The meanings and value based risks of applying artificial intelligence in the educational sphere
https://doi.org/10.20913/2224-1841-2025-4-14
Abstract
Introduction. Currently, the rapid development of digital technologies is opening up new meanings for education, while simultaneously building a number of threats, value risks, problems of socio-psychological, ethical genesis of the use of artificial intelligence (AI) in education. Purpose setting. Awareness of threats and value risks under the influence of modern breakthrough technologies will allow the use of AI as a software product written in certain information codes and implementing specific algorithms created by man, therefore it can only be conditionally called intelligence, which will never replace natural intelligence, consciousness. Methodology and methods of the study. General scientific methods of analysis and synthesis of international best practices, comparative analysis, analysis of descriptions, generalization of research in Russian and foreign sources on the problem of the article. A systematic analysis of value risks and threats, problems made it possible to assess potential dangers and distortions of the value-semantic sphere of personality. Results. The results of the study. An analysis of psychological and pedagogical literature in Russian and foreign sources, in the Siberian State University of Engineering and Biotechnology has shown that the introduction of AI into the educational process has technological meanings and value risks, threats and problems associated with generative artificial intelligence in education. AI technologies are integrated into various services and systems that transform familiar services and forms of interaction beyond recognition. The negative effects of AI in education are divided into two groups. One group of value risks is related to technological threats to the security of students’ personal data. Another group of risks associated with the distortion of the value-semantic sphere of personality, the emergence of new pathological conditions and mental disorders. Conclusion. Underestimation of the risks and threats of the transformation of the value-semantic sphere of the individual under the influence of the digital environment and misunderstanding of the need for axiologization will lead to serious consequences related to the deformation of the mentality of Russian society and the loss of spiritual and moral guidelines for future generations. Only with a conscious and responsible approach to the introduction of innovations, as well as with the participation of highly qualified teachers, can society create an educational system that will meet the challenges of the modern world while maintaining its humanistic focus.
About the Author
N. A. KornienkoRussian Federation
Nina A. Kornienko – doctor of psychological sciences, professor, professor of the department of learning technology, pedagogy and psychology, Siberian State University of Engineering and Biotechnology.
147 Nikitina str., Novosibirsk, 630 039
References
1. Gerova N. V., Karelina M. V., Kastornova V.A. [et al.]. Artificial intelligence in education: a collective monograph. Ministry of Education of the Russian Federation, Institute of Content and Teaching Methods, Scientific School I. V. Robert «Informatization of education». Moscow, ISMO Publ., 2024, 303 p. (In Russ.)
2. Sheraizina R. M., Khachaturova K. R., Vodneva S. N. [et al.]. Artificial intelligence in education: application options: a collective monograph. Editor-in-chief A. Y. Nagornova. Ulyanovsk, Zebra Publ., 2024, 187 p. (In Russ.)
3. Nosova L. S., Leonova E.A., Selezneva E.A., Radchenko T.A. Artificial intelligence in the formation of professional competencies of future teachers: a monograph. Chelyabinsk, A. Miller Library CJSC, 2023, 175 p. (In Russ.)
4. Holmes W. Bialik M., Feydel C. Artificial intelligence in education: prospects and problems for teaching and learning. Translated from English by V. Skvortsov. Moscow, Alpina PRO Publ., 2022, 301 p. (In Russ.)
5. Alferyeva A.A. Artificial intelligence in education: how adaptive learning and digital assistants are changing the approach to the education and upbringing of adolescents. Bulletin of science, 2025, vol. 1, no. 1 (82), pp. 111–119. (In Russ.)
6. Ananin D. P., Komarov R. V., Remorenko I. M. How teachers and students use services based on generative artificial intelligence (MSPU case). Quality management of education: theory and practice of effective administration, 2025, no. 4, pp. 32–44. (In Russ.)
7. Andreeva E. Y. Interaction of students and artificial intelligence in the mirror of the transformation of the Russian educational paradigm. Modern science: actual problems of theory and practice. Series: Humanities, 2025, no. 5. pp. 42–45. (In Russ.)
8. Konstantinova L. V., Vorozhikhin V. V., Petrov A. M. [et al.] Generative artificial intelligence in education: discussions and forecasts. Open education, 2023, vol. 27, no. 2, pp. 36–48. (In Russ.)
