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

Authors

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

Keywords:

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

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.

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References

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Published

2025-07-08

How to Cite

Navbahor Qurbanbayeva Shermat kizi. (2025). AI-ENHANCED PHYSICS INSTRUCTION IN UZBEK: EVALUATING COMPREHENSION OF SCIENTIFIC TERMINOLOGY USING LANGUAGE MODELS. International Multidisciplinary Journal for Research & Development, 12(07). Retrieved from https://www.ijmrd.in/index.php/imjrd/article/view/3528