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Oʻzbekcha

INFORMATIKA TA’LIMIDA SHAXSGA YO‘NALTIRILGAN O‘QITISHNI TASHKIL ETISHDA SUN’IY INTELLEKT IMKONIYATLARI

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
11-15
DOI
10.5281/zenodo.19828050

Authors

Abstract

Mazkur maqolada informatika fanini o‘qitishda shaxsga yo‘naltirilgan o‘qitishni tashkil etishda sun’iy intellekt texnologiyalarining o‘rni tahlil qilinadi. Adaptiv o‘qitish, intellektual o‘qitish tizimlari, avtomatlashtirilgan tahlil va raqamli didaktika imkoniyatlari asosida o‘quv jarayonini individuallashtirish masalalari yoritiladi.

Keywords

adaptiv o‘qitish sun’iy intellekt informatika shaxsga yo‘naltirilgan o‘qitish intellektual tizimlar raqamli didaktika

Other language versions

Русский
В данных тезисах анализируется роль технологий искусственного интеллекта в организации личностно-ориентированного обучения в информатическом образовании. Освещаются вопросы индивидуализации учебного процесса на основе адаптивного обучения, интеллектуальных обучающих систем, автоматизированного анализа и возможностей цифровой дидактики.
искусственный интеллект информатика личностно-ориентированное обучение адаптивное обучение интеллектуальные системы цифровая дидактика
English
This thesis analyzes the role of artificial intelligence technologies in organizing learner-centered instruction in informatics education. It highlights the issues of individualizing the learning process based on adaptive learning, intelligent tutoring systems, automated analysis, and the possibilities of digital didactics.
adaptive learning artificial intelligence informatics learner-centered instruction intelligent systems digital didactics

References

1. Luckin R., Holmes W., Griffiths M., Forcier L. B. Intelligence Unleashed: An Argument for AI in Education. London: Pearson Education, 2016.
2. Wang S., Liu Y., Yu H., Chen X. Artificial intelligence in education: A systematic literature review // Expert Systems with Applications. 2024. Vol. 252. Article 124167.
3. Huang X., Liu Z., Li Y. Effects of Intelligent Tutoring Systems on Educational Outcomes: A Meta-Analysis // Journal of Educational Computing Research. 2025.
4. Fodouop Kouam A. W. The effectiveness of intelligent tutoring systems in supporting students with varying levels of programming experience // Discover Education. 2024. Vol. 3. Article 278.
5. U.S. Department of Education, Office of Educational Technology. Artificial Intelligence and the Future of Teaching and Learning. Washington, DC: U.S. Department of Education, 2023.
6. Garzón J., Acevedo J., Martínez A. Systematic Review of Artificial Intelligence in Education // AI. 2025. Vol. 9. No. 8. Article 84.
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