SUNʼIY INTELLEKT ASOSIDAGI BILIMLARNI BAHOLASH TIZIMLARI VA ULARNING RAQAMLI IQTISODIYOTGA MOSLASHGAN ILGʻOR YONDASHUVLARI
DOI:
https://doi.org/10.5281/zenodo.18479210Keywords:
sunʼiy intellekt, baholash tizimi, raqamli iqtisodiyot, taʼlim texnologiyalari, shaxsiylashtirish, etik masalalar, kompetensiya baholashAbstract
Mazkur tezisda sunʼiy intellekt asosida ishlovchi baholash tizimlarining zamonaviy oliy taʼlimdagi o‘rni tahlil
qilingan. AI vositalari yordamida baholashning individual yondashuv, aniqlik, tezlik va obyektivlik kabi jihatlari aniqlab
berilgan. Raqamli iqtisodiyot sharoitida amaliy ko‘nikmalarni aniqlash, shaxsiylashtirilgan o‘qitish va raqamli tengsizlikni
kamaytirish imkoniyatlari yoritilgan. Shuningdek, etik va maxfiylik muammolari ham ko‘rib chiqilgan. Tadqiqotda ilgari
chop etilgan ishonchli manbalar asosida nazariy tahlil amalga oshirilgan va takomillashuv uchun zarur bo‘lgan yo‘nalishlar
taklif qilingan.
References
1. Gogh, E., & Kovari, A. (2025). Homework in the AI era: Cheating, challenge, or change? Frontiers in Education. https://
www.frontiersin.org/journals/education/articles/10.3389/feduc.2025.1609518/pdf
2. Karami, M., & Madlool, H. (2025). Artificial Intelligence and Digital Health in the Health Systems of Developing
Countries: The Challenges and Vision of Integration. Frontiers in Digital Health. https://www.frontiersin.org/journals/
digital-health/articles/10.3389/fdgth.2025.1532361/pdf
3. Adelakun, N. O., & Mande, S. (2024). Transforming Entrepreneurial Education through Artificial Intelligence in Nigerian
Tertiary Institutions. ResearchGate. https://www.researchgate.net/publication/397141735
4. Hu, Z., & Ye, X. (2026). Optimizing the Curriculum and Innovating Teaching Models for the Digital Economy Major
through Artificial Intelligence. International Journal of Education and Humanities. https://i-jeh.com/index.php/ijeh/
article/download/392/259
5. Kiarie, N. (2025). Integrating AI-Based Image Analysis for Objective Assessment in CBET Practical Examinations.
Journal of the Kenya National Commission for UNESCO. https://journals.unesco.go.ke/index.php/jknatcom/article/
download/333/212
6. Caprioli, L., Romagnoli, C., Bonaiuto, V., & Padua, E. (2025). Commercial vision sensors and AI-based pose estimation
frameworks for markerless motion analysis in sports and exercises: A mini review. Frontiers in Physiology. https://www.
frontiersin.org/journals/physiology/articles/10.3389/fphys.2025.1649330/pdf
7. De Coninck, S., Gamba, E., & Van Doninck, B. (2025). Enabling Privacy-Aware AI-Based Ergonomic Analysis. arXiv.
https://arxiv.org/pdf/2505.07306
8. Islam, M. R., & Guyo, I. S. (2025). From Exclusion to Inclusion: AI-Based Learning as a Solution to Digital Disparities.
AMCIS 2025. https://aisel.aisnet.org/treos_amcis2025/68/
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