Issue |
E3S Web Conf.
Volume 274, 2021
2nd International Scientific Conference on Socio-Technical Construction and Civil Engineering (STCCE – 2021)
|
|
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Article Number | 09015 | |
Number of page(s) | 7 | |
Section | Innovative and Smart Technologies in Architectural and Construction Education | |
DOI | https://doi.org/10.1051/e3sconf/202127409015 | |
Published online | 18 June 2021 |
Formation of physical training of future engineers of the construction industry by means of programmed learning
1 Kazan State University of Architecture and Engineering, 420043 Kazan, Russia
2 Kazan National Research Technological University, 420111 Kazan, Russia
3 Kazan State Power Engineering University, 420034 Kazan, Russia
* Corresponding author: volek71@yandex.ru
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.
Key words: Physical training formation / programmed learning / structural model
© The Authors, published by EDP Sciences, 2021
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