employee from 01.01.1922 to 01.01.1925
This paper examines the impact of artificial intelligence (AI) on education, highlighting both its potential benefits and risks. AI can significantly improve learning by automating assignment grading, generating educational materials, and providing learning analytics. However, its implementation also poses challenges, such as the spread of misinformation, reduced student autonomy, and copyright issues. A particular focus is placed on the system-activity approach: AI can serve as a tool for organizing active cognitive activity, but it requires built-in mechanisms for developing critical thinking. Recommendations are given on defining the purposes of AI use, establishing interaction rules, ensuring data protection, and transforming the teacher's role toward mentoring. The paper concludes that a balanced approach is needed to maximize AI's potential and minimize its risks.
artificial intelligence, system-activity approach, tutors, chat assistants, personalization of learning, digital didactics, educational analytics, transformation of the teacher's role
1. Heffernan N.T., & Heffernan, C.L. (2014). Assessing the Impact of Intelligent Tutoring Systems on Student Learning. Journal of Educational Psychology, 106(4), 1380-1398.
2. Koller, D., & Ng, A. (2016). The Future of Education: Artificial Intelligence. Stanford Online.
3. Voronina D.K. (2024). Neyronnye seti v obrazovanii: ugrozy, vyzovy i perspektivy. Izvestiya Rossiyskogo gosudarstvennogo pedagogicheskogo universiteta im. A.I. Gercena, № 212, S. 126-136.
4. Gasanova R.R., & Romanova, E.A. (2024). Iskusstvennyy intellekt v vysshey shkole: problemy, vozmozhnosti, riski. Vestnik Rossiyskogo universiteta druzhby narodov. Seriya: Informatizaciya obrazovaniya, 21(4), 501-515. DOI:https://doi.org/10.22363/2312-8631-2024-21-4-501-515.
5. Bermus A.G., & Sizova, E.V. (2024). Pedagogicheskie, lingvodidakticheskie i psihologicheskie usloviya ispol'zovaniya ChatGPT v sisteme vysshego obrazovaniya: sistematicheskiy obzor. Nauchno-metodicheskiy elektronnyy zhurnal «Koncept», № 11, S. 150-166. DOI:https://doi.org/10.24412/2304-120X-2024-11183.
6. Bettayeb A.M., Abu Talib, M., Sobhe Altayasinah, A.Z., & Dakalbab, F. (2024). Exploring the impact of ChatGPT: conversational AI in education. Frontiers in Education, 9, 1379796.
7. Wang T. (2023). Navigating Generative AI (ChatGPT) in Higher Education: Opportunities and Challenges. In C. Anutariya et al. (Eds.), Smart Learning for A Sustainable Society (pp. 215-225). Springer. DOI:https://doi.org/10.1007/978-981-99-5961-7_28.
8. Uden L., & Ching, G.S. (2024). Activity Theory-based Ecosystem for Artificial Intelligence in Education (AIED). International Journal of Research Studies in Education, 13(5).
9. Gricay L.A. (2025). Krizis pis'mennyh zadaniy: neobhodimost' izmeneniya formata obucheniya studentov v epohu iskusstvennogo intellekta. V sb.: Cifrovaya gumanitaristika i tehnologii v obrazovanii (DHTE 2025) (S. 155-169). M.: FGBOU VO MGPPU.
