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Blended learning technologies in the automotive industry specialists' training

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dc.contributor.author Makarova I.
dc.contributor.author Shubenkova K.
dc.contributor.author Pashkevich A.
dc.date.accessioned 2019-01-22T20:53:32Z
dc.date.available 2019-01-22T20:53:32Z
dc.date.issued 2018
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/149292
dc.description.abstract © 2018 IEEE. Today, business requires engineers with sufficient level of professionalism that mean not only high qualification, but also that students must be able to use personal, interpersonal and system competences in professional sphere. Therefore the system of engineering education in the 21st century should embrace the innovative principles, methods and teaching technologies. The analysis of applied forms of education shows that Blended Learning has advantages over traditional learning and E-Learning. For its successful implementation an intelligent learning environment, including such technologies, as gamification, virtual and augmented reality, has to be created. The specific feature of proposed approach is to use such modeling environment and software tools for education process, which are applied at manufacturing site as well as allow to model the systems, with which the future engineer will work in practices. Examples of interaction between Kazan Federal University and the Public Corporation 'KAMAZ' in engineers training are presented.
dc.subject Blended learning
dc.subject E-learning
dc.subject Engineering education
dc.subject Gamification
dc.subject Smart education
dc.subject Virtual reality
dc.title Blended learning technologies in the automotive industry specialists' training
dc.type Conference Paper
dc.relation.ispartofseries-volume 2018-January
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 319
dc.source.id SCOPUS-2018-2018-SID85056276503


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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