkey. Manas Sosyal Araştırmalar Dergisi, 14(1), 143-163.
  49. Üstdiken, B. & Pasadeos, Y. (1993). Türkiye’de örgütler ve yönetim yazını. Amme İdaresi Dergisi, 26(2), 73- 93.
  50. Wang, S., & Zhang, H. (2025). Leveraging generative artificial intelligence for sustainable business model innovation in production systems. International Journal of Production Research, 1-26.
  51. Wang, W., Chen, Y., & Heffernan, N. (2020). A generative model-based tutoring system for math word problems. arXiv preprint, arXiv:2010.04.
  52. Wessel, M., Adam, M., Benlian, A., Majchrzak, A., & Thies, F. (2025). Generative AI and its transformative value for digital platforms. Journal of Management Information Systems, 42(2), 346-369.
  53. Xu, J., Xiao, P., Li, T. & Wang, Z. (2022). Research progress on endangered plants: a bibliometric analysis. Biodiversity and Conservation, 31(4), 1125-1147. https://doi.org/10.1007/s10531-022-02392-y
  54. Zhang, B., & Peng, B. (2025). Artificial intelligence and the development of “Specialized, Refined, Unique, and Innovative” small‐and medium‐sized enterprises. Managerial and Decision Economics, 46(2), 843-861.