Journals / International Journal of Social And Humanities Sciences / 2026 / Cilt: 10 Sayı: 2

ARTIFICIAL INTELLIGENCE (AI) LITERACY LEVELS OF UNIVERSITY STUDENTS AND THE CRITICAL ROLE OF EDUCATION IN THE PROCESS

ÜNİVERSİTE ÖĞRENCİLERİNİN YAPAY ZEKA (AI) OKURYAZARLIK DÜZEYLERİ VE BU SÜREÇTE EĞİTİMİN ÖNEMLİ ROLÜ

Melih Burak Özdemir(TC MİLLİ EĞİTİM BAKANLIĞI VAN)
Pages
127–144
Publication Date
2026-09-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition, it was found that there was a significant relationship (p<.05) between AI literacy and university.

📌 3 Key Takeaways

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Objective & Hypothesis:At the time of the study, there was no quantitative research on AI literacy in Turkey.
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Key Findings & Data:A total of 342 university students participated in the study, including 234 women (68.4%) and 108 men (31.6%).
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Conclusion & Impact:In addition, it was found that there was a significant relationship (p<.05) between AI literacy and university.
🔬Design:Survey & Empirical Study
📍Scope:2022 Verileri
⚙️Variables:Yapay zeka okuryazarlığı · Türkiye · Ondokuz Mayıs Üniversitesi

Abstract

At the time of the study, there was no quantitative research on AI literacy in Turkey. With this study, it is aimed to contribute to the field of AI literacy and to create a reference for future studies. A total of 342 university students participated in the study, including 234 women (68.4%) and 108 men (31.6%). In the study, 'Artificial Intelligence Literacy Scale' developed by Wang et al. (2022) and Turkish validity and reliability study conducted by Çelebi et al. (2023) was used. Kaiser- Meyer- Olkin (KMO) value was calculated as .85 in the study in which survey model was used among quantitative research methods. According to this result, it can be said that the factor loading value is sufficient and there is sufficient relationship between the variables for factor analysis. The result of Barlett sphericity test (x²(66)= 1283,756; p<.05) shows that the chi-square value is significant. According to the findings of the study, the mean score of AI literacy of university students was calculated as (x̄=61,517). This result shows that the AI literacy level of the students is good. In addition, it was found that there was a significant relationship (p<.05) between AI literacy and university. It is important for children to learn the possibilities of AI at an early age, but it is important for adults to have a basic understanding of AI so that they can interact effectively with technology at university and beyond. The introduction of an AI literacy course in the undergraduate programmes of universities can pave the way for a faster interaction with the increasing prevalence of AI technologies in society.

Özet

Araştırmanın yapıldığı tarihte Türkiye’de yapay zeka okuryazarlığı konusunda yapılmış nicel herhangi bir araştırmaya rastlanmamıştır. Çalışma ile yapay zeka okuryazarlığı konusunda alana katkı koymak ve yapılacak çalışmalara referans oluşturmak hedeflenmektedir. Çalışmaya 234 kadın (%68.4) ve 108 erkek (%31.6) toplam 342 üniversite öğrenci katılmıştır. Çalışmada Wang ve ark. (2022) tarafından geliştirilmiş, geçerlik ve güvenirlik çalışması Çelebi ve diğ. (2023) tarafından yapılan ‘Yapay Zekâ Okuryazarlık Ölçeği’ kullanılmıştır. Nicel araştırma yöntemlerinden tarama modelinin kullanıldığı araştırmada Kaiser- Meyer- Olkin (KMO) değeri .85 olarak hesaplanmıştır. Bu sonuca göre faktör yük değerinin yeterli olduğu ve değişkenler arasında faktör analizi yapmaya yeterli ilişkinin olduğu söylenebilir. Barlett küresellik testi sonucu ise (x²(66)= 1283,756; p<.05) ki-kare değerinin anlamlı olduğunu göstermektedir. Çalışma bulgularına göre üniversite öğrencilerinin yapay zeka okuryazarlığı puan ortalaması (x̄=61,517) olarak hesaplanmıştır. Bu sonuç, öğrencilerin yapay zeka okuryazarlığı düzeylerinin iyi olduğu göstermektedir. Ayrıca yapay zeka okur yazarlığı ile üniversite arasında anlamlı bir ilişkinin (p<.05) olduğu bulunmuştur. Çocukların yapay zekanın olanaklarını erken yaşta öğrenmesi önemlidir ancak üniversite ve sonrası süreçte yetişkinlerin de teknolojiyle etkin bir şekilde etkileşime girebilmeleri için temel düzeyde bir yapay zeka anlayışına sahip olmaları önemlidir. Üniversitelerin lisans programlarına yapay zeka okur yazarlığı dersinin konması, yapay zeka teknolojilerinin toplumda artan yaygınlığıyla daha hızlı bir şekilde etkileşime geçmesinin önünü açabilir.

