Formation of physical training of future engineers of the construction industry by means of programmed learning
| Autor: | Sergey Sevodin, Alexey Kurshev, Vladimir Kalmanovich |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Structure (mathematical logic)
Official statistics structural model Computer science physical training formation 05 social sciences 0211 other engineering and technologies 021107 urban & regional planning Cognition 02 engineering and technology Space (commercial competition) Physical strength Training (civil) Programmed instruction Environmental sciences Engineering management 0502 economics and business GE1-350 programmed learning Personal protective equipment 050203 business & management |
| Zdroj: | E3S Web of Conferences, Vol 274, p 09015 (2021) |
| ISSN: | 2267-1242 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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