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SUN’IY INTELLEKT TEXNOLOGIYALARINING OLIY TA’LIM BAHOLASH TIZIMIGA INTEGRATSIYALASHUVI

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MAQOLA ANNOTATSIYASI

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Ushbu maqolada sun’iy intellekt texnologiyalarining oliy ta’limdagi baholash tizimlariga ilmiy asosda integratsiyalashuvi tahlil qilinadi. An’anaviy baholashdagi subyektivlik, statiklik va inson omiliga kuchli bog‘liqlik kabi cheklovlar ko‘rib chiqiladi. Sun’iy intellekt yordamida baholashni avtomatlashtirish, shaffoflikni ta’minlash, aniqlikni oshirish va talaba faoliyatini real vaqt rejimida tahlil qilish imkoniyatlari yoritiladi. Shuningdek, baholash tizimiga sun’iy intellekt vositalarini joriy etish zarurati, ilg‘or xorijiy tajribalar va algoritmlar asosida baholovchi modellar yaratish bo‘yicha tavsiyalar beriladi.

MUALLIFLAR

A.Aliqulov

Tashkent State University of Economics

Teglar

# высшее образование# avtomatlashtirish# автоматизация# higher education# automation# artificial intelligence# искусственный интеллект# Машинное обучение# Machine Learning# LMS# oliy ta’lim# успеваемость# assessment system# baholash tizimi# система оценки# shaxsiylashtirish# персонализация# personalization# o‘zlashtirish# sun’iy intellekt# HEMIS# Academic Performance# mashinali o‘rganish# sun’iy intellekt moduli.# система академического управлени# система управления обучением# модуль искусственного интеллект# academic management system# learning management system# artificial intelligence module.

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Maqola idintifikatorlari

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https://eroi.uz/11.0183/A0725-0062

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Foydalanilgan adabiyotlar

Aliqulov, A. B. (2024). Masofaviy taʼlim jarayonini samarali tashkil etishda sunʼiy intellekt texnologiyalarining oʻrni. European Journal of Life Safety and Stability, 35, 145–150. https://in academy.uz/index.php/EJLFAS/article/view/24966

Khlaif, Z. N., et al. (2025). Redesigning assessments for AI-enhanced learning: A framework for educators in the generative AI era. Education Sciences, 15(2), 174. https://doi.org/10.3390/educsci15020174

Ogunleye, B., et al. (2024). Higher education assessment practice in the era of generative AI tools. arXiv preprint arXiv:2404.01036. https://arxiv.org/abs/2404.01036

Perkins, M., et al. (2023). The AI Assessment Scale (AIAS): A framework for ethical integration of generative AI in educational assessment. arXiv preprint arXiv:2312.07086. https://arxiv.org/abs/2312.07086

Pulatova Z.A., Ikanova L. (2025). Assessment for learning with artificial intelligence. Journal of New Century Innovations, 73(2), 330–335.

Qi Xia, et al. (2024). A scoping review on how generative artificial intelligence transforms assessment in higher education. International Journal of Educational Technology in Higher Education, 21(40). https://educationaltechnologyjournal. springeropen.com/articles/10.1186 /s41239-024-00468-z

Robert, J., Pelletier, K., McCormack, M., Reeves, J., Wellington Baker, K., & Strain, M. (2025). Higher generative AI readiness assessment. EDUCAUSE. https://library.educause.edu/resources/2024/4/higher-education-generative-ai-readiness assessment

Song D., et al. (2024). The Rise of Artificial Intelligence in Educational Measurement: Opportunities Ethical Challenges. arXiv preprint arXiv:2406.18900. https://arxiv.org/abs/2406.18900

Tozhiboev I.T. (2024). The Role of Artificial Intelligence in Higher Education Management (Comparative Analysis). SSRN. https://ssrn.com/abstract=4973755