TA’LIM JARAYONIDA SUN’IY INTELLEKT ASOSIDAGI ADAPTIV BAHOLASH TIZIMINI ISHLAB CHIQISH VA UNING SAMARADORLIGINI BAHOLASH

TA’LIM JARAYONIDA SUN’IY INTELLEKT ASOSIDAGI ADAPTIV BAHOLASH TIZIMINI ISHLAB CHIQISH VA UNING SAMARADORLIGINI BAHOLASH

Authors

  • Shoxruxbek Madaminov

DOI:

https://doi.org/10.5281/zenodo.21638161

Keywords:

sun’iy intellekt, adaptiv baholash, mashinaviy o‘rganish, IRT modeli, individual trayektoriya, ta’lim tahlili, diagnostik fidbek, kognitiv yuklama.

Abstract

Ushbu ilmiy maqolada zamonaviy oliy ta’lim tizimida sun’iy intellekt (SI) texnologiyalariga asoslangan adaptiv
baholash tizimini loyihalash va uning pedagogik-psixologik samaradorligini baholash masalalari tizimli tadqiq etilgan.
An’anaviy summativ baholash modellarining texnik cheklovlari va kognitiv yuklamalari tahlil qilinib, talabalarning individual
bilim darajasiga real vaqt rejimida moslashuvchi intellektual algoritmik model taklif etilgan. Tadqiqot davomida mashinaviy
o‘rganish usullari va IRT (Item Response Theory) matematik modellari integratsiyasi ilmiy jihatdan asoslab berildi. Amaliy
eksperiment natijalari shuni ko‘rsatdiki, SI asosidagi adaptiv baholash tizimi talabalarning test topshirish vaqtini hamda
ortiqcha kognitiv zo‘riqishini sezilarli darajada qisqartiradi, bilim darajasini aniqlash aniqligini esa oshiradi.

Author Biography

Shoxruxbek Madaminov

Axborot texnologiyalari kafedrasi
Andijon davlat texnika instituti, Andijon, O‘zbekiston

References

Alimov, N. S. Sun’iy intellekt asosidagi baholash tizimlarining ta’lim samaradorligiga ta’siri // Science and Education.

– 2026. – Vol. 7, № 6. – B. 112–118.

Karimov, A. B. Raqamli didaktika va zamonaviy ta’lim texnologiyalari. – Toshkent: Fan va texnologiya nashriyoti,

– 180 b.

Yesilyurt, E. Assessment in Digital Education: From Traditional to Adaptive Models // Journal of Educational Technology

Systems. – 2023. – Vol. 51, № 2. – P. 25–34.

Tojiyev, M. R. Oliy ta’lim muassasalarida raqamli texnologiyalar yordamida ta’lim sifatini monitoring qilish //

O‘zbekiston ilmiy xabarnomasi. – 2025. – № 4. – B. 45–52.

Smith, J., Johnson, L. AI-Powered Adaptive Learning & Assessment Frameworks // International Journal of Artificial

Intelligence in Education. – 2024. – Vol. 34, № 2. – P. 201–215.

Abdullayev, S. S. Sun’iy intellektga asoslangan ta’lim platformalarida baholash va fidbek mexanizmlari // Lingvo-

Spektr jurnali. – 2025. – № 3. – B. 89–96.

Brown, M. Impact of Artificial Intelligence-Assisted Assessment on Cognitive Load and Student Anxiety // Education

Sciences. – 2026. – Vol. 16, № 4. – P. 501–512.

Sultanov, Q. A. Ta’lim tizimida sun’iy intellekt: moslashuvchan o‘quv platformalari tahlili // inLibrary axborotnomasi.

– 2025. – № 2. – B. 12–18.

Axmedov, J. N. Sun’iy intellekt texnologiyalari orqali baholash tizimini takomillashtirish // Universal Jurnal. – 2025. –

Vol. 3, № 5. – B. 202–210.

Msayer, A., Al-Rubaie, H. Artificial Intelligence in Computerized Adaptive Testing to Assess the Cognitive Performance

of Students: A Systematic Review // ResearchGate Journal of Pedagogical Innovations. – 2024. – Vol. 12, № 3. – P.

–158.

Downloads

Published

2026-07-01
Loading...