Science for Education Today, 2025, vol. 15, no. 4, pp. 136–157
UDC: 
378.1+37.03+51-77

Qualitative research of students’ cognitive preferences when using artificial intelligence

Gladkova L. N. 1 (Tumen, Russian Federation), Ravedovskaya U. Y. 1 (Tumen, Russian Federation), Semenovskikh T. V. 1 (Tumen, Russian Federation), Bulygina Y. V. 1 (Tumen, Russian Federation), Frolenkova A. L. 1 (Tumen, Russian Federation), Krezhevskikh O. V. 2 (Tyumen, Russian Federation)
1 Federal State Autonomous Educational Institution of Higher Education «Tyumen State University»
2 Federal State Autonomous Educational Institution of Higher Education "Tyumen State University"
Abstract: 

Introduction. The article discusses the problem of using artificial intelligence by students in research activities. The purpose of the study is to identify the types of cognitive preferences of students when using artificial intelligence.
Materials and Methods. In order to achieve the purpose of the study, the authors used complementary methods: theoretical ones – to analyze and systematize the provisions of Russian and international research investigations on the use of neural networks and AI technologies in higher education, as well as the analysis of regulatory documents of the Russian Federation; empirical methods include semi-structured in-depth interview as a method of qualitative research, typological analysis as a method of processing qualitative research data, and encoding. The study started at the beginning of the academic year 2024-2025. 14 students of Tyumen State University majoring in Primary education took part in it.
Results. The main results are the identification of the following types of students: "skeptic", "supporter", "pragmatist". In the students’ statements such categories as "Dissatisfaction/distrust", "Disappointment", "Satisfaction/trust" and "Inspiration" are fixed, which enabled the authors to trace various emotional states of students and revealed the need for research on the potential of AI in students’ research activities in terms of specific causes contributing to the appearance of these conditions. It was found that "skeptics" demonstrate a tendency to use AI responsibly in research activities, while "supporters" did not point to verifying the truth of knowledge obtained with the help of AI as a mandatory step in conducting research, and "pragmatists" more often use AI in solving standard, routine tasks.
Conclusions. Based on the results of the study, conclusions were drawn about the need for systematic work to improve the effectiveness of students’ interaction with artificial intelligence in the course of scientific work and the need for further research to comply with ethical and legal norms.

Keywords: 

Artificial intelligence; Students’ cognitive preferences; Students’ research activities; Types of students.

For citation:
Gladkova L. N., Ravedovskaya U. Y., Semenovskikh T. V., Bulygina Y. V., Frolenkova A. L., Krezhevskikh O. V. Qualitative research of students’ cognitive preferences when using artificial intelligence. Science for Education Today, 2025, vol. 15, no. 4, pp. 136–157. DOI: http://dx.doi.org/10.15293/2658-6762.2504.06
References: 
  1. Alotaibi N., Alshehri A. Prospers and obstacles in using artificial intelligence in Saudi Arabia higher education institutions – the potential of AI-based learning outcomes. Sustainability, 2023, vol. 15 (13), pp. 10723. DOI: https://doi.org/10723. 10.3390/su151310723
  2. Al-Zahrani A., Alasmari T. Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications. Humanities and Social Sciences Communications, 2024, vol. 11 (1). DOI: https://doi.org/10.1057/s41599-024-03432-4
  3. Ashikullah Md. Investigating the pros and cons of artificial intelligence (AI)-based systems: A case study on the use of ChatGPT in higher education in the Northern Region of Bangladesh. International Journal on Studies in English Language and Literature, 2024, vol. 12 (6), pp. 1-8. DOI: https://doi.org/10.20431/2347-3134.1206001
  4. Arowosegbe A., Alqahtani J., Oyelade T. Perception of generative AI use in UK higher education. Frontiers in Education, 2024, vol. 9 (4). DOI: https://doi.org/10.3389/feduc.2024.1463208
  5. Chanpradit T. Generative artificial intelligence in academic writing in higher education: A systematic review. Edelweiss Applied Science and Technology, 2025, vol. 9, pp. 889-906. DOI: https://doi.org/10.55214/25768484.v9i4.6128
  6. Durmus F. Swot analysis of the use of ChatGPT in education. Journal of Educational Studies and Multidisciplinary Approaches, 2024, vol. 4 (2), pp. 102. DOI: https://doi.org/10.51383/jesma.2024.102
  7. Jensen L., Buhl A., Sharma A., Bearman M. Generative AI and higher education: A review of claims from the first months of ChatGPT. Higher Education, 2024, vol. 89, pp. 1145-1161. DOI: https://doi.org/10.1007/s10734-024-01265-3
  8. Lund B., Wang T., Mannuru N. R., Nie B., Shimray S., Wang Z. ChatGPT and a new academic reality: Artificial intelligence-written research papers and the ethics of the large language models in scholarly publishing. Journal of the Association for Information Science and Technology, 2023, vol. 74 (5), pp. 570–581. DOI: https://doi.org/10.1002/asi.24750
  9. Puiu S., Doran N. M., Meghisan F., Badircea R., Manta A. Sustainable transformation of Romanian companies through industry 4.0, green production and environment commitment. Amfiteatru Economic, 2022, vol. 24 (59), pp. 46-60. DOI: https://doi.org/10.24818/EA/2022/59/46

