Modern industrial activities connected with professional actions in limited space, in personal protective equipment, in various environmental conditions, with increased smoke, gas, radio emissions, etc., require great physical strength, agility and endurance. Under these conditions arises an objective necessity of scientific substantiation of the content and structure of the model of the students' physical training formation, providing their fullfledged preparation for modern professional activity. Materials and methods. We applied analysis of scientific and methodical literature, statistical methods, and expert evaluation method. There were used data from open sources on the problem of research and official statistics data. It is obvious that the model of physical training formation of construction university students developed by us is the most effective in improving the cognitive activity of the students. The success of realization of our hypothesis in this part is provided in active and exploratory learning schemes. Also, in the active and exploratory schemes of learning students actively develop skills, i.e., the ability to adapt the acquired skills to changing conditions. The dogmatic and passive schemes ensure effective formation of physical skills, namely, stable, clearly algorithmized structures of motor actions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.