Open AccessPrognostic Model of Successful in Solving Professional Tasks by Students of Engineering Specialties of the Rocket and Space Industry
Author(s) -
Daria V. Lastovenko
Publication year - 2021
Publication title -
učenye zapiski rossijskogo gosudarstvennogo socialʹnogo universiteta
Language(s) - English
Resource type - Journals
ISSN - 2071-5323
DOI - 10.17922/2071-5323-2021-20-1-96-104
Subject(s) - metacognition , space industry , space (punctuation) , flexibility (engineering) , psychology , rocket (weapon) , mathematics education , adaptation (eye) , computer science , cognition , engineering , mathematics , statistics , neuroscience , aerospace engineering , operating system
The article discusses the predictors of the success of solving problems by students of engineering specialties of the space industry. The predictive model takes into account the characteristics of the characterological, metacognitive and self-regulatory characteristics of the subject successfully solving the problem. The features of the predictors of each of these components are described, and their general model is considered. The study involved 110 students of engineering specialties of the space industry. The following methods were used for the study: “Style of self-regulation of behavior” (V.I. Morsanova),”Self-assessment of metacognitive knowledge and metacognitive activity” (Yu.V. Skvortsova, M.M. Kashapov) and FPI-B (adaptation by A.A. Krylov, T.I. Ronginskaya). Predictors of success in solving professional tasks based on the results of an empirical study were self-regulation indicators: “Flexibility”, “General level of self-regulation”, “Evaluation of results”. The characterological component is represented only by the indicator “Depressiveness”. The features of the influence of each of the components on the success of solving problems in the aggregate and the possibility of increasing the success of solving problems are discussed. The article is based on the results of a dissertation research devoted to the study of psychological factors of solving professional problems by students of engineering specialties of the rocket and space industry.