Article Gold Open Access 2020

Development of engineering students competencies based on cognitive technologies in conditions of industry 4.0

International Journal of Cognitive Research in Science, Engineering and Education
Journal · Vol. 8 · Issue Special Issue 1 · pp. 93-101
Abstract

Industry 4.0 and Society 5.0 concepts are actively developing all over the world. The accelerating transition to Industry 4.0 and Society 5.0 sets new requirements for the university education system in qualifications and competencies of engineering universities graduates. The article reveals the possibilities of using cognitive models in the professional training of research engineers for new industries. Authors used the modeling method for creating a cognitive and metacognitive model of the process. It can be used for the development of forming the optimal structure of higher professional engineering education. The article substantiates that the main tasks of modernization of pedagogical approaches in modern education, is to establish the compliance of educational products with the labor market requirements and transform the structure of vocational education, providing training for professional specialists required by specific employers. Conclusions are drawn about the important role of soft skills for engineering education in Industry 4.0. The results obtained in the study can be used for the engineering category of students. © 2020, Association for the Development of Science, Engineering and Education. All rights reserved.

Keywords

Author Keywords

Engineering education Industry 4.0 Reflection Cognitive abilities Individual’s self-development Metacognitive competencies

Index Keywords

Author Affiliations
Perm National Research Polytechnic University, Perm, Perm Krai, Russian Federation
Department of World Economy, HSE University, Moscow, Russian Federation
Funding & Acknowledgements
Grant: FSNM-2020-0026
The work is a part of base portion of the state task of the Ministry of Education and Science of the Russian Federation to Perm National Research Polytechnic University (topic № FSNM-2020-0026).
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