KaydedilenlerDerginizi ekleyin

Dergiler / Acta Infologica / 2026 / Volume: 9 Issue: 1

Generative AI in Higher Education: Students’ Perspectives on Adoption, Ethical Concerns, and Academic Impact

Gökçe Karahan Adalı(Haliç University, Faculty of Business Administration, Management Information Systems)0000-0001-8567-4626
Asiye Bilgili(İstanbul Beykent University, Faculty of Engineering and Architecture, Department of Computer Engineering)0000-0002-9776-5119
Sayfa
—
Yayın Tarihi
2025-06-30
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

This research contributes to the growing discourse on GenAI in higher education by providing evidence-based insights for developing more nuanced and effective AI integration strategies.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:This study explores the adoption patterns of Generative Artificial Intelligence (GenAI) tools among 226 university students from various departments in Turkish higher education institutions, revealing unexpected relationships between age, discipline, and ethical concerns.Through quantitative analysis of university students’ survey responses, three distinct clusters of GenAI users’ re indentified: high adopters with low ethical concerns, moderate adopters with high ethical awareness, and low adopters with moderate ethical considerations.
📊
Temel Bulgular & Veri:Notably, the findings challenge the prevalent assumption about younger students’ technology adoption, revealing a strong positive correlation between age and AI tool preferences (r=.858, p<.01).
💡
Sonuç & Katkı:This research contributes to the growing discourse on GenAI in higher education by providing evidence-based insights for developing more nuanced and effective AI integration strategies.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Generative AI · Higher Education · Ethical Concerns

Abstract

This study explores the adoption patterns of Generative Artificial Intelligence (GenAI) tools among 226 university students from various departments in Turkish higher education institutions, revealing unexpected relationships between age, discipline, and ethical concerns.Through quantitative analysis of university students’ survey responses, three distinct clusters of GenAI users’ re indentified: high adopters with low ethical concerns, moderate adopters with high ethical awareness, and low adopters with moderate ethical considerations. Notably, the findings challenge the prevalent assumption about younger students’ technology adoption, revealing a strong positive correlation between age and AI tool preferences (r=.858, p<.01). The study also revealed significant gender and disciplinary variations, with female and non-STEM students expressing stronger ethical concerns (p<.05 and p<.01, respectively). While students recognized GenAI’s potential to enhance academic productivity, they expressed concerns about misinformation, plagiarism, and AI-enabled inequalities. These findings suggest the need for differen tiated approaches to AI integration in higher education, considering age-based adoption patterns and discipline-specific variations. The results call for targeted institutional policies addressing ethical literacy, disciplinary needs, and equitable AI access. This research contributes to the growing discourse on GenAI in higher education by providing evidence-based insights for developing more nuanced and effective AI integration strategies.

🔖

Bu Makaleye Atıf Yap

Adalı, G. K., Bilgili, A. (2025). Generative AI in Higher Education: Students’ Perspectives on Adoption, Ethical Concerns, and Academic Impact. Acta Infologica, Volume: 9 Issue: 1. https://doi.org/10.26650/acin.1670197

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (35)

