ARTIFICIAL INTELLIGENCE IN THE TRANSFORMATION OF THE HIGHER EDUCATION SYSTEM OF UZBEKISTAN: GLOBAL TRENDS AND PRACTICAL STRATEGIES
Keywords:
Artificial intelligence, higher education transformation, digital university, adaptive learning, academic analytics.Abstract
This study analyzes the theoretical and methodological foundations of implementing artificial intelligence (AI) technologies in the higher education system, as well as their practical effectiveness. The article examines in detail the experiences of technologically advanced countries such as the United States, China, and South Korea, and proposes a “Digital University” model adapted for higher education institutions (HEIs) of Uzbekistan. The study scientifically substantiates the role of AI in improving the quality of education, creating individualized learning trajectories, and optimizing teachers’ workload.
References
1. Law of the Republic of Uzbekistan "On Education". (New edition).
2. Mirziyoyev Sh.M. "New Development Strategy of Uzbekistan". - Tashkent, 2022.
3. Selwyn, N. "Should Robots Replace Teachers? AI and the Future of Education." – Polity Press, 2019.
4. Luckin, R. "Machine Learning and Human Intelligence: The Future of Education for the 21st Century." – UCL IOE Press, 2018.
5. UNESCO Report (2021). "AI and Education: Guidance for Policy-Makers".
6. McKinsey Global Institute. "The future of work in America: People and places, today and tomorrow".
7. World Economic Forum. "The Future of Jobs Report 2023".
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Ideal Journal of Multidisciplinary Research

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.






