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Solution of tasks of preparation and qualification of personnel of energy enterprises by using the automated knowledge control of knowledge
https://doi.org/10.15372/PEMW20200220
Abstract
The article is devoted to the methods of training and advanced training of personnel of Russian enterprises. Attention is drawn to the fact that the methods of staff training in the United States are systemic, integrated using the technology of «adaptability». The training of personnel with the help of e-learning is mostly less systematic, and is oriented more likely to the application of some elements (tools) of electronic learning in Russia. Nevertheless, as part of the development of the project to integrate online technologies into professional education programs, including additional ones, the number of open online courses (MOOCs) used for staff training is growing. In Russia, the most used method for monitoring personnel knowledge in various forms of personnel training is automated testing with the help of distance educational technologies, which allows to achieve didactic goals. Various tools have been developed to automate the process of controlling the knowledge of enterprise personnel. The article provides a comparative analysis of the functionality of two systems for automated testing of personnel of energy enterprises - INDIGO and LMS NSTU Dispace 2.0. It is shown that LMS NSTU can be used not only for knowledge control, realizing the testing function, but also recommend it for training, pedagogical monitoring and correction of the pedagogical process of training enterprise personnel. The necessity of supplementing electronic educational resources under the program «Fire Safety» with the methods of «involving training»is shown. With a standard feature set, the INDIGO testing system has a more sophisticated and accurate multi-stage testing and evaluation system.
About the Authors
M. V. LeganRussian Federation
Marina V. Legan - Ph.d. of Biological science; associate professor, head teaching department of Institute of Distance Learning.
Novosibirsk, 630 073, Novosibirsk, K. Marx Ave., 20. Office 233
A. V. Kozlova
Russian Federation
Anna V. Kozlova - Senior Lecturer, Department of Chemical Technology, NSTU, e-learning manager, Institute of Distance Learning.
Novosibirsk, 630 073, K. Marx Ave. 20, office 233
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Supplementary files
For citation: Legan M.V., Kozlova A.V. Solution of tasks of preparation and qualification of personnel of energy enterprises by using the automated knowledge control of knowledge. Professional education in the modern world. 2020;10(2):3826-3836. https://doi.org/10.15372/PEMW20200220
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