E3S Web Conf.
Volume 210, 2020Innovative Technologies in Science and Education (ITSE-2020)
|Number of page(s)||10|
|Section||Professional Development for Ecologists|
|Published online||04 December 2020|
Cross-border model of young personnel professional identity formation in Rostov region agro-industrial complex
Don State Technical University, 1, Gagarin sq., Rostov-on-Don, Russia
* Corresponding author: merciana@inbox
The article is devoted to the study of statistical data on the number of students in the agro-industrial direction in the Rostov region, their demand in the labor market in the conditions of cross-border educational process. The transformation of the education system into a service sector makes self-identification with the profession more difficult. Changes also occur in the system of values and norms of new generations of professionals, whose professional identification formed in the transitive period of the educational space. The considered interdisciplinary approaches to the definition of identity revealed difficulties in the interpretation of this phenomenon in pedagogy, the variety of semantic approaches existed. All these changes lead to the development of a new adaptive model of behavior among students, lack of misunderstanding by educational actors of the essence of the ongoing reforms in the education field and, as a result, the emergence of ineffective educational institutions. If a person identifies himself within the profession that he engaged in, then the efficiency of work, its usefulness will be much higher. Identity as an aspect of motivation will help to remove professional tension, internal conflict. Based on the processing of statistical data, a hypothesis that they have a professional identity proposed. The authors of the article put forward proposals to improve the level of professional identity of young professionals on the base of cross-border model.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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