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

Yıl 2025, Cilt: 9 Sayı: 1, 147 - 166, 30.06.2025

Gökçe Karahan Adalı , Asiye Bilgili

https://doi.org/10.26650/acin.1670197

Öz

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.

Anahtar Kelimeler

Generative AI , Higher Education , Ethical Concerns , Technology Adoption

Kaynakça

• Albadarin, Y., Saqr, M., Pope, N., & Tukiainen, M. (2024). A systematic literature review of the empirical research on ChatGPT in education. google scholar
• Discover Education, https://doi.org/10.1007/s44217-024-00138-2 google scholar
• Ali, D., Fatemi, Y., Boskabadi, E., Nikfar, M., Ugwuoke, J., & Ali, H. (2024). ChatGPT in Teaching and Learning: A Systematic Review. Education google scholar
• Sciences, 14(6), 643. https://doi.org/10.3390/educsci14060643 google scholar
• 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
• Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International google scholar
• Journal of Educational Technology in Higher Education, 20(1), doi:10.1186/s41239-023-00411-8 google scholar
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• Russell, S., & Norvig, P. (2021). Artificial intelligence: A Modern Approach* (4th ed.). Pearson. google scholar
• 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
• 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
• 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
• 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
• 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
• 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
• Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59(236), 433–460. https://doi.org/10.1093/mind/LIX.236.433 google scholar
• Xames, M. D., & Shefa, J. (2023). ChatGPT for research and publication: Opportunities and challenges. Journal of Applied Learning and google scholar
• Teaching, 390-395, 4(2), 123-134. https://doi.org/10.37074/jalt.2023.4.2.7 google scholar
• 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