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Cite This Article

Özdemir, M. B. (2026). ARTIFICIAL INTELLIGENCE (AI) LITERACY LEVELS OF UNIVERSITY STUDENTS AND THE CRITICAL ROLE OF EDUCATION IN THE PROCESS. International Journal of Social And Humanities Sciences, Cilt: 10 Sayı: 2, 127–144. https://ajindex.com/articles/1497757

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References (38)

  1. Beltekin, N. (2014). An analysis on relation of manpower demand and education (Business advertisement case). Electronic Journal of Social Sciences, 13(51), 226-240. https://doi.org/10.17755/esosder.72371
  2. Bozkurt, A. (2023). ChatGPT, generative artificial intelligence and algorithmic paradigm shift. CRES Journal, 4(1), 63- 72. https://doi.org/10.59320/alanyazin.1283282
  3. Brey, P., & Søraker, J. H. (2009). Philosophy of computing and information technology. Philosophy of Technology and Engineering Sciences, 1341-1407, 10.1016/B978-0-444-51667-1.50051-3
  4. Briganti, G., & Le Moine, O. (2020). Artificial intelligence in medicine: Today and tomorrow. Frontiers of Medicine, 7, 27, 10.3389/fmed.2020.00027
  5. Buchanan, B. G. (2005). A (Very) brief history of artificial intelligence. AI journal, 26(4), 53-60. https://doi.org/10.1609/aimag.v26i4.1848
  6. Büyüköztürk, Ş. (2010). Handbook of Data Analysis for Social Sciences. Ankara: Pegem Publishing
  7. Chiu, T. K. F. (2021). A holistic approach to the design of artificial intelligence education for k-12 schools. TechTrends, 65(5), 796-807, 10.1007/s11528-021-00637-1
  8. Copeland, J. (2004). The Essential Turing. Oxford: Clarendon.
  9. Çelebi, V., & İnal, A. (2019). The question of ethics in the context of artificial intelligence. Journal of International Social Research, 12(66), 651-661.
  10. Çelebi, C., Yılmaz, F., Demir, U., & Karakuş, F. (2023). Artificial intelligence literacy: An adaptation study. Instructional Technology and Lifelong Learning, 4(2), 291-306. https://doi.org/ 10.52911/itall.1401740
  11. Çelebi, C., Demir, U., & Karakuş, F. (2023). Examining studies on artificial intelligence literacy using the systematic review method. Journal of Necmettin Erbakan University Ereğli Faculty of Education 5(2), 535-560. https://doi.org/ 10.51119/ereegf.2023.67
  12. Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2012). Multivariate Statistics for Social Sciences: SPSS and Lisrel Applications. Ankara: Pegem Yayıncılık
  13. Field, A. (2000). Discovering Statistics using SPSS for Windows. London, Thousand Oaks, Sage Publications, New Delhi.
  14. Flasiński, M. (2016). Introduction to Artificial Intelligence. Springer.
  15. Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5-14
  16. Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education
  17. European Journal of Education, 57(4), 542-570, 10.1111/ejed.12533
  18. Hornberger, M., Bewersdorff, A., & Nerdel, C. (2023). What do university students know about Artificial Intelligence? Development and validation of an AI literacy test. Computers and Education: Artificial Intelligence, 5. https://doi.org/10.1016/j.caeai.2023.100165
  19. Ihde, D. (1990). Technology and the Life World: From Garden to Earth. Indiana university press.
  20. Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, et al. (2023 ). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, Article 102274, 10.1016/j.lindif.2023.102274
