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    Online Resource
    Online Resource
    Amazonia Investiga ; 2022
    In:  Revista Amazonia Investiga Vol. 11, No. 58 ( 2022-11-30), p. 93-103
    In: Revista Amazonia Investiga, Amazonia Investiga, Vol. 11, No. 58 ( 2022-11-30), p. 93-103
    Abstract: The article reveals the system of socio-economic training (SET) of officers in the process of continuing education. The structure of socio-economic competence of border guard officers studying to get Bachelor and Master degrees was determined, including motivational-ideological, informational-content, conative-deontological, personal-reflexive components. Formation of the socio-economic competence was diagnosed according to the following criteria: motivational, cognitive, activity-based, developing. To implement the SET for cadets and students at the academy was created an optimal educational environment built in compliance with specific pedagogical conditions of SET. The substantiation of these pedagogical conditions was carried out on the basis of expert evaluation, and reliability of results of the experts' work was proven by using dispersion factor analysis. The developed system of SET demonstrates its dynamism, integral properties and is characterized by stable, repeated cause-and-effect relationships. A structural-functional model of the process was designed. Generalization of the results made it possible to prepare methodological recommendations for the teaching staff on the development of socio-economic competence of cadets and students. Verification of the reliability of the results of the formation of socio-economic competence of cadets and students of the Bachelor and Master degrees was carried out by calculating and comparing the Fischer F-criterion. It was found that optimal level of socio-economic competence of the border guard officers can be achieved if the SET of cadets and Master degree students in the process of continuous education at the Academy is organized in accordance with proposed structural-functional model and pedagogical conditions.
    Type of Medium: Online Resource
    ISSN: 2322-6307
    URL: Issue
    Language: English
    Publisher: Amazonia Investiga
    Publication Date: 2022
    detail.hit.zdb_id: 2839084-2
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