EVALUATION OF THE EFFECTIVENESS OF THE USE OF ARTIFICIAL INTELLIGENCE IN EDUCATIONAL ACTIVITIES USING THE GPT-4 MODEL AS AN EXAMPLE
https://doi.org/10.24412/2225-8264-2025-2-953
Abstract
The article examines the modern possibilities of digital transformation of the educational process, as well as possible challenges associated with the integration of the GPT-4 model into educational and scientific activities. The advantages of using generative artificial intelligence technologies are analyzed, including personalizing learning, accelerating research, and increasing access to education. Special attention is paid to issues such as academic integrity, technological limitations, and ethical aspects. The prospects of development are presented, including the introduction of hybrid educational models, the creation of adaptive trajectories of the educational process, the training of specialists and the improvement of training methods for highly qualified specialists in various sectors of the national economy. The work highlights the need for an integrated approach to minimize risks and effectively use GPT-4 in an educational environment. Based on the presented mathematical models, which formalize the influence of such factors as the formation of high-quality content generated by a neural network, the adaptability of information for the educational process, and consideration of the personal qualities of the individual being trained, it is possible to quantify the impact of the introduction of artificial intelligence technologies on the educational process. The use of mathematical models proposed in the study makes it possible in the future to adapt the process of graduating specialists who meet the requirements of employers by quantifying the competencies that an individual learns in the process of preparing for work.
About the Authors
L. A. PogorelovaRussian Federation
Lyudmila A. Pogorelova, Candidate of Economic Sciences
A. А. Pakhomova
Russian Federation
Antonina А. Pakhomova, Doctor of Economic Sciences
References
1. Eremina A. D., Grivtsova A. V., Galitsky I. M. [et al.] Digitalization of production processes using virtual and augmented reality systems (VR/AR) for the mechanical engineering industry in Russia. Drukerovskij vestnik = Drucker Bulletin. 2025; 1(63): 111–122. (In Russ.). DOI: 10.17213/2312-6469-2025-1-111-122. EDN SVLEYR.
2. Pogorelova L. A. Study of labor market transformations during the implementation of innovative artificial intelligence technologies. Vestnik Yuzhno-Rossijskogo gosudarstvennogo texnicheskogo universiteta (NPI). Seriya: Social`no-e`konomicheskie nauki = Bulletin of the South-Russian State Technical University (NPI). Series: Social and Economic Sciences. 2024; Vol. 17. 2: 166–175. (In Russ.). DOI 10.17213/2075-2067-2024-2-166-175. EDN EFOXYB
3. Gelfand A. M., Golubeva G. F., Kazakov Yu. M. [et al.] Using Artificial Intelligence in the Educational Process of Higher Education. E`rgodizajn = Ergodesign. 2025; 1 (27): 3–13. (In Russ.). DOI 10.30987/2658-4026-2025-1-3-13. EDN GUNDCH.
4. Jafarzade K. E. The Role of GPT Models in Education: Problems and Their Solutions. Cloud and Distributed Computing Systems in Electronic Control. ORVS - 2023: Proceedings of the 4th International Scientific and Technical Conference, Pereslavl-Zalessky, November 28, 2023. Kursk: «Universitetskaya kniga», 2024. Pp. 31-34. EDN OYMYHA.
5. Grigorieva N. N., Prusakov I. E. Artificial Intelligence and Its Impact on the Economy. Molodaya nauka Sibiri = Young Science of Siberia. 2023; 4 (22): 415-420. EDN VZCISX. (In Russ.).
6. Velichko M. V., Bobovich T. A. Artificial Intelligence in Education: The Role of Chatbots. Applied Artificial Intelligence: Prospects and Risks: Proceedings of the International Scientific Conference, St. Petersburg, October 17, 2024. St. Petersburg: St. Petersburg State University of Aerospace Instrumentation, 2024. Pp. 144–145. EDN IXKZVE.
7. Nagornova A. Yu., Sheraizina R. M., Khachaturova K. R. [et al.] Artificial Intelligence in Education: Application Options: A Collective Monograph. Ulyanovsk: IP Kenshenskaya Victoria Valerievna (Zebra Publishing House), 2024. 188 p. EDN HKSIVE.
