APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE PROCESS OF TEACHING PHYSICS AT A UNIVERSITY

Panov M., Sakovich N., Panova T.

Modern reality is characterized by the active integration of artificial intelligence tools into educational and work processes. These trends determine the relevance of including these tools in universities, which will allow students of higher schools to keep up with the times and improve their competencies in the field of digital education. Effective use of neural networks and other machine learning technologies is necessary to work in the international space and make scientific discoveries. One of the fundamental natural science disciplines that currently serves as the basis for other sciences, as well as plays an important role in technology and engineering, is physics, which closely interacts with artificial intelligence in all its fields. The purpose of the study is to determine the role of artificial intelligence in improving the effectiveness of teaching physics to university students. To achieve this goal, the following tasks were formulated and solved: the potential for integrating artificial intelligence technology in teaching physics in higher education was determined; the scientific and methodological literature on the use of neural networks in a virtual experimental laboratory was analyzed; the most popular neural networks and mobile applications used to solve physics problems were identified. The following methods were used in the course of the research: analysis, synthesis, generalization, systematization, formal logical method. Based on the results of the research, the following conclusions were formulated: the integration of artificial intelligence into the teaching of physics at the university transforms the educational paradigm, personalizing learning and increasing student engagement in the educational process.

Keywords:pedagogy, higher school, university, physics, artificial intelligence, neural network, virtual laboratories, mobile applications.