  21. Kong, S. C., Cheung, W. M. Y., & Zhang, G. (2022). Evaluating artificial intelligence literacy courses for fostering conceptual learning, literacy and empowerment in university students: Refocusing to conceptual building. Computers in Human Behavior Reports, 7, Article 100223, 10.1016/j.chbr.2022.100223
  22. Köse, B., Radıf, H., Uyar, B., Baysal, İ. & Demirci, N. (2023). The Importance of Artificial Intelligence in Education According to Teachers' Views. Journal of Social, Humanities and Administrative Sciences, 9(71):4203-4209. DOI: http://dx.doi.org/10.29228/JOSH AS.74125
  23. Lane, M., Williams, M., & Broecke, S. (2023). The impact of AI on the workplace: Main findings from the OECD AI surveys of employers and workers OECD social, employment and migration working papers. Advance online publication, 10.1787/ea0a0fe1-en
  24. Laupichler, M. C., Aster, A., Schirch, J., & Raupach, T. (2022). Artificial intelligence literacy in higher and adult education: A scoping literature review. Computers and Education Artificial Intelligence 3(4):100101. DOI:10.1016/j.caeai.2022.100101
  25. Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410-425. https://doi.org/10.3390/educsci13040410
  26. Luckin, B. (2023). Artificial intelligence could lead to a serious change in education. Accessed from: https://www.perspektif.online/yapay-zeka
  27. Mertala, P., Fagerlund, J., & Calderon, O. (2022). Finnish 5th and 6th grade students' pre-instructional conceptions of artificial intelligence (AI) and their implications for AI literacy education. Computers and Education: Artificial Intelligence, 3, 100095.
  28. Mor, Ş. (2023). Artificial intelligence literacy in early childhood education: Opportunities and challenges. Accessed form: https://dijitalmedyavecocuk.bilgi.edu.tr
  29. Moor, J. (2006). The Dartmouth College artificial intelligence conference: The next fifty years. AI Journal, 27(4), 87-91.
  30. Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers & Education: Artificial Intelligence, 2, Article 100041, 10.1016/j.caeai.2021.100041
  31. O’Regan, G. (2012). A Brief History of Computing. London: Springer-Verlag
  32. Southworth, K., Migliaccio, J.[J.], Glover, J[Ja'Net], Glover, D., Reed, C., McCarty, J.,Brendemuhl, A. T. (2023). Developing a model for AI across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers & Education: Artificial Intelligence, 4, Article 100127, 10.1016/j.caeai.2023.100127
  33. Su, J., Ng, D.T., & Chu, S. K. (2023). Artificial intelligence (AI) literacy in early childhood education: The challenges and opportunities. Computers and Education: Artificial Intelligence, 4. https://doi.org/10.1016/j.caeai.2023.100124
  34. Tosun, A. (2023). A Theoretical perspective on innovation with artificial intelligence modeling for sustainable education. International Social Mentality and Researcher Thinkers Journal, 9(78), 5408-5411. DOI: http://dx.doi.org/10.29228/sm ryj.73883
  35. Yetişensoy, O., & Rapoport, A. (2023). Artificial intelligence literacy teaching in social studies education. Journal of Pedagogical Research, 7(3), 100-110. https://doi.org/10.33902/JPR.202320866
  36. Yi, Y. (2021). Establishing the concept of AI literacy. Jahr Eur. J. Bioethics 12, 353–368
  37. Wang, B., Rau, P.-L. P., & Yuan, T. (2022). Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale. Behaviour & Information Technology, 42(9), 1324–1337. https://doi.org/10.1080/0144929X.2022.2072768
  38. Xue, Y., & Wang, Y. (2022). [Artificial Intelligence for Education and Teaching. Wireless Communications and Mobile Computing https://doi.org/10.1155/2022/4750018