Research Library

open-access-imgOpen AccessTechnological model of training of Masters in Electrical Engineering to electrical installation and commissioning
Author(s)
Ilona Batsurovska
Publication year2021
Publication title
journal of physics. conference series
Resource typeJournals
PublisherIOP Publishing
The article presents the technological model of training of Masters in Electrical Engineering to electrical installation and commissioning. In the structure of the model of training future electrical engineers, three basic blocks are identified: motivational-target, content-procedural and resultant. The following components act as structural elements of the motivational-target block of the model: social order, technological progress and normative base, purpose, tasks. The content-procedural block of the model includes components of the Master’s readiness to electrical installation and commissioning (motivational, orientation, operational), as well as methods and tools of training. The resultant block contains a system of criteria for the formation of the Master’s readiness to electrical installation and commissioning, control procedure, levels of formation, self-assessment, result, as well as elements of self-correction and correction of content and methods of education. It is noted that the practical implementation of the proposed model involves a special organization of the learning process, application of appropriate methods and learning tools that would ensure the formation of components of readiness for this activity. The obtained results of the experimental study provide an opportunity to assert that the model of training of Masters in Electrical Engineering to electrical installation and commissioning is effective.
Subject(s)block (permutation group theory) , computer science , engineering , engineering management , geometry , law , mathematics , meteorology , operating system , physics , political science , process (computing) , project commissioning , publishing , training (meteorology)
Language(s)English
SCImago Journal Rank0.21
H-Index85
eISSN1742-6596
pISSN1742-6588
DOI10.1088/1742-6596/1946/1/012015

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