Issue |
SHS Web Conf.
Volume 116, 2021
10th Annual International Conference “Schumpeterian Readings” (ICSR 2021)
|
|
---|---|---|
Article Number | 00060 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/shsconf/202111600060 | |
Published online | 30 July 2021 |
Digital educational ecosystem as a tool for the intellectual capital development
1 Saint-Petersburg State University of Economics (SPbSUE), 21, Sadovaya st., Saint-Petersburg, 191023, Russia
2 Saint-Petersburg Electrotechnical University («LETI») (SPbETU), 5, Professora Popova st., Saint-Petersburg, 197022, Russia
3 Udmurt Branch of the Institute of Economics, Ural Branch of the Russian Academy of Sciences, 4, Lomonosova st., Izhevsk, Udmurt Republic, 426000, Russia
* Corresponding author: petrov_maxim@rambler.ru
The analysis of the definitive aspect of the digital ecosystem concept is carried out, a generalized definition of this concept is given, taking into account the specific properties of its existence, which makes it possible to go beyond the IT-contextual understanding. The article provides a comparative analysis of existing approaches to assessing the digital ecosystem of education and forms the author's vision, which expands the content of the assessment mechanism, pays special attention to the impact of the digital education ecosystem on the intellectual capital development. The authors' attention is focused on studying the characteristics of the digital education ecosystem and analyzing the model for the intellectual capital development in the context of the transition of the world and Russian economies to a new technological level. Based on the analysis of empirical data, it is concluded that modern society requires a new structure (construction) and a completely different content of education. Considering the development trends of the world educational space and the characteristics of the modern intellectual economy, the necessity to develop a new model of education as a basic basis for the intellectual capital development is substantiated.
© The Authors, published by EDP Sciences, 2021
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.