Abstract: The article discusses the theoretical, methodological, and technological aspects of integrating artificial intelligence into the structure of modern digital teaching materials in the context of the digitalization of higher education in 2025–2026.
It is argued that digital teaching materials are transforming from static electronic resources into multi-component intelligent educational...
Key Word: artificial intelligence, digital instructional materials, digitalization of education, adaptive learning, personalized learning path, intelligent tutoring systems, machine learning, learning analytics, automated assessment, digital learning environment, higher education, pedagogical technology, teacher digital competence, ethics of artificial intelligence.
[1].
Russell, Stuart J.; Norvig, Peter (2021). Artificial Intelligence: A Modern Approach (4th Ed.). Hoboken: Pearson. ISBN 978-0-1346-1099-3. LCCN 20190474
[2].
Vyugin, V. V. Mathematical Foundations Of Machine Learning And Forecasting [Text] / V. V. Vyugin. - Moscow: Moscow Center For Continuous Mathematical Education (MCCME) Publishing House, 2013. - 305 P.
[3].
Radkevich A. S., Radkevich K. A., Ryabinin N. S. Artificial Intelligence In Modern Education /
Https://Libeldoc.Bsuir.By/Bitstream/123456789/58509/1/Radkevich_Iskusstvennyj.Pdf
[4].
Khabarova N.D. Integration Of Artificial Intelligence And Neuroimaging Technologies For Personalization Of Learning / Information And Communication Technologies In Teacher Education, 2025. No. 4 (97)
[5].
Shestakova N. N., Dzhanelidze M. G. Artificial Intelligence: Impact On The Education-Labor Market System / MANAGEMENT CONSULTING. No. 5. 2025, Pp. 91-105 / Https://Www.Acjournal.Ru/Jour/Article/Viewfile/2829/2068