International Electronic Journal of Mathematics Education

Experimental Analytical Model of Conditions and Quality Control of Vocational Training of Workers and Specialists
  • Article Type: Research Article
  • International Electronic Journal of Mathematics Education, 2016 - Volume 11 Issue 6, pp. 1796-1808
  • Published Online: 31 Aug 2016
  • Article Views: 515 | Article Download: 567
  • Open Access Full Text (PDF)
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Masalimova AR, Chibakov AS. Experimental Analytical Model of Conditions and Quality Control of Vocational Training of Workers and Specialists. Int Elect J Math Ed. 2016;11(6), 1796-1808.
APA 6th edition
In-text citation: (Masalimova & Chibakov, 2016)
Reference: Masalimova, A. R., & Chibakov, A. S. (2016). Experimental Analytical Model of Conditions and Quality Control of Vocational Training of Workers and Specialists. International Electronic Journal of Mathematics Education, 11(6), 1796-1808.
Chicago
In-text citation: (Masalimova and Chibakov, 2016)
Reference: Masalimova, Alfiya R., and Anatoliy S. Chibakov. "Experimental Analytical Model of Conditions and Quality Control of Vocational Training of Workers and Specialists". International Electronic Journal of Mathematics Education 2016 11 no. 6 (2016): 1796-1808.
Harvard
In-text citation: (Masalimova and Chibakov, 2016)
Reference: Masalimova, A. R., and Chibakov, A. S. (2016). Experimental Analytical Model of Conditions and Quality Control of Vocational Training of Workers and Specialists. International Electronic Journal of Mathematics Education, 11(6), pp. 1796-1808.
MLA
In-text citation: (Masalimova and Chibakov, 2016)
Reference: Masalimova, Alfiya R. et al. "Experimental Analytical Model of Conditions and Quality Control of Vocational Training of Workers and Specialists". International Electronic Journal of Mathematics Education, vol. 11, no. 6, 2016, pp. 1796-1808.
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Masalimova AR, Chibakov AS. Experimental Analytical Model of Conditions and Quality Control of Vocational Training of Workers and Specialists. Int Elect J Math Ed. 2016;11(6):1796-808.

Abstract

The relevance of the study problem is caused by the transformation in professional education on achieving international standards, increasing requirements to the quality of training skilled workers and mid-level professionals, preparing of students for successful employment in high-tech production and well-developed services. 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. A set of terms and indicators has been developed as instrumentation: percentages of time; individual coefficient and performance indicators by main types of training activities; total individual performance indicator; theoretical and real individual indicators of the number of assessments; GPA; individual coefficients considering attending the additional courses and activities, participation in professional competitions and effectiveness of this participation; integrated individual (group) indicator of the quality of learning; individual (group) rating. The proposed model provides the purposeful and systematic formation of General and professional competences of students. Analytical model conditions and the quality control of training of workers and specialists are tested in educational institutions and designed for practical usage of teaching staff of educational institutions to predict future achievements of professional learning, obtaining intermediate and final analytical results and making timely adjustments to the educational process.

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