9. Grishak S. N. Academic debates on the expansion of generative models of artificial intelligence in higher education: practical, ethical and philosophical aspects. Bulletin of Lugansk State Pedagogical University. Pedagogical Sciences series. Education, 2025, no. 1 (124), pp. 116–123. (In Russ.)
10. Suleymanov M. V., Tolstoukhov K. V., Vasilchenko E. I., Sereda S. V. Innovations in higher education: integration of artificial intelligence and modern technologies. Education management: theory and practice, 2025, no. 1–1, pp. 201–209. (In Russ.)
11. Kazaryan A. Y. Artificial intelligence in the processes of education and training, positive and negative aspects. International Journal of Humanities and Natural Sciences, 2023, no. 11–2 (86), pp. 214–216. (In Russ.)
12. Kovalev V. E., Balina T. N. The use of artificial intelligence technologies in teaching students of higher and secondary vocational education. Modernization of Russian society and education: new economic guidelines, management strategies, law enforcement and training issues: proceedings of the XXV Anniversary National Scientific Conference (with international participation), Taganrog, April 19–20, 2024. Taganrog, Taganrog Institute of Management and Economics, 2024, pp. 123–126. (In Russ.)
13. Kopovoy A. S., Smirnov V. M. Artificial intelligence (AI) in professional education. The world of science, culture, and education, 2025, no. 4 (113), pp. 129–132. (In Russ.)
14. Mantulenko V. V., Mantulenko A. V. Artificial intelligence in education: contradictions in use. Concept, 2024, no. 6, pp. 221–237. (In Russ.)
15. Monakhova L. Yu., Fedotova V. S. Praxiology of generative artificial intelligence in education: from routine tasks to the development of a teacher’s creative thinking. Perspectives of science and Education, 2025, no. 4 (76), pp. 567–590. (In Russ.)
16. Muller O. Yu., Kamaleeva A. R. Digital competence of university teachers in the field of artificial intelligence. The Northern region: science, education, culture, 2025, vol. 26, no. 1, pp. 97–107. (In Russ.)
17. Mukhlaeva T. V. Generative artificial intelligence: transformations in education, prospects and dynamics. People and education, 2025, no. 2 (83), pp. 142–153. (In Russ.)
18. Kuzminov Ya. I., Kruchinskaya E. V., Gruzdev I.A., Naumov A.A. Laggards and outperformers: how students use generative artificial intelligence for educational purposes. Higher education in Russia, 2025, vol. 34, no. 6, pp. 9–35. (In Russ.)
19. Platov A. V., Gavrilina Yu. I. Artificial intelligence in education: evolution and barriers. Scientific result. Pedagogy and psychology of education, 2024, vol. 10, no. 1, pp. 26–43. (In Russ.)
20. Safontseva N. Yu., Krivenko-Bakhmutskaya Yu. N. Artificial intelligence in education: technological meanings and value risks. Values and meanings, 2025, no. 1 (95), pp. 19–37. (In Russ.)
21. Solomakha E. N., Zinovieva S. A., Konyaeva E. A. Analysis of the use of artificial intelligence in professional education. Problems of modern pedagogical education, 2025, no. 86–2, pp. 288–290. (In Russ.)
22. Solomakha E. N., Zhitnikova N. E., Razorenov V.A. Analysis of research on the use of neural networks and artificial intelligence in professional education. Problems of modern pedagogical education, 2025, no. 87–4, pp. 332–336. (In Russ.)
23. Gushchin A. V., Vaganova O. I., Filatova O. N. Features of the implementation of the information strategy of a higher educational organization. Proceedings of the Baltic State Academy of the Fishing Fleet, 2021, no. 3 (57), pp. 47–51. (In Russ.)
24. Sysoev P. V. Personalized learning based on artificial intelligence technologies: how ready are modern students for new educational opportunities. Higher education in Russia, 2025, vol. 34, no. 2, pp. 51–71. (In Russ.)
