Models and Approaches to Flexible Adaptation of Educational Processes in the Era of Digital Economy
- DOI
- 10.2991/aebmr.k.201205.018How to use a DOI?
- Keywords
- digital economy, digital competencies, integrated assessment mechanism, neural network technologies
- Abstract
In the era of growing digital economy education plays a crucial role in training qualified specialists having and demonstrating digital competencies needed on the labor market for a dynamically developing business. In order to develop mechanisms for optimizing the management of educational processes and improving the compliance of educational results with the needs of the economy this paper offers such formalized tools as mathematical models, methods and algorithms that allow you to obtain generalized competence assessments of the results of completing educational programmes and form strategies for curricula changes that flexibly adapt them to the current and projected requirements of the economy. The research also suggests the models for assessing the impact of providing and developing the digital economy competencies by educational structures on the development of the region. It is assumed that various educational structures in the region train specialists with different levels of digital competence development, and the personnel distribution according to the level of these competencies affects the main sub-indices which are the indicators of the region’s performance efficiency in the digital economy. There has been considered the possibility of using neural network technologies to study this impact.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - T.V. Azarnova AU - N.M. Shishkina AU - E.A. Shulgina PY - 2020 DA - 2020/12/07 TI - Models and Approaches to Flexible Adaptation of Educational Processes in the Era of Digital Economy BT - Proceedings of the 2nd International Scientific and Practical Conference on Digital Economy (ISCDE 2020) PB - Atlantis Press SP - 112 EP - 120 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.201205.018 DO - 10.2991/aebmr.k.201205.018 ID - Azarnova2020 ER -