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Management of Student Physical Training for Professional Activity as Part of Engineering Education in Digital Era

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Advances in Automation V (RusAutoCon 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1130))

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Abstract

This article considers the issues of automating the processes of student physical training for professional activity as part of engineering education under the society's transition to Industry 4.0. In these conditions the role of scientific, theoretical, methodological and practical substantiation of the necessity to use information and communication technologies for the student physical fitness in the professional activity is actualized. One of the main areas of optimizing the process of student physical training in engineering universities is the construction of individual path of student physical training based on the differentiation of training loads adapted to the level of student physical fitness. The problem of educational and training load managing on the basis of continuous record of the indicators of the main morphofunctional body systems can be solved by creating and implementing the innovative methods of educational process arrangement using the information systems. Building a system to control the physical training process with the use of information technologies defines the mathematical formulation of the control task and the development of algorithms for its solution. To formalize the process of physical training, mathematical and functional models have been developed as the basis for building an information system to control student physical training. The article also provides the substantiation of the proposal to use the Industry 4.0 technology for solving the automation problems of physical training management for engineering students.

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Martynov, V., Lukyanov, A., Lukyanov, B. (2024). Management of Student Physical Training for Professional Activity as Part of Engineering Education in Digital Era. In: Radionov, A.A., Gasiyarov, V.R. (eds) Advances in Automation V. RusAutoCon 2023. Lecture Notes in Electrical Engineering, vol 1130. Springer, Cham. https://doi.org/10.1007/978-3-031-51127-1_24

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  • DOI: https://doi.org/10.1007/978-3-031-51127-1_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51126-4

  • Online ISBN: 978-3-031-51127-1

  • eBook Packages: EngineeringEngineering (R0)

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