CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
Optimization model of professional competencies design
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Read | Danilova L.P., Zakharov N.Yu., Poletaykin A.N., Shevtsova Yu.V. Optimization model of professional competencies design // Caspian journal : management and high technologies. — 2017. — №4. — pp. 86-103. |
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Danilova L.P. - Junior Researcher, e, Siberian State University of Telecommunications and Information Science, 86 Kirova St, Novosibirsk, 630102, Russian Federation, lubermolenko@yandex.ru
Zakharov N.Yu. - Junior Researcher, post-graduate Student, Siberian State University of Telecommunications and Information Science, 86 Kirova St, Novosibirsk, 630102, Russian Federation, zakhar_1907@mail.ru
Poletaykin A.N. - Cand. Sci. (Engineering), Associate Professor, Kuban State University, 149 Stavropol’skaya St, Krasnodar, 350040, Russian Federation, alex.poletaykin@gmail.com
Shevtsova Yu.V. - Cand. Sci. (Engineering), Associate Professor, Siberian State University of Telecommunications and Information Science, 86 Kirova St, Novosibirsk, 630102, Russian Federation, shevcova_yuliya@mail.ru
The paper proposes innovative approach to the design of competency model of professional educational program. The idea is to design optimally-structured professional competencies and their clustering taking into consideration employer’s preferences. This research is devoted to the development of a multiparametric objective function and basic optimization model to solve the problem of designing educational competencies based on professional standards. At the same time, the given definition of a competency states that it is a coherent structure of necessary knowledge, skills and labor actions, determined by labor functions and parameterized expert assessments. The authors have determined and formalized sixteen partial criteria for the optimization of the competency structure. Utilizing the defined partial criteria, the paper develops an integral criterion of the optimization model. The basis of the optimization model is the unit of genetic algorithms.
Key words: конструирование компетенций, трудовые функции, структурная модель, групповые экспертные оценки, частные критерии, многопараметрическая оптимизация, целевая функция, competencies determination, labor function, structural model, group expert assessments, pa