25. Sabitova K. S., Filatova O. N. Artificial intelligence in the system of professional education. Professional self-determination of youth of the innovative region: problems and prospects: collection of articles based on the materials of the All-Russian (national) Scientific and Practical Conference, Krasnoyarsk, November 14–25, 2022, Part 2. Krasnoyarsk; Chelyabinsk; Nizhny Novgorod; Moscow, Krasnoyarsk State Agrarian University, 2023, pp. 132–134. (In Russ.)
26. Filippov N. V. Optimization of the educational process through the introduction of artificial intelligence. Problems of modern pedagogical education, 2025, no. 86–4, pp. 296–298. (In Russ.)
27. Ulanova A. E., Biryukov N. I. Artificial intelligence in the digital culture of highly rated universities. Knowledge. Understanding. Ability, 2025, no. 1, pp. 28–37. (In Russ.)
28. Izmailova M. A. Opportunities and threats of artificial intelligence in education. Psychology of learning, 2020, no. 3, pp. 84–94.
29. Xia Q., Weng X., Ouyang F. [et al.] A scoping review on how generative artificial intelligence transforms assessment in higher education. International Journal of Educational Technology in Higher Education, 2024, Vol. 21, no. 1. Article 40.
30. Bates C. Cobo, O. Marino [et al.] Can artificial intelligence transform higher education? International Journal of Educational Technology in Higher Education, 2020, vol. 17, no. 1, Article 42.
31. Chen L., Chen P., Lin Z. Artificial intelligence in education: A review. IEEE access, 2020, vol. 8, pp. 75 264–75 278.
32. Ouyang F., Jiao P. Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2021, vol. 2, Article 100 020. URL: https://www.sciencedirect.com/science/article/pii/S2666920X2100014X (accessed 10.25.2025).
33. Rahiman H. U., Kodikal R. Revolutionizing education: Artificial intelligence empowered learning in higher education. Cogent Education, 2024, vol. 11, no. 1, Article 2 293 431.
34. Ren X., Wu M. L. Examining teaching competencies and challenges while integrating artificial intelligence in higher education. TechTrends, 2025, vol. 69, pp. 519–538.
35. Chen X., Zou D., Xie H. [et al.]. Two decades of artificial intelligence in education. Educational Technology & Society, 2022, vol. 25, no. 1, pp. 28–47.
36. Mah D. K., Grob N. Artificial intelligence in higher education: exploring faculty use, self-efficacy, distinct profiles, and professional development needs. International Journal of Educational Technology in Higher Education, 2024, vol. 21, no. 1, Article 58.
37. Ivanov O. B., Ivanova S. V. The moral and humanistic crisis in the information age. Values and meanings, 2020, no. 3 (67), pp. 6–22. (In Russ.)
38. Ivanova S. V., Ivanov O. B. The main trends in the development of education in the context of modern challenges. STAGE: Economic Theory, Analysis, Practice, 2021, no. 5, pp. 38–51. (In Russ.)
39. Borovskaya M. A. Formation of professional competencies for sustainable development: new technologies and educational innovations. Values and meanings, 2023, no. 5 (87), pp. 56–70. (In Russ.)
40. Pelevin S. I. Value orientations of technological and technical development of society. Values and meanings, 2021, no. 1 (71), pp. 92–102. (In Russ.)
41. Ivanova S. V. How does the Fourth Industrial Revolution affect education? (Response to Klaus Schwab’s book «The Fourth Industrial Revolution» (Moscow: EKSMO, 2019). Values and meanings, 2020, no. 4 (68), pp. 146–151. (In Russ.)
42. Bekirova E. S. Artificial intelligence technologies as a factor in improving the quality of higher education. Problems of modern teacher education, 2022, vol. 77 (1), pp. 61–65. (In Russ.)
43. Rakitov A. I. Higher education and artificial intelligence: euphoria and alarmism. Higher education in Russia, 2018, vol. 27, no. 6, pp. 41–49. (In Russ.)
44. Sokolov N. V. Problems and risks of using modern artificial intelligence technologies in education in the Russian Federation. Actual problems of pedagogy and psychology, 2022, no. 3 (5), pp. 10–14. (In Russ.)
45. International Society for Technology in Education – 2019. Annual Conference. URL:https://www.in-formalscience.org/community/calendar/international-society-technology-education-iste-2019-annual-conference (accessed 04.17.2020).
