RAQAMLI TA’LIM MUHITIDA SUN’IY INTELLEKT ASOSIDA TALABALAR BILIMINI BAHOLASH METODIKASINI TAKOMILLASHTIRISH

Usmanjanova Nigora Shuxratali qizi

doi:10.5281/zenodo.23181131

25.04.2026

119

Oʻzbekcha

RAQAMLI TA’LIM MUHITIDA SUN’IY INTELLEKT ASOSIDA TALABALAR BILIMINI BAHOLASH METODIKASINI TAKOMILLASHTIRISH

Published

25.04.2026

Journal

Priority areas for applying artificial intelligence to pedagogical education

Issue

Priority areas for applying artificial intelligence to pedagogical education

Pages

1066-1072

DOI

10.5281/zenodo.23181131

Authors

Usmanjanova Nigora Shuxratali qizi

Abstract

Mazkur maqolada raqamli ta’lim muhitida talabalarning bilim va ko‘nikmalarini baholash jarayonini takomillashtirishda sun’iy intellekt texnologiyalaridan foydalanishning pedagogik va metodik jihatlari tadqiq etilgan. An’anaviy baholash jarayonlarida uchraydigan subyektivlik, vaqt sarfi va talabalarning individual ta’lim ehtiyojlarini yetarli darajada hisobga olmaslik kabi muammolar tahlil qilingan. Talabalar bilimini avtomatlashtirilgan diagnostika qilish, test topshiriqlarini baholash, dasturlash topshiriqlarini tahlil qilish hamda ta’lim jarayonini individuallashtirishga xizmat qiluvchi intellektual yondashuv taklif etilgan. Tadqiqotda sun’iy intellekt elementlari asosida tashkil etilgan raqamli baholash tizimidan foydalanish metodikasi ishlab chiqilib, uning samaradorligi tajriba-sinov ishlari asosida o‘rganilgan. Tajriba-sinov natijalari raqamli va intellektual baholash vositalaridan foydalanish talabalarning bilim va ko‘nikmalarini rivojlantirish hamda ta’lim jarayonining samaradorligini oshirish imkonini berishini ko‘rsatgan.

Keywords

bilim va ko‘nikma dasturlash individuallashtirilgan ta’lim intellektual ta’lim tizimi pedagogik diagnostika raqamli baholash raqamli ta’lim sun’iy intellekt talaba ta’lim samaradorligi.

Other language versions

English

This article examines the pedagogical and methodological aspects of using artificial intelligence technologies to improve the assessment of students’ knowledge and skills in a digital learning environment. The study analyzes such limitations of traditional assessment as subjectivity, time consumption, and insufficient consideration of students’ individual educational needs. An intelligent approach is proposed for automated assessment of students’ knowledge, analysis of programming tasks, and individualization of the learning process. A methodology for applying an AI-based digital assessment system was developed and its effectiveness was examined through experimental work. The results demonstrate that the use of intelligent digital assessment tools can contribute to the development of students’ knowledge and skills and improve the effectiveness of the educational process.

artificial intelligence digital assessment digital education educational effectiveness intelligent educational system knowledge and skills pedagogical diagnostics personalized learning programming student

References

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