10. Namjoo F., Liaghat E., Shabaziasl S., Modabernejad Z., Morshedi H. Students experience on self-study through AI. AI and Tech in Behavioral and Social Sciences, 2023, vol. 1 (3), pp. 35-42. DOI: https://doi.org/10.61838/kman.aitech.1.3.6

11. Shaalan I., Ahmad A. Linguistic Competence among Egyptian vs. Saudi EFL majors in light of utilizing artificial intelligence technology. International Journal of Computer-Assisted Language Learning and Teaching, 2024, vol. 14 (1), pp. 1–19. DOI: https://doi.org/10.4018/IJCALLT.361771

12. Shahzad F. Ethical AI use: Understanding perception of learning outcomes and equity. Asian Journal of Humanities and Social Studies, 2025, vol. 13 (1). DOI: https://doi.org/10ьотвч.24203/jcv4gx50

13. Shubha, T. A., Vaidya P., Ali N., Lund B. Integration of AI-based applications in education: How students feel about the ChatGPT era?. Global Knowledge, Memory and Communication, 2025, vol. DOI: https://doi.org/10.1108/GKMC-04-2024-0227

14. Stöhr C., Ou A. W., Malmström H. Perceptions and usage of AI chatbots among students in higher education across genders, academic levels and fields of study. Computers and Education Artificial Intelligence, 2024, vol. 7, pp. 100259. DOI: https://doi.org/10.1016/j.caeai.2024.100259

15. Supriyadi E., Pahmi S. Exploring the potential of AI tools in education: A thematic analysis of gemini.ai. Gema Wiralodra, 2024, vol. 15 (3), pp. (In Russian) DOI: https://doi.org/10.31943/gw.v15i3.771

16. Alekseev S. A. Attitude of student youth to the development and application of artificial intelligence technology. Sustainable Development Management, 2023, no. 4, pp. 73-77. (In Russian) URL: https://elibrary.ru/item.asp?id=54746819 DOI: https://doi.org/10.55421/2499992X_2023_4_73

17. Buyakova K. I., Dmitriev Ya. A., Ivanova A. S., Feshchenko A. V., Yakovleva K. I. Students’ and teachers’ attitudes towards the use of tools with generative artificial intelligence at the university. Education and Science, 2024, vol. 26 (7), pp. 160-193. (In Russian) URL: https://www.edscience.ru/jour/article/view/3927 URL: https://elibrary.ru/item.asp?id=69164054 DOI: https://doi.org/10.17853/1994-5639-2024-7-160-193

18. Vinichenko M. V., Ljapunova N. V., Chulanova O. L., Karacsony P. The nature of the influence of digitalization and artificial intelligence on the sociocultural environment and education in the conditions of the pandemic: Views of students of generation z Russia and Slovakia. Prospects of Science and Education, 2021, no. 3, pp. 26-42. (In Russian) URL: https://elibrary.ru/item.asp?id=46424166 DOI: https://doi.org/10.32744/pse.2021.3.2

