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Improving the Quality of Knowledge Among Academic Lyceum Students by Integrating Artificial Intelligence Technologies Into Physics Education

Year: 2026

Type: article

Abstract: This article examines how integrating artificial intelligence (AI) technologies, such as adaptive learning platforms, interactive simulations, and generative language models, into physics teaching can improve the quality of knowledge among academic lyceum students. A pedagogical experiment comparing AI-supported instruction with traditional methods showed higher conceptual understanding, analytical thinking, and motivation in the experimental group, while also highlighting risks such as over-reliance on AI and the need for teacher guidance. The findings indicate that, when used systematically and under teacher supervision, AI technologies enhance knowledge quality and support student-centered physics education. Keywords: artificial intelligence; physics education; academic lyceum; quality of knowledge; adaptive learning; intelligent tutoring system; personalized learning

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23828196

Author: D.A. Xatamova X.I.Xatamov Academic Lyceum No. 2 of Fergana State Technical University Physics Teachers

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W7224993545

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