Quantitative methods for assessing the level of competence for quality management systems of education

ПОДЕЛИТЬСЯ С ДРУЗЬЯМИ
Authors


Doctor of Physical and Mathematical Sciences, Professor, Head of Department of Applied Mathematics and Computer Science
Russia, Saratov Institute of Social and Economic RG Plekhanov
victorgsar@rambler.ru


PhD, Associate Professor of Applied Mathematics and Informatics
Russia, Saratov Social and Economic Institute REU them. Plekhanov
bezr_alex@mail.ru


PhD student, Department of Applied Mathematics and Computer Science
Russia, Saratov Social and Economic Institute REU them. Plekhanov
i.v.kayukova@mail.ru

Abstract

The paper studies the process of assessing the quality of education in higher education. The concept of educational quality which is considered from the point of view of all interested parties in the form of indicators sets and which structure included the additional indicators connected with an external assessment from employers, graduates and all society. The Rasch model for educational quality assessment is modernized by introduction of the additional parameters characterizing tests non-standard and their practical importance. That allowed using model for forecasting of probability of manifestation of separate components of competence. The author shows aggregate indicators to measure the level of aggregate formed competencies. The results can be used to assess the quality of the educational process in the transition to the new educational standards. Assessed error of actual measurements. The results can be used in the Quality Management System of Education on going to new educational standards.

Keywords

educational process, competence, assessment of the quality of education, quality management system of education

Финансирование

This work was supported by RFBR grant 14-06-00339.

Рекомендуемая ссылка

Gusjatnikov Viktor Nikolaevich , Bezrukov Aleksej Iosifovich , Kajukova Inna Viktorovna
Quantitative methods for assessing the level of competence for quality management systems of education// Современные технологии управления. ISSN 2226-9339. – #3 (51). Номер статьи: 5105. Дата публикации: . Режим доступа: http://sovman.ru/en/article/5105/

Full article text is available only in Russian.
Please select from the menu Russian language and continue reading.


References

  1. Bol’shakov A.A., Veshneva I.V., Mel’nikov L.A., Perova L.G. Method of assessment of professional competence-based approach to linguistic system university management [Metod ocenki professional’nyh kompetencij, osnovannyj na lingvisticheskom podhode dlja sistemy upravlenija vuzom]. Management system and information technologies. 2013. V. 43. № 1.1. pp. 117-121.
  2. Gusjatnikov V.N., Bezrukov A.I., Kajukova I.V. Methods of assessment the level formed competencies based on the modernized Rasch model [Metody ocenki urovnja formiruemyh kompetencij na osnove modernizirovannoj modeli Rasha]. Modern problems of science and education. 2014. №6. pp. 1704.
  3. Gusjatnikov V.N., Bezrukov A.I., Sokolova T.N. Problems of forming competences in the field of information security [Problemy formirovanija kompetencij v oblasti informacionnoj bezopasnosti]. Information security of regions. 2014. №2. pp. 27-31.
  4. Gusjatnikov V.N., Sokolova O.Ju., Sokolova T.N., Kajukova I.V. Creation of models for the analysis of quality of educational process on the basis of technologies of computer testing [Postroenie modelej dlja analiza kachestva obrazovatel’nogo processa na osnove tehnologij komp’juternogo testirovanija]. Vestnic Saratov stats social-economic university. 2009. № 04. pp. 197-200.
  5. Eliseev I.N. Methodology of assessment of student competencies [Metodologija ocenki urovnja kompetencij studenta]. Computer science and education. 2012. №4. pp. 80-85.
  6. Zvonnikov V.I, Chelyshkova M.B. ASSESSMENT competence of managers [Ocenka kompetentnosti menedzherov]. Higher education today. 2013. № 4. pp.14-19
  7. Ushakov D.V. Intelligence Tests, Creativity Assessment and Expert Evaluation [Testy intellekta, kreativnosti i jekspertnye ocenki]. Psychology. Journal of graduate school of economics. 2004. V.1. № 4. pp. 28-37.