19. Davydova G. I., Shlykova N. V. Risks and challenges in introducing artificial intelligence into higher education. Bulletin of Practical Psychology of Education, 2024, vol. 21 (3), pp. 62-69. DOI: https://doi.org/10.17759/bppe.2024210308 URL: https://elibrary.ru/item.asp?id=69196883

20. Kanygin G. V., Poltinnikova M. S., Koretskaya V. S. Problems of semantic reconstruction of a theoretical text in sociology. St. Petersburg Sociology Today, 2021, no. 16, pp. 44-63. (In Russian) URL: https://elibrary.ru/item.asp?id=47494371

21. Osipenko L. Ye., Kozitsyna Yu. V., Korotkov A. V. Research training and machine learning: From matching to convergence. Psychological and Pedagogical Research, 2022, vol. 14 (4), pp. 127-146. (In Russian) DOI: https://doi.org/10.17759/psyedu.2022140408

22. Petruneva R. M., Filatova M. N., Chudasova T. D. Electronic information and educational environment in higher education institution: Current state (on the example of VSTU). Primo Aspectu, 2024, no. 2, pp. 19-31. (In Russian) URL: https://elibrary.ru/item.asp?id=67973181 DOI: https://doi.org/10.35211/2500-2635-2024-2-58-19-31

23. Raitskaya L. K., Lambovska M. R. Prospects for ChatGPT application in higher education: A scoping review of international research. Integration of Education, 2024, vol. 28 (1), pp. 10-21. (In Russian) URL: https://elibrary.ru/item.asp?id=65006249 DOI: https://doi.org/10.15507/1991-9468.114.028.202401.010-021

24. Sadykova G. V., Kayumova A. R. Artificial intelligence technologies in the Russian educational context: Educators’ views. Prospects of Science and Education, 2024, no. 6, pp. 720-732. (In Russian) URL: https://elibrary.ru/item.asp?id=79560975 DOI: https://doi.org/10.32744/pse.2024.6.45 

25. Skvorchevsky K. A., Dyatlova O. V. Modern adaptive and intelligent digital learning systems: Mechanisms and potential. Educational Studies Moscow, 2024, no. 3, pp. 299-337. (In Russian) URL: https://elibrary.ru/item.asp?id=77251571 DOI: https://doi.org/10.17323/vo-2024-19751

26. Sysoyev P. V. Didactic properties and learning functions of neural networks. Prospects of Science and Education, 2024, no. 6, pp. 672-690. (In Russian) URL: https://elibrary.ru/item.asp?id=79560972 DOI: https://doi.org/10.32744/pse.2024.6.42 

27. Sysoyev P. V., Filatov E. M. Method of teaching students’ foreign language creative writing based on evaluative feedback from artificial intelligence. Prospects of Science and Education, 2024, no. 1, pp. 115-135. (In Russian) URL: https://elibrary.ru/item.asp?id=62769526 DOI: https://doi.org/10.32744/pse.2024.1.6 

28. Sysoyev P. V., Filatov E. M., Khmarenko N. I., Murunov S. S. Teacher vs artificial intelligence: A comparison of the quality of feedback provided by a teacher and generative artificial intelligence in assessing students' creative writin. Prospects of Science and Education, 2024, no. 5, pp. 694-712. (In Russian) URL: https://elibrary.ru/item.asp?id=74512715 DOI: https://doi.org/0.32744/pse.2024.5.41 

29. Sysoyev P. V. Artificial intelligence in education: Awareness, readiness and practice of using artificial intelligence technologies in professional activities by university faculty. Higher Education in Russia, 2023, vol. 32 (10), pp. 9-33. (In Russian) URL: https://elibrary.ru/item.asp?id=54967977 DOI: https://doi.org/10.31992/0869-3617-2023-32-10-9-33 

Date of the publication 31.08.2025