Formation of Learners' Worldviews in the Context of Integrating Artificial Intelligence into Education
https://doi.org/10.17803/2542-2472.2026.37.1.079-089
Abstract
The paper analyzes state law risks associated with the use of generative language models (AI) in the education system. Its main focus is on the threat of distortion of the mechanisms through which students’ worldview is formed, thereby transforming a traditionally pedagogical task into an issue of national security. The authors argue that, despite its outward dialogic nature, AI lacks the capacity for reciprocal reflection and value-based transformation, which leads to the substitution of independent thinking with ready-made intellectual templates, the weakening of critical thinking, and a decline in motivation for the independent pursuit of knowledge. A particular legal problem is the cultural and value imbalance arising from the predominance of alien cultural codes in global models, which runs counter to the objectives of preserving national identity and may be regarded as an instrument of unlawful informational influence. At the same time, the authors acknowledge the constructive potential of these technologies for the humanization and personalization of education. As a legal conclusion, the article substantiates the need to move from the use of commercial models toward the creation of sovereign educational AI platforms operating within a special legal regime. The key tasks of the state are identified as the development of regulatory requirements for the algorithmic transparency, cultural adequacy, and pedagogical orientation of AI as a tool, as well as the legal regulation of its use for the protection of informational sovereignty and the constitutional rights of citizens in the educational sphere.
About the Authors
E. V. ChekmarevRussian Federation
Eduard V. Chekmarev, Dr. Sci. (Law), Full Professor, Department of State and Municipal Administration
Moscow
K. V. Pereverzev
Russian Federation
Kirill V. Pereverzev, Undergraduate Student
Moscow
References
1. Gaydukova IE. Joint activities as a pedagogical category. World of Science, Culture, Education: International Scientific Journal. 2013;3(40):12-13. (In Russ.).
2. Emelianenko VD. The influence of artificial intelligence on the cognitive sphere of a person in the context of value-worldview analysis. Manuscript: Scientific Journal. 2025;18(2):519-527. (In Russ.).
3. Ivanov OB. «Soft power» as a catalyst for socio-political conflicts. RUDN Journal of Law. Series: State and Municipal Administration. 2019;6(3):167-176. (In Russ.).
4. Kryukova IV, Lagun AA. Intensification of innovation activities in the Vologda Oblast through the organization of joint project activities in higher educational institutions of the region. Bulletin of the State University of Management. 2022;11:65-70. (In Russ.).
5. Masterova AA, Timofeev AV. Risks of the influence of artificial intelligence on the cognitive abilities of people. Science of the 21st century: Current directions of development. Proceedings of Samara State University of Economics. 2024;2-2:230-234. (In Russ.).
6. Pronenko EA, Belikova ME, Skripkina TP. Alienation of students from learning: can it help to overcome metacognitive regulation and awareness of the meaning of learning? Russian Psychological Journal. 2023;20(2):240-258. (In Russ.).
7. Sulimov VA. Formation of worldview: from awareness to logos. The Man. Culture. Education. 2014;2(12):91-105. (In Russ.).
8. Tereshchenko VV. Genesis and the current state of the content of joint activities in education. Cultural and Historical Psychology. 2024;20(3):87-98. (In Russ.).
9. Yusupova LG. Cognitive linguoanthropology in the context of the language picture of the world. Russian Humanitarian Journal. 2023;12(2):104-110. (In Russ.).
10. Bender EM, Gebru T, McMillan-Major A, Shmitchell S. On the dangers of stochastic parrots: Can language models be too big? Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. 2021;610-623. DOI: 10.1145/3442188.3445922.
11. Bommasani R, Hudson DA, Adeli E, et al. On the opportunities and risks of foundation models. arXiv preprint. 2021. arXiv:2108.07258 (cs.LG). DOI: 10.48550/arXiv.2108.07258.
12. Woźniak S, Koptyra B, Janz A, Kazienko P, Kocoń J. Personalized Large Language Models. arXiv. 2024;arXiv:2402.09269 (cs.CL).
13. Zhang Z, Rossi RA, Kveton B, Shao Y, Yang D, Zamani H, Dernoncourt F, Barrow J, Yu T, Kim S, Zhang R, Gu J, Derr T, Chen H, Wu J, Chen X, Wang Z, Mitra S, Lipka N, Ahmed N, Wang Y. Per-sonalization of Large Language Models: A Survey. arXiv. 2025;arXiv:2411.00027 (cs.CL).
Review
For citations:
Chekmarev E.V., Pereverzev K.V. Formation of Learners' Worldviews in the Context of Integrating Artificial Intelligence into Education. Russian Law Online. 2026;(1):79-89. (In Russ.) https://doi.org/10.17803/2542-2472.2026.37.1.079-089
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