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How Students Use Generative AI: Insights from a Czech Survey Cover

How Students Use Generative AI: Insights from a Czech Survey

Open Access
|Dec 2025

References

  1. Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152
  2. Almassaad, A., Alajlan, H., & Alebaikan, R. (2024). Student Perceptions of Generative Artificial Intelligence: Investigating Utilization, Benefits, and Challenges in Higher Education. Systems, 12(10), 385. https://doi.org/10.3390/systems12100385
  3. Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. SSRN. https://doi.org/10.2139/ssrn.4337484
  4. Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT ‘21) (pp. 610–623). Association for Computing Machinery (ACM), New York, NY, USA. https://doi.org/10.1145/3442188.3445922
  5. Berg, C. (2023). The Case for Generative AI in Scholarly Practice. SSRN. https://doi.org/10.2139/ssrn.4407587
  6. Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20, 43. https://doi.org/10.1186/s41239-023-00411-8
  7. Chan, C. K. Y., & Lee, K. K. W. (2023). The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and Millennial Generation teachers? arXiv. https://doi.org/10.48550/arXiv.2305.02878
  8. Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: the state of the field. International Journal of Educational Technology in Higher Education, 20, 22. https://doi.org/10.1186/s41239-023-00392-8
  9. Curry, D. (2025). ChatGPT Revenue and Usage Statistics (2025). Business of Apps. https://www.businessofapps.com/data/chatgpt-statistics/
  10. Dehouche, N., & Dehouche, K. (2023). What is in a Text-to-Image Prompt: The Potential of Stable Diffusion in Visual Arts Education. arXiv. https://doi.org/10.48550/arXiv.2301.01902
  11. Giray, L. (2023). Prompt Engineering with ChatGPT: A Guide for Academic Writers. Annals of Biomedical Engineering, 51, 2629–2633. https://doi.org/10.1007/s10439-023-03272-4
  12. Harrer, S. (2023). Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine. eBioMedicine, 90, 104512. https://doi.org/10.1016/j.ebiom.2023.104512
  13. Malmström, H.; Stöhr, C.; Ou, A. W. (2023). Chatbots and other AI for learning: A survey of use and views among university students in Sweden. Chalmers University of Technology: Göteborg, Sweden. https://research.chalmers.se/publication/535715/file/535715_Fulltext.pdf
  14. Maerten, A.-S., & Soydaner, D. (2023). From paintbrush to pixel: A review of deep neural networks in AI-generated art. arXiv. https://doi.org/10.48550/arXiv.2302.10913
  15. Mizumoto, A., & Eguchi, M. (2023). Exploring the Potential of Using an Ai Language Model for Automated Essay Scoring. SSRN. https://doi.org/10.2139/ssrn.4373111
  16. Murphy Kelly, S. (2023). Microsoft is bringing ChatGPT technology to Word, Excel and Outlook. CNN Business. https://edition.cnn.com/2023/03/16/tech/openai-gpt-microsoft-365/index.html
  17. Peres, R., Schreier, M., Schweidel, D., & Sorescu, A. 2023. On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice. International Journal of Research in Marketing, 40(2), 269–275. https://doi.org/10.1016/j.ijresmar.2023.03.001
  18. Safi, R. (2025). Detecting Plagiarism in the Age of Generative AI: An Exploratory Experiment. Communications of the Association for Information Systems, 56, 594–612. https://doi.org/10.17705/1CAIS.05624
  19. Turing, A. M. (1950). Computing Machinery and Intelligence. Mind, 59(236), 433–460. https://doi.org/10.1093/mind/LIX.236.433
  20. UNESCO. (2023) Guidance for generative AI in education and research. ISBN 978-92-3-100612-8. https://doi.org/10.54675/EWZM9535
  21. Warschauer, M., Tseng, W., Yim, S., Webster, T., Jacob, S., Du, Q, & Tate, T. (2023). The Affordances and Contradictions of AI-Generated Text for Writers of English as a Second or Foreign Language. SSRN. https://doi.org/10.2139/ssrn.4404380
DOI: https://doi.org/10.2478/acc-2025-0013 | Journal eISSN: 2571-0613 | Journal ISSN: 1803-9782
Language: English
Page range: 31 - 46
Published on: Dec 31, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2025 Ladislav Luc, Polina Fediaeva, Jiří Sedláček, published by Technical University of Liberec
This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 License.