Issue |
E3S Web Conf.
Volume 210, 2020
Innovative Technologies in Science and Education (ITSE-2020)
|
|
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Article Number | 18032 | |
Number of page(s) | 10 | |
Section | Environmental Education | |
DOI | https://doi.org/10.1051/e3sconf/202021018032 | |
Published online | 04 December 2020 |
Educational potential of the region: structural components and methodological approaches to assessment
1 Taganrog Institute of Economics and Management, 347900, Petrovskaya str., 45, Taganrog, Russia
2 Polytechnic Institute the branch of FSBIE DSTU in Taganrog, 347900, Petrovskaya str., 109-a, Taganrog, Russia
1 Corresponding author: i.oleynikova@tmei.ru
The essence and the key components of educational potential in a chosen territory are investigated. Theoretical basis and methodological approaches are to be used simultaneously to further assess educational potential in the territory; that gave us an opportunity to perform structural systematization of institutional, reproductive, and resource indicators which reflect educational potential’s components. This approach gives an opportunity to carry on comparative estimation of educational potential in a chosen area within the certain time frameworks and taking into account maximum number of parameters that show territorial differences and dynamics of the educational potential’s components. Impact of population density factors along with level and structure of development of a chosen territory on key institutional and reproductive indicators of educational potential in Russian macro-regions was evaluated. We present an argument for analysis of the dynamics of change of sectoral structure of regional economy under the influence of technological transformation is the basis for prediction of the key regional competencies as the basis for formation of qualitatively novel educational potential of a region that will correspond to modern technological paradigm.
© 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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