Students’ concerns about using AI in their studies

Keywords: AI, AI tools, AI use, concerns, AI in studies

Abstract

Research objectives (aims) and problem(s): The research concepts were developed based on Ulrich Beck’s theory of risk, Pierre Bourdieu’s concept of cultural capital, and Paulo Freire’s concept of critical pedagogy. The research problem is formulated as follows: What concerns do students at Kraków universities have about using artificial intelligence while studying? It was assumed that they are related, in part, to dependence on technology, algorithmic flaws, and the potential replacement of humans by AI.

Research methods: The study was conducted between 20 January and 20 March 2025, using the diagnostic survey method (CAWI) on a quota sample of 1,529 students, via the Google Forms platform. Frequency analyses and descriptive statistics were applied.

Process of argumentation: The empirical findings were interpreted in relation to broader social and educational processes associated with technological risk, digital inequalities, and critical approaches to AI in education.

Research findings and their impact on the development of educational sciences: Respondents rated their concerns using a five-point Likert scale. The strongest concerns were related to the possibility of AI replacing humans in professions such as teaching or translation (30.1% selected level 5, the highest level of concern; 13.7% reported no concern at all). High levels of concern were also recorded regarding errors and imperfections in algorithms (level 4 – 24.6%, level 5 – 23.2%). The results indicate a growing sense of social anxiety associated with the increasing use of technology, particularly concerns related to the loss of control over technological systems and the potential for technological dependency.

Conclusions and/or recommendations: Literature analyses indicate a shortage of empirical studies on students’ concerns regarding AI use in higher education and highlight the need to promote informed, responsible AI use in academic environments. The study contributes to the emerging debate on AI-related risk perception among university students and expands research on technological inequalities in higher education.

References

Adamczyk, M. (2015). Kapitał kulturowy jako czynnik reprodukcji nierówności społecznych w teorii Pierre’a Bourdieu [Cultural capital as a factor in the reproduction of social inequalities in Pierre Bourdieu’s theory]. In A. Kowalski (Ed.), Przemiany społeczne we współczesnej Polsce i ich konsekwencje. Perspektywa socjologiczna (pp. 13–30). Katolicki Uniwersytet Lubelski Jana Pawła II.

Beck, U. (2002). Społeczeństwo ryzyka. W drodze do innej nowoczesności [Risk society: Towards a new modernity]. Scholar.

Beck, U. (2012). Światowe społeczeństwa ryzyka. W poszukiwaniu utraconego bezpieczeństwa [Global risk societies: In search of lost security]. Scholar.

Bourdieu, P. (2006). Dystynkcja: klasy i klasyfikacje [Distinction: classes and classifications]. In A. Jasińska-Kania, L. M. Nijakowski, J. Szacki, & M. Ziółkowski (Eds.), Współczesne teorie socjologiczne, vol. 2 (pp. 634–650). Wydawnictwo Naukowe Scholar.

Bourdieu P. (2008), Zmysł praktyczny [Practical reason]. Wydawnictwo Uniwersytetu Jagielońskego.

Bourdieu P., & Passeron J. C. (1990). Reprodukcja. Elementy teorii systemu nauczania [Reproduction: Elements of a theory of the education system]. Wydawnictwo Naukowe PWN.

Bourdieu, P., & Wacquant, L. (2006). Logika pól [Field logic]. In A. Jasińska-Kania, L. M. Nijakowski, J. Szacki, & M. Ziółkowski (Eds.), Współczesne teorie socjologiczne, vol. 2 (pp. 651–662). Wydawnictwo Naukowe Scholar.

Bulathwela, S., Pérez-Ortiz, M., Holloway, C., Cukurova, M., & Shawe-Taylor, J. (2024). Artificial intelligence alone will not democratise education: On educational inequality, techno-solutionism and inclusive tools. Sustainability, 16(2), 781. https://doi.org/10.3390/su16020781

Chan, C. K. Y., & Tsi, L. H. Y. (2024). The AI revolution in education: Will AI replace or assist teachers in higher education? Studies in Educational Evaluation, 83, 101395. https://doi.org/10.1016/j.stueduc.2024.101395

Cotton, D., Cotton, P., & Shipway, R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228–239. https://doi.org/10.1080/14703297.2023.2190148

Freire, P. (1970). Pedagogy of the oppressed. Continuum.

Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education. Routledge.

Hryniewicz, J. T. (2014). Społeczeństwo ryzyka. teoria, model, analiza krytyczna [Risk society: The theory, model, critical analysis]. Przegląd Socjologiczny, 2, 9–33.

Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Luckin, R. (2018). Machine learning and human intelligence: The future of education for the 21st century. UCL Institute of Education Press.

Łukasik, M. (2024). The future of the translation profession in the era of artificial intelligence: Survey results from Polish translators, translation trainers, and students of translation. Lublin Studies in Modern Languages and Literature, 48(3), 25–39. https://doi.org/10.17951/lsmll.2024.48.3.25-39

Minsky, M. (1986). The society of mind. Touchstone.

Prensky, M. (2001). Digital natives, digital immigrants. On the Horizon, 9(5), 1–6. https://doi.org/10.1108/10748120110424816

Rudolph, J., Tan, S., & Tan, S. H. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching, 6(1), 342–363.

Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.

Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.

Stankiewicz, P. (2008). W świecie ryzyka. Niekończąca się opowieść Ulricha Becka [In a world of risk: Ulrich Beck’s never-ending story]. Studia Socjologiczne, 3(190), 117–134.

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10, 15. https://doi.org/10.1186/s40561-023-00237-x

Turner J. H. (2012) Struktura teorii socjologicznej [The structure of sociological theory]. Wydawnictwo Naukowe PWN.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16, 39. https://doi.org/10.1186/s41239-019-0171-0

Published
2026-06-30
How to Cite
Szast, M. (2026). Students’ concerns about using AI in their studies. Multidisciplinary Journal of School Education, 15(1 (29), 409-427. https://doi.org/10.35765/mjse.2026.1529.23