AI-ENHANCED PHYSICS INSTRUCTION IN UZBEK: EVALUATING COMPREHENSION OF SCIENTIFIC TERMINOLOGY USING LANGUAGE MODELS

##article.authors##

  • Navbahor Qurbanbayeva Shermat qizi ##default.groups.name.author##

##semicolon##

Uzbek language, physics education, scientific terminology, artificial intelligence, large language models, AI in education, native-language instruction, comprehension assessment, interactive learning, AI-assisted teaching

##article.abstract##

This study explores the use of artificial intelligence-based tools, particularly large language models (LLMs), in teaching physics terminology in the Uzbek language. The research focuses on the effectiveness of AI-assisted instruction in improving students’ understanding of core physics concepts expressed in Uzbek. A comparative experimental methodology was employed: one group received traditional instruction, while the other engaged with interactive, AI-supported lessons using localized terminology. The outcomes were evaluated through comprehension tests, semantic accuracy checks, and student feedback. The results indicate that the AI-driven approach significantly enhances learners’ grasp of scientific terms, promotes linguistic clarity, and fosters deeper conceptual understanding in native-language physics education.

##submission.authorBiography##

  • Navbahor Qurbanbayeva Shermat qizi
    Berdaq Karakalpak State University, Faculty of Physics, Department of Physics

##submission.downloads##

##submissions.published##

2025-07-28

##issue.issue##

##issue.vol## 31 ##issue.no## 1 (2025): Modern education and development

##section.section##

Articles

##submission.howToCite##

AI-ENHANCED PHYSICS INSTRUCTION IN UZBEK: EVALUATING COMPREHENSION OF SCIENTIFIC TERMINOLOGY USING LANGUAGE MODELS. (2025). Modern Education and Development, 31(1), 35-39. https://scientific-jl.com/mod/article/view/25538