TECHNOLOGIES FOR THE USE OF ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION INSTITUTIONS

Authors

  • Umarova Nigora Alisherovna Senior Lecturer, Department of Exact and Technical Sciences, Angren University,
  • Ibragimov Nukhriddin Madazimovich senior lecturer at the Department of Exact and Technical Sciences, Angren University,
  • Kholisov Alisher Farkhodovich teacher of the Department of Exact and Technical Sciences, Angren University

DOI:

https://doi.org/10.55640/

Keywords:

artificial intelligence, higher education, educational technologies, digital learning, adaptive learning, smart education.

Abstract

This article examines the role of artificial intelligence technologies in higher education institutions. The study analyzes the pedagogical and organizational potential of AI-based systems in improving learning quality, supporting personalized education, and optimizing academic management. The findings indicate that artificial intelligence contributes to the development of adaptive learning environments and enhances the effectiveness of teaching and learning processes. The research emphasizes the importance of methodological and ethical considerations for the sustainable integration of artificial intelligence in university education.

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References

1.Alekseev, A. N. (2019). Искусственный интеллект в системе высшего образования. Высшее образование в России, 28(6), 45–54.

2.Bogdanova, I. M., & Koroleva, E. V. (2020). Цифровая трансформация высшего образования: роль искусственного интеллекта. Педагогика, 84(9), 32–41.

3.Nazarbayev, Z. K., & Sadykova, A. K. (2021). Применение искусственного интеллекта в цифровом университете. Вестник КазНУ. Серия педагогических наук, 68(2), 25–34.

4.Petrov, V. V., & Morozova, T. A. (2019). Аналитика образовательных данных в университетской среде. Информационные технологии в образовании, 3, 57–65.

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Published

2026-01-28

How to Cite

TECHNOLOGIES FOR THE USE OF ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION INSTITUTIONS. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(01), 2319-2322. https://doi.org/10.55640/

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