This article provides a theoretical analysis of improving assessment systems in digital education environments based on Artificial Intelligence. The study examines the role of AI technologies in automated assessment, adaptive testing, learning analytics, and personalized evaluation. A comparative analysis between traditional and AI-based assessment systems is conducted to identify advantages and challenges. The findings indicate that AI-based assessment systems significantly enhance educational effectiveness, ensure objectivity, and support individualized learning development.
| Mualliflar | Sadikova, Sevinch, Rakhmatova, Nargiza, Садикова, Севинч, Рахматова, Наргиза, Sadikova, Sevinch, Raxmatova, Nargiza |
|---|---|
| Jurnal | Жамият ва инновациялар / Общество и инновации / Society and innovations |
| Nashr sanasi | 2026-04-05 |
| Jild | 7 |
| Son | 2 |
| Betlar | 317-321 |
| Til | O‘zbek |
| DOI | 10.47689/2181-1415-vol7-iss2-pp317-321 |
DOI: 10.47689/2181-1415-vol7-iss2-pp317-321 · Maqolaning asl sahifasi
искусственный интеллект, цифровое образование, система оценивания, адаптивное тестирование, аналитика обучения, Artificial Intelligence, digital education, assessment systems, adaptive testing, learning analytics, automated assessment, Sun’iy intellekt, raqamli ta’lim, baholash tizimi, adaptiv testlash, o‘quv analitikasi, avtomatlashtirilgan baholash
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