ADAPTIV O‘QITISH TIZIMLARINING EVOLYUTSIYASI VA ULARNI SUN’IY INTELLEKT ASOSIDA TAKOMILLASHTIRISH ISTIQBOLLARI
Kalit so‘zlar:
adaptiv o‘qitish, personalizatsiyalashgan ta’lim, dasturlashtirilgan o‘qitish, ta’lim texnologiyalari, sun’iy intellekt, mashinaviy o‘rganish.Abstrak
Mazkur maqolada adaptiv o‘qitishning tarixiy evolyutsiyasi hamda uning
zamonaviy ta’lim tizimidagi ahamiyati ilmiy-nazariy jihatdan tahlil etiladi. XX asr oxirida
kompyuter texnologiyalarining jadal rivojlanishi adaptiv o‘qitish tizimlarining yangi
bosqichga ko‘tarilishiga zamin yaratdi. Hozirgi davrda esa sun’iy intellekt va mashinaviy
o‘rganish texnologiyalarining integratsiyasi ta’lim jarayonini individuallashtirish va
dinamik ravishda moslashtirish imkonini bermoqda. Shuningdek, tizimning
murakkabligi, ma’lumotlarni qayta ishlash hamda moliyaviy xarajatlar bilan bog‘liq
muammolar mavjud bo‘lishiga qaramay, adaptiv o‘qitish ta’lim samaradorligini
oshirishning muhim va istiqbolli yo‘nalishi sifatida namoyon bo‘lmoqda.
Библиографические ссылки
1. Sultanov R. R., Babakhodjaeva V. A. Introduction of Artificial Intelligence Algorithms into the Educational
Process: Current State and Development Trends // Acta Education. – 2023. – Vol. 1, No. 1. – P. 72–78. – DOI:
10.61587/mmit.uz.vi.52.
2. Allamova Sh. Sh. Development and Implementation of an Adaptive Learning Platform Based on Artificial
Intelligence Technology // European International Journal of Pedagogics. – 2026. – Vol. 6, No. 2. – P. 96–102. – DOI:
10.55640/eijp-06-02-23.
3. Murodova R. Sun’iy intellekt yordamida adaptiv o‘qitish trayektoriyalarini loyihalash metodikasi // Ijtimoiy-
gumanitar sohada ilmiy-innovatsion tadqiqotlar. – 2026.
4. Abdullayev A. Q., Toxirova M. I. Sun’iy intellekt asosida ta’limni individuallashtirishning pedagogik asoslari //
Maktabgacha va maktab ta’limi. – 2025. – № 12.
5. Murodova R. B. Ta’lim jarayonida sun’iy intellekt vositalaridan foydalanishning psixologik-pedagogik asoslari
// Psixologiya. – 2026. – № 1.
6. Lowendahl J. M. et al. Top 10 Strategic Technologies Impacting Higher Education in 2016 // Research Note G.
– 2016. – Vol. 294732. – P. 15.
7. Marković S. Modeling of Adaptive System for Distance Learning with an Emphasis on Student Profile //
Journal of Education Research. – 2015. – Vol. 9, No. 3.
8. Pask G. Electronic Keyboard Teaching Machines // Education and Commerce. – 1958. – Vol. 24. – P. 16–26.
9. Perrotta C., Williamson B. The Social Life of Learning Analytics: Cluster Analysis and the “Performance” of
Algorithmic Education // Learning, Media and Technology. – 2018. – Vol. 43, No. 1. – P. 3–16.
10. Skinner B. F. Teaching Machines: From the Experimental Study of Learning Come Devices Which Arrange
Optimal Conditions for Self-Instruction // Science. – 1958. – Vol. 128, No. 3330. – P. 969–977.
11. Wenger E. Artificial Intelligence and Education. – 1987.
12. Xu D., Wang H., Su K. Intelligent Student Profiling with Fuzzy Models // Proceedings of the 35th Annual Hawaii
International Conference on System Sciences. – IEEE, 2002. – P. 8.