The primary aim of this study is to examine the methodological characteristics of postgraduate theses on artificial intelligence in mathematics education in Türkiye. Within the scope of the study, theses published between 2013 and 2025 in the Council of Higher Education National Thesis Center database were systematically reviewed and analyzed in detail based on predetermined criteria. The theses were evaluated in terms of variables such as publication year, university, sample group, research method, data collection tools, and the types of artificial intelligence technologies used. The findings indicate that there has been a growing interest in artificial intelligence within mathematics education in recent years, with a particular increase in applied studies conducted at the high school level. This research aims to identify current trends, highlight gaps in the literature, and provide guidance for future studies in the field.
Cite this Article As :
Taş, S., & Aydın, B. (2026). Matematik eğitiminde yapay zekâ konulu tezlerin incelenmesi. Edutech Research, 4(1),1-9. https://doi.org/10.69991/EduRes.2026.6
Edutech Research
2026, Vol. 4 (1)
E-ISSN: 3023-6665
Received : ,
Accepted : ,
Published Online :
References
Arslan, S. (2019). İlkokullarda ve Ortaokullarda Görev Yapan Öğretmenlerin Dijital Okuryazarlık Düzeylerinin Çeşitli Değişkenler Açısından İncelenmesi. Sakarya Üniversitesi, Doktora Tezi.
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264-75278.
Coşkun, F. ve Gülleroğlu, H. D. (2021). Geçmişten Günümüze Yapay Zekanın Gelişimi ve Eğitim Alanında Kullanılması. Ankara Üniversitesi Eğitim Bilimleri Fakültesi Dergisi, 54(3). https://doi.org/10.30964/auebfd.916220
Çalık, M. ve Sözbilir, M. (2014). Parameters of Content Analysis. Education and Science, 39(174), 33-38.
Çelik, B. C., Eroğlu, T., & Uzun, M. S. (2024). Matematik Eğitimi Alanında 2017-2021 Yılları Arasında Türkiye’de Yapılan Lisansüstü Tezlerin Araştırma Eğilimleri. Milli Eğitim Dergisi, 53(244), 1873-1912. https://doi.org/10.37669/milliegitim.1277249
Gürbüz, S. ve Şahin, F. (2018). Sosyal Bilimlerde Araştırma Yöntemleri (5. Baskı). Ankara: Seçkin Yayıncılık
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson Education.
Nayıroğlu, B. ve Tutak, T. (2024). Matematik Öğretiminde Yapay Zekanın Rolü: Eğitimde Kullanılan Araçların İncelenmesi. Turkish Journal of Educational Studies, 11(1), 65-78. https://doi.org/10.33907/turkjes.1415591
Papamitsiou, Z., & Economides, A. A. (2014). Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review of Empirical Evidence. Educational Technology & Society, 17(4), 49-64.
Turing, A. M. (1950). Computing Machinery and Intelligence. Mind, 49: 433-460.
Van Dis, E.A., Bollen, J., Zuidema, W., Van Rooij, E., Bockting, C. L. (2023). ChatGPT: Five priorities for research, Nature, 614(7947), 224–226.
VanLehn, K. (2011). The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems. Educational Psychologist, 46(4), 197-221.
Woolf, B. P. (2010). Building Intelligent Interactive Tutors: Student-Centered Strategies for Revolutionizing E-learning. Morgan Kaufmann.
Yıldırım, A. & Şimşek, H. (2016). Sosyal Bilimlerde Nitel Araştırma Yöntemleri (10. Baskı). Ankara: Seçkin Yayıncılık.
Zawacki-Richter, O., Marín, V.I., Bond, M. (2019). Systematic Review of Research on Artificial Intelligence Applications in Higher Education – Where are the Educators?. International Journal of Education Technology in Higher Education, 16(39). https://doi.org/10.1186/s41239-019-0171-0