| Issue |
E3S Web Conf.
Volume 371, 2023
International Scientific Conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East” (AFE-2022)
|
|
|---|---|---|
| Article Number | 03008 | |
| Number of page(s) | 11 | |
| Section | Innovations in Environmental Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202337103008 | |
| Published online | 28 February 2023 | |
Algorithmization of employers' requirements for IT-specialists in the field of energy, extraction of natural resources and ecology
1 MIREA - Russian Technological University, 119454 Moscow, Russian Federation
2 North-Caucasus Federal University, 355017 Stavropol, Russian Federation
* Corresponding author: kulikova_s@mirea.ru
At present, the constant improvement of IT technologies in the field of energy, natural resource extraction and ecology leads to a constant increase in the number of information tools and, accordingly, the necessary competencies. This trend has led to the problem of the main educational programs of higher education lagging behind the needs of the labor market due to the rapid development of these industries, including due to the long-term introduction of basic educational programs. The described problem is also confirmed by employers who note a decrease in the level of knowledge of graduates of the vocational education system in the field of IT support for processes in the energy sector, mining and ecology. In the article, the authors presented a description of the work of the system for analyzing the requirements of employers for specialists in the field of information technology. Identification of new, relevant and vacancies that have already appeared on the labor market will allow us to analyze and synchronize the requirements for skills and subsequently make changes to the content of the main professional educational programs and disciplines, taking into account the specific needs of employers.
© The Authors, published by EDP Sciences, 2023
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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