ANALYZING THE PHYSICAL MEANING OF COMPLEX GRAPHS USING ARTIFICIAL INTELLIGENCE TOOLS: THE CASE OF ELECTROMAGNETIC WAVES

Authors

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

Keywords:

Electromagnetic waves, artificial intelligence, graph interpretation, physics education, data visualization, AI-assisted learning, waveforms, signal analysis, conceptual understanding, scientific reasoning

Abstract

Understanding the physical meaning behind complex graphs is a critical skill in physics education, particularly in topics such as electromagnetic waves where multiple parameters—such as electric field strength, magnetic flux, and frequency—interact dynamically. This study investigates the potential of artificial intelligence (AI) tools, including large language models and graph-interpreting algorithms, to assist students in interpreting and analyzing such complex visual data. By integrating AI into classroom instruction, learners are guided through the process of decoding waveforms, identifying physical properties, and making predictions based on graphical data. The research highlights improved comprehension, enhanced engagement, and the development of scientific reasoning skills when AI is used to support graph-based learning in physics.

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References

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Published

2025-07-08

How to Cite

Navbahor Qurbanbayeva Shermat kizi. (2025). ANALYZING THE PHYSICAL MEANING OF COMPLEX GRAPHS USING ARTIFICIAL INTELLIGENCE TOOLS: THE CASE OF ELECTROMAGNETIC WAVES. Journal of Applied Science and Social Science, 15(07), 97–100. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/1458

Issue

Vol. 15 No. 07 (2025): Volume 15 Issue 07

Section

Articles

License

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