FIZIKA DARSLARIDA SUNʼIY INTELLEKT VA NEYROTARMOQLARDANFOYDALANISH: VIRTUAL LABORATORIYA TAJRIBALARINI TAHLILQILISH

Authors

  • NOMOZOV JO‘RABEK IBODULLO O‘G‘LI, XOLIYOROVA ZUMRAD SAFAR QIZI Author

Keywords:

artificial intelligence, neural networks, physics education, virtual laboratory, analysis of experiments, digital technologies, modeling, interactive teaching, experimental physics, learning process.

Abstract

this article studies the possibilities of using artificial intelligence and
neural networks in physics lessons and their role in the analysis of virtual laboratory
experiments. The rapid development of digital technologies in modern educational
processes is shaping new approaches to teaching physics. In particular, systems based
on artificial intelligence allow modeling complex physical processes, safe and accurate
execution of experiments in a virtual environment, and automatic analysis of results. It
was found that experiments conducted in a virtual laboratory environment are
distinguished by time and resource savings compared to traditional laboratory work,
and the possibility of unlimited implementation of repeated experiments. It was also
noted that the development of independent thinking of students with the help of
artificial intelligence, the level of visual and interactive explanation of complex
physical laws significantly increased. The results show that AI and neural networks
serve as an important innovative tool in improving the quality of physics education. 

Downloads

Published

2026-05-24