Abstract
The urgency of the study is stipulated by the problem of professional training of personnel for the leading industries of the material production of the Russian Federation, one of which is the transport industry, in the context of implementation of the digital economy program and the integrated scientific and technological project “Digital Railway”. The nature of knowledge belonging to the intellectual field of the industry is revealed through the synthesis of the humanitarian (associated with man) and formal logical (associated with artificial systems). New requirements make it necessary to refer to modern educational technologies in the e-learning paradigm 3.0. Such technologies are based on knowledge presented in accordance with the international standard ISO/IEC - in the ontology format. In this regard, this paper is aimed at revealing the possibilities of semantic technologies in the development of virtual learning environments for educational organizations in the network structure of sectoral subordination in the open projects model. Development of ontological content is carried out remotely by joint efforts of representatives of the employer and education. FSBEI of Higher Education “Siberian State Transport University” (Novosibirsk) implements an interuniversity project on the development of the multilingual electronic learning environment “Onto.plus” on the basis of new technologies in the format of the digital economy. The proposed educational solution has been tested in the real learning process. Its effectiveness has been proved for the training of future transport industry personnel; the directions of the project development are outlined.
Highlights
The adoption of the Federal program for the development of the economy of the new technological generation “Digital Economy of the Russian Federation” (Order of the Government of the Russian Federation of July 28, 2017 No 1632-r.) marked the beginning of a number of initiatives of high-tech industries of material production, which include the transport industry
A semantic core was identified among them in the form of a list of concepts that formed the basis for a semantic model that allows the representation of interrelation between knowledge, skills, and https://doi.org/10.10 51/matecconf /201823907001 competences ensuring efficiency of professional activity of a graduate of the transport university in the digital economy
Understanding the future organizational and technological changes in Russia and its leading industries of material production, which include transport, makes us think about what competencies should be formed in future transport workers, how to build effective interaction between education, science, and production
Summary
The adoption of the Federal program for the development of the economy of the new technological generation “Digital Economy of the Russian Federation” (Order of the Government of the Russian Federation of July 28, 2017 No 1632-r.) marked the beginning of a number of initiatives of high-tech industries of material production, which include the transport industry. As a part of the program of innovative development of JSC “Russian Railways” for the period 2016-2020, a comprehensive scientific and technical project “Digital Railway” is approved This project conforms to the leading idea of the https://doi.org/10.10 51/matecconf /201823907001 digital economy, which consists in the creation of hybrid corporate intellects to exclude the negative influences of the human factor in the relations between subjects of economic activity. This becomes possible because of modern digital technologies, many of which are based on knowledge in the form of logical judgments. This requires the formalization of industry regulations and the creation of knowledge bases
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.