8. Tikhonovetskaya I: Artificial Intelligence in Education: Challenges and Risks. Informatization of Education and Methodology of Electronic Learning: Digital Technologies in Education: Proceedings of the VIII International Scientific Conference. In 4 parts. Krasnoyarsk, September 24-27, 2024. Krasnoyarsk: Krasnoyarsk State Pedagogical University named after V: Astafiev, 2024. Pp. 302-306. EDN DFYZQP.
9. Kolbachev E. B. Production Systems of Machine-Building Enterprises and Their Organizational and Economic Evolution. Problemy` mashinostroeniya i avtomatizacii = Problems of Mechanical Engineering and Automation. 2003; 2: 12-16. EDN HKZZRF. (In Russ.).
10. Valtukh K. K. Information Theory of Value. Novosibirsk: Nauka, 1996. 626 p.
11. Pogorelova L. A., Ruytsi Ch. Information assessment of personnel: prospects for the development of the method. Vestnik Yuzhno-Rossijskogo gosudarstvennogo texnicheskogo universiteta (NPI). Seriya: Social`no-e`konomicheskie nauki = Bulletin of the South-Russian State Technical University (NPI). Series: Social and Economic Sciences. 2017; 1: 67–70. (In Russ.). DOI 10.17213/2075-2067-2017-1-67-70. EDN YNZWEB.
12. Wikipedia. URL: https://ru.wikipedia.org/wiki/ChatGPT
13. Discovering the possibilities of GPT-4: five amazing projects within the HustleGPT Challenge: Artificial Intelligence. Internet forum «Habr». URL: https://habr.com/ru/articles/728102/.
14. Van den Berg G., du Plessis E. ChatGPT and Generative AI: Possibili-ties for Its Contribution to Lesson Planning, Critical Thinking and Openness in Teacher Education. Education Sciences. 2023; 13 (10): 998. URL: https://doi.org/10.3390/educsci13100998.
15. Generative AI for Customizable Learning Experiences. Scientific journal “MDPI”. T. 16; 7. URL: https://www.mdpi.com/2071-1050/16/7/3034.
16. A summary of evidence on inclusive education. Online library “ERIC”. URL: https://files.eric.ed.gov/fulltext/ED596134.pdf.
17. Transforming Education: A Comprehensive Review of Generative Arti-ficial Intelligence in Educational Settings through Bibliometric and Content Analysis. Scientific journal «MDPI». Vol. 15; 17. URL: https://www.mdpi.com/2071-1050/15/17/12983.
18. The ChatGPT neural network wrote a diploma for a Russian student. Edition «CNews». URL: https://www.cnews.ru/news/top/2023-02-01_nejroset_chatgpt_napisala_diplom.
19. Kalyagina E. I., Ankudinova M. D. Generative language models in science and education: advantages and disadvantages. Digital transformations in education (E-Digital Siberia’2024): Proceedings of the VIII International scientific and practical conference, Novosibirsk, April 24-25, 2024. Novosibirsk: Siberian State Transport University, 2024. Pp. 123-128. EDN WVHEBF.
20. Galyavieva L. Sh., Khusainova A. T., Solnyshkina M. I. Complexity of educational texts as a function of terminological density. Ucheny`e zapiski nacional`nogo obshhestva prikladnoj lingvistiki = Scientific notes of the National Society of Applied Linguistics. 2023; 2 (42): 33-50. EDN EJMNSY. (In Russ.).
21. Lashchik N. M. Using reinforcement learning to identify relationships between recognized objects. Vy`sokoproizvoditel`ny`e vy`chislitel`ny`e sistemy` i texnologii = High-performance computing systems and technologies. 2024. Vol. 8; 1: 104–108. EDN FTJOFF. (In Russ.).
Supplementary files
Review
For citations:
Pogorelova L.A., Pakhomova A.А. EVALUATION OF THE EFFECTIVENESS OF THE USE OF ARTIFICIAL INTELLIGENCE IN EDUCATIONAL ACTIVITIES USING THE GPT-4 MODEL AS AN EXAMPLE. Herald of Siberian Institute of Business and Information Technologies. 2025;14(2):45-52. (In Russ.) https://doi.org/10.24412/2225-8264-2025-2-953