USING WOLFRAM MATHEMATICA SOFTWARE ENVIRONMENT TO PROCESS THE RESULTS OF THE LABORATORY WORK “NEWTON'S RING”
Abstract
This article deals with the urgent problem of introducing modern information technologies into the physics workshop, which increases the efficiency of the educational process and contributes to the formation of students' research competencies. The aim of the study is to analyze the capabilities of the Wolfram Mathematica software environment for processing and visualizing the results of interference experiments on the example of the laboratory work “Newton's Rings”. The research methods include theoretical analysis of interference phenomena, computer modeling in the Wolfram Mathematica software environment, and the use of interactive demonstrations of the Wolfram Demonstrations Project. An algorithm for processing experimental data is proposed, which allows the automation of calculations and improves their accuracy. The results of the study are presented in the form of a mathematical model of Newton's rings, which provides a visualization of the interference pattern and allows studying the dependence of its characteristics on various physical parameters of the system. Methodical recommendations for integrating Wolfram Mathematica software environment into a laboratory physics workshop have been developed. It is proved that the use of this software contributes to the development of skills in working with modern software tools, stimulates students' research activities, and provides interdisciplinary links between physics, mathematics, and computer science. The implementation of the proposed methodology allows the preparation of future specialists for professional activities in the context of the digital transformation of science and education. The paper highlights the pedagogical value of the Wolfram Demonstrations Project as an accessible and interactive supplement to theoretical instruction and physical experimentation. The results confirm that incorporating Wolfram Mathematica into the laboratory framework supports the development of digital competencies, critical thinking, and a research-oriented mindset. Ultimately, the implementation of this methodology prepares students for professional scientific work in an era of digital transformation in science and education.
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References
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