Sun’iy Intellekt Yordamida Fizika Masalalarini Yechish: Chatgpt, Gemini Va Deepseek Modellarining Tahlili
Year: 2025
Type: article
Abstract: This article provides a comparative analysis of the effectiveness of the modern artificial intelligence models ChatGPT, Gemini and DeepSeek in solving problems in physics. In the study, 130 physics problems (100 in mechanics, 30 in molecular physics) corresponding to the higher education programmes of Uzbekistan were selected and given to each model to solve. The results showed that the success rate of the ChatGPT and DeepSeek models in the mechanics section amounted to 92%, whereas the result of the Gemini model was 85%. In the molecular physics section DeepSeek recorded a relatively higher indicator. The article analyses the errors made by the models and explains their causes. The results of the study identify the possibilities of using artificial intelligence in physics education and serve as an important basis for developing practical recommendations for teachers.
Institution: Ferghana State University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W7117396828