Republican Scientific and Practical Conference on “Innovative Educational Technologies in the Integration of Natural Sciences: Tradition and Modernity”

This conference was included in the plan of scientific and scientific-technical events to be held at the international and national levels in 2026, pursuant to Order No. 11 of the Ministry of Higher Education, Science and Innovation dated January 16, 2026. It was organized by the Department of Natural Sciences of Namangan State Pedagogical Institute on November 13–14, 2026.

1+ Issues
27+ Articles
42+ Participants
Oʻzbekcha

KIMYO FANINI O’QITISHDA SUN’IY INTELEKTDAN FOYDALANISH USTUVORLIGI

Published
14.11.2026
Journal
Republican Scientific and Practical Conference on “Innovative Educational Technologies in the Integration of Natural Sciences: Tradition and Modernity”
Issue
“Innovative Educational Technologies in the Integration of Natural Sciences: Tradition and Modernity” Republican Scientific and Practical Conference
Pages
126-129
DOI
10.5281/zenodo.24049711

Authors

Abstract

Mazkur ishda kimyo fanini o‘qitish jarayonida sun’iy intellect (SI) texnologiyalaridan foydalanishning metodologik va amaliy ustuvorliklari tadqiq etiladi. Shuningdek, SI vositalarining talabalar bilimini baholash va laboratoriya ishlarini virtuallashtirishdagi samaradorligi tahlil qilingan.

Keywords

sun’iy intellekt kimyo ta’limi virtual laboratoriya adaptiv ta’lim raqamli texnologiyalar neyrotarmoqlar.

Other language versions

Русский
В данной статье исследуются методологические и практические приоритеты использования технологий искусственного интеллекта в процессе преподавания химии. Также анализируется эффективность инструментов ИИ в оценке знаний студентов и виртуализации лабораторных работ.
искусственный интеллект химическое образование виртуальная лаборатория адаптивное обучение цифровые технологии нейронные сети.
English
This article explores the methodological and practical priorities of using artificial intelligence technologies in the process of teaching chemistry. The effectiveness of AI tools in assessing student knowledge and virtualizing laboratory work is also analyzed.
artificial intelligence chemistry education virtual laboratory adaptive learning digital technologies neural networks.

References

1. Azizov A.A. Kimyo o‘qitish metodikasi. Toshkent: O‘qituvchi, 2021, 215 b.
2. Smith J. Artificial Intelligence in Chemical Education . London: Academic Press, 2022, 112 p.
3. Raxmatov U.N. Ta’limda raqamli texnologiyalar. Samarqand: SamDU nashriyoti, 2023, 145 b.
4. Karimov M. Kimyoviy texnologiyalar va sun’iy intellect. Toshkent: Fan, 2022, 98 b.
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