Russian Federation
The article examines the key areas of applying neural network technologies in education: personalized learning, dialogue based AI assistants, analytical monitoring systems, and digital tools that support teachers, language learning, and inclusive education. It briefly analyzes the main risks associated with replacing independent learning activities by generative models, deepening educational inequality, and threats to data privacy, and outlines the conditions for the responsible integration of AI into the educational environment.
artificial intelligence, neural networks, education, personalized learning, educational analytics, academic integrity, inclusive education
1. Baker R. S., Inventado P. S. Intellektual'nyy analiz obrazovatel'nyh dannyh i obrazovatel'naya analitika // Learning Analytics. – Springer, 2014. – S. 61–75. DOI: https://doi.org/10.1007/978-1-4614-3305-7_4
2. Chen L., Chen P., Lin Z. Iskusstvennyy intellekt v obrazovanii: obzor // IEEE Access. – 2020. – T. 8. – S. 75264–75278. DOI: https://doi.org/10.1109/ACCESS.2020.2988510
3. Holmes W., Bialik M., Fadel C. Iskusstvennyy intellekt v obrazovanii: obeschaniya i posledstviya dlya prepodavaniya i obucheniya. – Center for Curriculum Redesign, 2019.
4. Luckin R. i dr. Osvobozhdennyy intellekt: argumenty v pol'zu ispol'zovaniya II v obrazovanii. – Pearson, 2016.
5. OECD. Cifrovoe obrazovanie: prognoz 2023. Rasshirenie granic s pomosch'yu II, blokcheyna i robotov. – Parizh: OECD Publishing, 2023.
6. Russell S., Norvig P. Iskusstvennyy intellekt: sovremennyy podhod. 4-e izd. – Pearson, 2020.
7. UNESCO. Iskusstvennyy intellekt v obrazovanii: vyzovy i vozmozhnosti dlya ustoychivogo razvitiya. – Parizh: UNESCO, 2019.
8. Woolf B. P. Postroenie intellektual'nyh interaktivnyh repetitorov: studentocentrirovannye strategii revolyucii v e-learning. – Morgan Kaufmann, 2009.
9. Zawacki-Richter O. i dr. Sistematicheskiy obzor issledovaniy po primeneniyu iskusstvennogo intellekta v vysshem obrazovanii: gde zhe prepodavateli? // International Journal of Educational Technology in Higher Education. – 2019. – T. 16. – St. 39.
10. Mal'cev, V. V. Primenenie algoritmov iskusstvennogo intellekta dlya monitoringa zagryazneniya vozduha gorodskim avtotransportom / V. V. Mal'cev // Modelirovanie sistem i processov. – 2025. – T. 18, № 2. – S. 86-96. – DOIhttps://doi.org/10.12737/2219-0767-2025-18-2-86-96. – EDN EEZDKJ.
11. Peskova N. S., Shagiev R. M. Iskusstvennyy intellekt v obrazovanii: modeli i praktiki primeneniya // Voprosy obrazovaniya. – 2021. – № 2. – S. 95–118.
