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Experimental Analytical Model of Conditions and Quality Control of Vocational Training of Workers and Specialists

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dc.contributor Казанский федеральный университет
dc.contributor.author Масалимова Альфия Рафисовна
dc.contributor.author Chibakov Anatoly S
dc.date.accessioned 2016-09-02T06:58:24Z
dc.date.available 2016-09-02T06:58:24Z
dc.date.issued 2016
dc.identifier.citation Masalimova A.R. Experimental Analytical Model of Conditions and Quality Control of Vocational Training of Workers and Specialists / A.R. Masalimova, A.S. Chibakov // International Electronic Journal of Mathematics Education. - 2016. - Vol. 11. - № 6. - P. 1796-1808.
dc.identifier.uri http://dspace.kpfu.ru/xmlui/handle/net/104408
dc.description.abstract The purpose of the article is to develop models of effective organization and quality control of vocational training of workers and specialists on the basis of objective and reliable quantitative and qualitative indicators by using mathematical and statistical methods. The leading method to the research of this problem is analytical modeling, which allows to systematically scrutiny the dynamic processes of professional and personal developments of students in real conditions of theoretical and practical training. At this stage of the studying it can be stated that the proposed model of conditions and quality control of training skilled workers and mid-level professionals have received confirmation of effectiveness.
dc.language.iso ru
dc.relation.ispartofseries International Electronic Journal of Mathematics Education
dc.rights открытый доступ
dc.subject Professional education
dc.subject theoretic and practical training
dc.subject competence
dc.subject professional development
dc.subject.other Народное образование. Педагогика
dc.title Experimental Analytical Model of Conditions and Quality Control of Vocational Training of Workers and Specialists
dc.type Article
dc.contributor.org Институт психологии и образования
dc.description.pages
dc.relation.ispartofseries-issue 6
dc.relation.ispartofseries-volume 11
dc.pub-id 136930


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