CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
FUZZY DESCRIPTOR MODEL FOR ASSESSING THE SEVERITY OF COMPETENCE ACHIEVEMENT INDICATORS
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Read | Poletaykin Aleksey N., Podkolzin Vadim V., Kuleshova Nataliya V., Kunts Ekaterina Yu. FUZZY DESCRIPTOR MODEL FOR ASSESSING THE SEVERITY OF COMPETENCE ACHIEVEMENT INDICATORS // Caspian journal : management and high technologies. — 2019. — №3. — pp. 55-69. |
Poletaykin Aleksey N. - Cand. Sci. (Engineering), Associate Professor, Kuban State University, alex.poletaykin@gmail.com
Podkolzin Vadim V. - Cand. Sci. (Physics and Mathematics), Kuban State University, vvp_35@mail.ru
Kuleshova Nataliya V. - Cand. Sci. (Economics), Associate Professor, Siberian State University of Telecommunications and Information Science, natkuleshova@yandex.ru
Kunts Ekaterina Yu. - Head of the Distance Learning Department, Siberian State University of Telecommunications and Information Science, zentcova@sibsutis.ru
The article presents a mathematical approach to the construction of a descriptor model of competence. Competence is considered as the structure of learning outcomes such as know, be able, to own, on which indicators of achievement of competence are defined. The descriptors of competence achievement indicators are considered as a triad “Epithet”, “Activity”, “Object of control” and formalized at the structural level as fuzzy characteristics of the formation of competence in relation to learning outcomes and testing control tasks using a fuzzy logic apparatus. Input data for fuzzy estimation are formed on the basis of expert judgments of the teachers responsible for a check test. The procedure for assessing the severity of indicators of achievement of competencies is formalized as a fuzzy inference system configured by the same teacher. The model uses classical mechanisms of fuzzy logic, historically received the most widely used in systems of fuzzy inference and tested in problems of fuzzy control in different areas. The fuzzy inference technology is applied for the first time in the problems of assessment of competence formation on the basis of its descriptor model. The control example demonstrates the application of the constructed descriptor model consisting of 9 fuzzy production rules using 6 input fuzzy variables to assess the severity of the experimental indicator of competence achievement. The research results allow us to make a conclusion about the possibility of algorithmization of this model and its application for the automated development of evaluation tools for determining the severity of indicators of achievement of competencies, as well as the procedure for evaluating this severity.
Key words: Болонское соглашение, индикатор достижения компетенции, результаты обучения, дескриптор, нечеткая неопределенность, функция принадлежности, бинарное нечеткое отношение, нечеткая дескрипторная модель, нечеткий логический вывод, экспертные суждения, нечетки