46. Xia Q., Weng X., Ouyang F. [et al.]. Virtual corner. How artificial intelligence will educate our children [A scoping review on how generative artificial intelligence transforms assessment in higher education. International Journal of Educational Technology in Higher Education, 2024, vol. 21, no. 1, Article 40. URL: https://link.springer.com/article/10.1186/s41239-024-00468-z (accessed 10.21.2025).
47. Who is a Denisovan? Interview of Academician of the Russian Academy of Sciences, A. P. Derevyanko to the newspaper «Vedomosti of the Legislative Assembly of the Novosibirsk region». Professional education in the modern world, 2024, vol. 14, no. 4, pp. 709–710. (In Russ.)
48. Gamification – degradation? Game technologies in teaching with an inept approach can only do harm. URL: https://news.rambler.ru/other/43922897/?utm_content=news_media&utm_medium=read_more&utm_source=-copylink (accessed 04.18.2020).
49. Firsov M. V., Filatova O. N., Gushchin A. V. Advanced Future Skills training through the development of computer simulators and digital assistants with artificial intelligence. Proceedings of the Baltic State Academy of the Fishing Fleet, 2020, no. 3 (53). (In Russ.)
50. Filatova O. N., Feofanova T. D., Markova A. D. Pedagogical Quantorium as a means of increasing digital competencies. Proceedings of the Baltic State Academy of the Fishing Fleet: psychological and pedagogical sciences, 2022, no. 1 (59), pp. 61–64. DOI 10.46845/2071-5331-2022-1-59-61-64. EDN ZAYBQR (In Russ.)
51. Weindorf-Sysoeva M. E., Tikhonovetskaya I. P., Vyun N. D. «Digital foresight» – educational practice with a collective work constructor in hybrid learning. Bulletin of Mininsky University, 2022, vol. 10, no. 2. (In Russ.)
52. Petrov Yu. N., Firsov M. V., Filatova O. N. Cognitive direction of development of digitalization of professional education. Proceedings of the Baltic State Academy of the Fishing Fleet, 2020, no. 2 (52), pp. 7–11. (In Russ.)
53. Shobonov N. A., Bulaeva M. N., Zinovieva S. A. Artificial intelligence in education. Problems of modern pedagogical education, 2023, no. 79, pp. 288–290. (In Russ.)
54. Sokolov N. V. Problems and risks of using modern artificial intelligence technologies in education in the Russian Federation. Actual problems of pedagogy and psychology, 2022, no. 3 (5), pp. 10–14. (In Russ.)
55. Vereshchagina M. V., Techieva V. Z. On the problem of impersonal communication in the format of distance learning for higher school students. Society: sociology, psychology, pedagogy, 2020, no. 12, pp. 210–214. (In Russ.)
56. Vodyakha Yu. E., Krylova S. G. Accessibility of Internet resources as a determinant of changes in the functioning of memory processes in students. Trends in the development of science and education, 2019, no. 51 (2), pp. 23–28. (In Russ.)
57. Petrova E. V. Sketches for a cognitive portrait of a person of the digital age. Humanitarian studies in Eastern Siberia and the Far East, 2019, no. 3 (49), pp. 105–111. (In Russ.)
58. Oscheko A. V. Artificial intelligence in education. The use of artificial intelligence to ensure adaptability of education. Bulletin of Science, 2023, no. 6 (63), pp. 859–866. (In Russ.)
59. Ivanchenko I. S. Assessment of the prospects of using artificial intelligence in the higher education system. Science education for today, 2023, vol. 13, no. 4, pp. 170–194. DOI: http://dx.doi.org/10.15293/2658–6762.2304.08 (In Russ.)
60. Anshina M. The epidemic of digital autism is scarier than the coronavirus. BIT. Business & Information Technology, 2020, no. 2 (95), pp. 46–58. (In Russ.)
Review
For citations:
Kornienko N.A. The meanings and value based risks of applying artificial intelligence in the educational sphere. Professional education in the modern world. 2025;15(4):724-745. (In Russ.) https://doi.org/10.20913/2224-1841-2025-4-14
JATS XML















