New Possibilities of Artificial Intelligence in Solving Modern Educational Problems Under the Conditions of Digital Transformation
Keywords:
Artificial intelligence, digital transformation, educational problems, personalized learning, innovative pedagogyAbstract
In the context of digital transformation, the modern education system is facing specific challenges. This article analyzes obstacles such as insufficient digital infrastructure, teacher preparedness, and regional inequality in the quality of education, and scientifically examines the practical possibilities of artificial intelligence in overcoming these very problems. It has been demonstrated that personalizing the learning process, assessing knowledge in real time, and reducing teachers’ workload can all be implemented through artificial intelligence tools. In conclusion, it is emphasized that the harmony of technology and pedagogy is the main condition for solving these problems.
References
[1] Decree of the President of the Republic of Uzbekistan, “On Approval of the Digital Uzbekistan — 2030 Strategy,” No. PF-6079, Tashkent, Uzbekistan, Oct. 5, 2020.
[2] Resolution of the President of the Republic of Uzbekistan, “On Approval of the Strategy for the Development of Artificial Intelligence Technologies until 2030,” No. PQ-358, Tashkent, Uzbekistan, Oct. 14, 2024.
[3] J. G. Yo‘ldoshev and S. A. Usmonov, Fundamentals of Scientific Research: Study Guide. Tashkent, Uzbekistan: Fan va Texnologiya Publishing House, 2022.
[4] B. Raximov, “Digital Education in Uzbekistan: Opportunities and Limitations,” Journal of Informatics and Information Technologies, no. 4(3), pp. 112–126, 2023.
[5] I. Tojiboyev and N. Karimova, “Methodological Foundations for Preparing Future Teachers in a Digital Educational Environment,” Journal of Education and Innovative Research, no. 4(3), pp. 87–95, 2022.
[6] D. M. Zaynobuddinova and M. O. Xomidova, “Artificial Intelligence and Its Impact on the Future Education System,” Education, Science and Innovative Ideas in the World, no. 58(1), pp. 193–202, 2024.
[7] UNESCO, Global Education Monitoring Report 2023: Technology in Education — A Tool on Whose Terms? Paris, France: UNESCO Publishing, 2023.
[8] McKinsey Global Institute, The Future of Learning: AI and Personalized Education. New York, NY, USA: McKinsey & Company, 2024. [Online]. Available: McKinsey Official Website
[9] Harvard University, AI Tutoring vs. Active Learning: A Randomized Controlled Trial in Physics Education. Cambridge, MA, USA: Harvard University Press, 2025. [Online]. Available: Harvard University
[10] EdWeek Research Center, Teachers and AI: 2025 Survey on Classroom Use and Preparedness. Washington, DC, USA: Editorial Projects in Education, 2025. [Online]. Available: EdWeek Official Website
[11] OECD, AI in Education: Challenges and Opportunities. Paris, France: OECD Publishing, 2024. [Online]. Available: OECD Official Website
[12] World Bank, Digital Development Overview 2024. Washington, DC, USA: World Bank Publications, 2024. [Online]. Available: World Bank Official Website
[13] A. Holmes, “Artificial Intelligence in Education and Schools,” Educational Technology Review, vol. 15, no. 2, pp. 55–69, 2023.
[14] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 4th ed. Hoboken, NJ, USA: Pearson, 2021.
[15] UNICEF, Reimagining Digital Learning for Every Child. New York, NY, USA: UNICEF Publications, 2023. [Online]. Available: UNICEF Official Websi
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