  1. Albadarin, Y., Saqr, M., Pope, N., & Tukiainen, M. (2024). A systematic literature review of the empirical research on ChatGPT in education. google scholar
  2. Discover Education, https://doi.org/10.1007/s44217-024-00138-2 google scholar
  3. Ali, D., Fatemi, Y., Boskabadi, E., Nikfar, M., Ugwuoke, J., & Ali, H. (2024). ChatGPT in Teaching and Learning: A Systematic Review. Education google scholar
  4. Sciences, 14(6), 643. https://doi.org/10.3390/educsci14060643 google scholar
  5. Chakraborty, D., Kar, A. K., Patre, S., & Gupta, S. (2024). Enhance online grocery shopping trust through generative AI chatbots. Journal of Business Research, https://doi.org/10.1016/j.jbusres.2024.114737 google scholar
  6. Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International google scholar
  7. Journal of Educational Technology in Higher Education, 20(1), doi:10.1186/s41239-023-00411-8 google scholar
  8. Chaudhry, S., & Kazim, H. (2024). AI-driven learning: Enhancing student engagement and critical thinking. Journal of Educational Technology, 35(2), 98-112. https://doi.org/10.1016/j.jet.2024.02.005 google scholar
  9. Clark, T., Johnson, R., & Wang, M. (2024). Generative AI in learning environments: A framework for ethical use. Computers and Education, 180, 104432. https://doi.org/10.1016/j.compedu.2024.104432 google scholar
  10. Eysenbach, G. (2023). The Role of ChatGPT, Generative Language Models, and Artificial Intelligence in Medical Education: A Conversation With ChatGPT and a Call for Papers. JMIR Medical Education, 9(1), e46885. https://doi.org/10.2196/46885 google scholar
  11. Fisher, R., & Haake, J. (2024). The ethics of AI integration in higher education: Emerging trends and concerns. AI & Society, 39(3), 567-580. https://doi.org/10.1007/s00146-023-01567-9 google scholar
  12. Henke, J. (2025). New normal: The increasing adoption of generative AI in university communication departments. Journal of Science Communication, 24(2), A07. https://doi.org/10.22323/2.24020207 google scholar
  13. Jo, H. (2024). From concerns to benefits: a comprehensive study of ChatGPT usage in education. International Journal of Educational Technology in Higher Education, https://doi.org/10.1186/s41239-024-00471-4 google scholar
  14. Johnston, B., Strachan, R., & Mangat, M. (2024). Student perspectives on the use of generative artificial intelligence technologies in higher education. International Journal for Educational Integrity, 20(1), Article 149, doi:10.1007/s40979-024-00149-4 google scholar
  15. Khlaif, Z. N., Ayyoub, A., Hamamra, B., Bensalem, E., Mitwally, M. A. A., Hattab, M. K., & Shadid, F. (2024). University teachers’ views on the adoption and integration of generative AI tools for student assessment in higher education. Education Sciences, 14(10), 1090. https://doi.org/10.3390/educsci14101090 google scholar
  16. Kirk, C. P., & Givi, J. (2025). The AI-authorship effect: Understanding authenticity, moral disgust, and consumer responses to AI-generated marketing communications. Journal of Business Research, https://doi.org/10.1016/j.jbusres.2024.114984 google scholar
  17. Kumar, A., Shankar, A., Hollebeek, L. D., Behl, A., & Lim, W. M. (2025). Generative artificial intelligence (GenAI) revolution: A deep dive into GenAI adoption. Journal of Business Research, https://doi.org/10.1016/j.jbusres.2024.115160 google scholar
  18. Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and Opportu- nities of Generative AI in Higher Education as Explained by ChatGPT. Education Sciences, 13(9), 856. https://doi.org/10.3390/ educsci13090856 google scholar
  19. Moorhouse, B. L., Kohnke, L., & Zou, D. (2023). ChatGPT in education: Opportunities, challenges, and future directions. Educational Technology Research and Development, 71(1), 85-99. https://doi.org/10.1007/s11423-023-10109-8 google scholar
  20. Montenegro-Rueda, M., Fernández-Cerero, J., Fernández-Batanero, J. M., & López-Meneses, E. (2023). Impact of the Implementation of ChatGPT in Education: A Systematic Review. Computers, 182, 104463. https://doi.org/10.1016/j.compedu.2023.104463 google scholar
  21. Ogunleye, B., Zakariyyah, K. I., Ajao, O., Olayinka, O., & Sharma, H. (2024). A Systematic Review of Generative AI for Teaching and Learning Practice. Education Sciences, 14(6), 636. https://doi.org/10.3390/educsci14060636 google scholar
  22. Ravšelj, D., Keržič, D., Tomaževič, N., Umek, L., & Brezovar, N. (2025). Higher education students’ perceptions of ChatGPT: A global study of early reactions. PLOS ONE, 20(3), e0267890. https://doi.org/10.1371/journal.pone.0267890 google scholar
  23. Rosenblatt, F. (1958). The Perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review, 65(6), 386–408. https://doi.org/10.1037/h0042519 google scholar
  24. Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning representations by back-propagating errors. Nature, 323(6088), 533–536. https://doi.org/10.1038/323533a0 google scholar
  25. Russell, S., & Norvig, P. (2021). Artificial intelligence: A Modern Approach* (4th ed.). Pearson. google scholar
  26. Saaida, M. B. (2023). AI-Driven transformations in higher education: Opportunities and challenges. International Journal of Educational Research and Studies, 29-36, DOI 10.5281/zenodo.8164414 google scholar
  27. Sandu, R., Gide, E., & Elkhodr, M. (2024). The role and impact of ChatGPT in educational practices: insights from an Australian higher education case study. Discover Education, 2(1), 14. https://doi.org/10.1007/s44217-024-00014-7 google scholar
  28. Sergeeva, O. V., M. R. Zheltukhina, T. Shoustikova, L. R. Tukhvatullina, D. A. Dobrokhotov, & S. V. Kondrashev. (2025). Understanding higher education students’ adoption of generative AI technologies: An empirical investigation using UTAUT2. Contemporary Educational Technology, 17(2), ep. 571. https://doi.org/10.30935/cedtech/16039 google scholar
  29. Shoufan, A. (2023). Students’ perception of AI-generated content: A critical review. International Journal of Educational Technology in Higher Education, 20(1), 12. https://doi.org/10.1186/s41239-023-00358-9 google scholar
  30. Song, Y., & Wang, M. (2024). A Survey and Research on the Use of Artificial Intelligence by Chinese Design-College Students. Buildings, 62(3), 567–589, doi:10.3390/buildings14092957 google scholar
  31. Sun, H., & Li, P. (2024). AI, academic integrity, and pedagogical shifts: The new landscape of higher education. Journal of Applied Learning and Teaching, 5(3), 45-60. https://doi.org/10.37074/jalt.2024.5.3.9 google scholar
  32. Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59(236), 433–460. https://doi.org/10.1093/mind/LIX.236.433 google scholar
  33. Xames, M. D., & Shefa, J. (2023). ChatGPT for research and publication: Opportunities and challenges. Journal of Applied Learning and google scholar
  34. Teaching, 390-395, 4(2), 123-134. https://doi.org/10.37074/jalt.2023.4.2.7 google scholar
  35. Zhai, X. (2023). Exploring the role of AI in personalized learning: A systematic review. International Journal of Artificial Intelligence in Education, 33(1), 1-27. https://doi.org/10.1007/s40593-023-00291-4 google scholar