E3S Web Conf.
Volume 210, 2020Innovative Technologies in Science and Education (ITSE-2020)
|Number of page(s)||8|
|Section||Social Determinants and Health Behaviors|
|Published online||04 December 2020|
Social and psychological attitudes of technical higher educational institution students
1 South-Russian Institute of Management – branch of Russian Academy of National Economy and Public Service under the President of the Russian Federation, 70, Pushkinskaya Str., Rostov-on-Don, Russia
2 Don State Technical University, 1, Gagarin sq., Rostov-on-Don, Russia
* Corresponding author: email@example.com
The article presents the results of the first time study of the features of social and psychological attitudes of students enrolled in technical higher educational institution in various training programs using the O.F. Potyomkina method of diagnostics of social and psychological attitudes of the personality in motivational-requirement sphere. By means of correlation analysis the interrelations have been established between social and psychological attitudes within the every training program. It has been found, that for the students of "Maintenance and repair" training program the structure of social attitudes has a holistic character, whereby redistributes the energy of the most pronounced areas in frustrated sphere, suggesting a more harmonious process of personal development of future specialists. It has been found that for the students of training programs "Organization and safety" and "Ground transportation" the structure of attitudes has either hard closed areas or isolated ones, which makes the energy exchange be implemented in the framework of the motivational sphere and indicates the disharmonious process of personal development of future specialists. It has been found that surveyed students of all training programs do not have a confrontation between "altruism" and "egoism", which indicates a certain personal immaturity of the respondents. Recommendations are formulated for curators of student groups and teachers working with students in these training programs. Our proposed research algorithm can be recommended for implementation in a higher educational institution of any training program as a motivational monitoring.
© The Authors, published by EDP Sciences, 2020
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