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SUNʼIY INTELLEKT TEXNOLOGIYALARINING OLIY TAʼLIMDA BOSHQARUV JARAYONLARINI AVTOMATLASHTIRISHDAGI OʻRNI

DOI 10.67668/mj/2025issspecial/1523 Betlar 526-529

Nashr qilingan 2025-10-16

Mualliflar
Radjabov Bunyod Abduxalilovich
Affiliation
Toshkent Davlat Iqtisodiyot Universiteti image/svg+xml
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Annotatsiya

Ushbu tezisda sunʼiy intellekt texnologiyalarining oliy taʼlim muassasalarida boshqaruv jarayonlarini avtomatlashtirishdagi roli va samaradorligi tahlil qilinadi. Sposato1, Zawacki-Richter2 hamda Chen 3tadqiqotlariga asoslanib, SI texnologiyalarining taʼlim tizimida boshqaruv, rejalashtirish, tahlil, nazorat va resurslarni boshqarishdagi afzalliklari yoritilgan. Tadqiqotda AI texnologiyalarining maʼmuriy samaradorlik, qaror qabul qilishni optimallashtirish va strategik boshqaruvni takomillashtirishdagi oʻrni tizimli tarzda koʻrsatib beriladi. Shuningdek, Oʻzbekiston taʼlim tizimida ushbu tajribalarni joriy etish istiqbollari ham ilmiy tahlil qilinadi.

References

  1. Sposato, Martin. "Artificial intelligence in educational leadership: a comprehensive taxonomy and future directions." International Journal of Educational Technology in Higher Education 22.1 (2025): 20
  2. Zawacki-Richter, Olaf, et al. "New advances in artificial intelligence applications in higher education?." International Journal of Educational Technology in Higher Education 21.1 (2024): 32
  3. Chen, Lijia, Pingping Chen, and Zhijian Lin. "Artificial intelligence in education: A review." IEEE access 8 (2020): 75264-75278
  4. https://president.uz/
  5. Sposato, Martin. "Artificial intelligence in educational leadership: a comprehensive taxonomy and future directions." International Journal of Educational Technology in Higher Education 22.1 (2025): 20
  6. Kuleto, V., Ilic, M., Dumangiu, M., Rankovic, M., Martins, O. M., Paun, D., & Mihoreanu, L. (2021). Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions. Sustainability, 13(18), 10424
  7. Jiao, Pengcheng, et al. "Artificial intelligence-enabled prediction model of student academic performance in online engineering education." Artificial Intelligence Review 55.8 (2022): 6321-6344
  8. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1–27. https://doi.org/10.1186/s41239-019-0171-0
  9. Nguyen A. et al. Ethical principles for artificial intelligence in education //Education and information technologies. – 2023. – Т. 28. – №. 4. – С. 4221-4241
  10. Kaur, Davinder, et al. "Trustworthy artificial intelligence: a review." ACM computing surveys (CSUR) 55.2 (2022): 1-38

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