employee from 01.01.2014 to 01.01.2025
The purpose of this study is to provide a theoretical substantiation of the content of regulations for the use of neural network technologies in research works of students of physical education universities. Research methods: analysis and synthesis of literary sources, analysis, comparison and classification of neural networks, and a survey method in the form of a questionnaire were used. Research results and conclusions. The components of artificial intelligence technologies, such as machine learning, neural networks, and deep learning, were revealed. Neural networks for solving specific tasks in the field of research were identified: for information search and analysis, and for composing grammatically correct scientific texts — their features were described. Based on a survey of undergraduate students, the use of artificial intelligence technologies in performing current assignments, as well as in research works of various levels, was analyzed. Steps were proposed to rationalize the use of neural networks in the educational process, related to technology training, task control, and increasing the personal competence of teachers.
higher physical education, artificial intelligence, neural networks, research work, cross-cutting digital technologies
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