Assessment of competencies in the Federal state educational standard (FSES) 3++ based on a fuzzy-logical approach
https://doi.org/10.21822/2073-6185-2021-48-4-72-80
Abstract
Objective. The article discusses the methodology for assessing competencies in the educational standards of the Federal State Educational Standard 3++.
Method. Competence assessment is carried out through competency indicators. To assess the competence of a complex multilayer object, the mathematical apparatus of the theory of fuzzy sets was used.
Result. A step-by-step example of competency assessment is given. The process of transformation of input variables into fuzzy sets is presented - assessments of competency indicators. A trapezoidal scale of linguistic terms has been developed. The processes of fuzzification, accumulation and defuzzification are presented step by step. A final clear assessment of competence was obtained.
Conclusion. The introduction of fuzzy numbers allows all calculations to be performed quite flexibly and, as a result of defuzzification, to obtain an objective assessment of the formed competence.
About the Author
O. V. AstashinaRussian Federation
Olga V. Astashina, Post-graduate Student, Department of Computational and Applied Mathematics, Senior Lecturer, Department of Foreign languages
59/1 Gagarina Str., Ryazan 390005
References
1. Zimnyaya I.A. Key competencies as an effective-target basis of a competence-based approach in education. Author's version. Research Center for the Problems of the Quality of Training of Specialists. 2004; 40 (In Russ)
2. Raven J. Competence in modern society: identification, development and implementation / Per. from English , Kogito-Center. 2002; 396. (In Russ)
3. Tigina MS Model for assessing the level of formation of competencies. [Vestnik MGUP imeni Ivana Fedorova ] Bulletin of Moscow State University named after Ivan Fedorov. 2015; 2: 310-314. (In Russ)
4. Gusyatnikov V.N., Bezrukov A.I., Kayukova I.V. A multidimensional testing model for measuring the level of formed competencies // Interdisciplinary research in the field of mathematical modeling and informatics: Proceedings of the 2nd scientific and practical internet conference. otv. ed. Yu.S. Nagornov. Ulyanovsk: SIMJET, 2013; 34-40. (In Russ)
5. Vorobiev E.V. Principles of automation of knowledge assessment in the transition to a competence-oriented educational system [Electronic resource] [Vestnik MGUP imeni Ivana Fedorova ] Bulletin of Moscow State University named after Ivan Fedorov.2013; 9: 28-31. Access mode: http://cyberleninka.ru/article/n/printsipy-avtomatizatsiiotsenki-znaniy-pri-perehode-kkompetentnostno-orientirovannoy-obrazovatelnoysisteme. Date of access: 22.11.2016. (In Russ)
6. Dondik E.M. System analysis of information control systems: Textbook. Manual. Ryazan State Radio Engineering Academy Ryazan. 2004; 44. (In Russ)
7. Leshchinsky B.S. Assessment of student knowledge using the theory of fuzzy sets. [Vestnik Tomskogo gosudarstvennogo universiteta] Bulletin of the Tomsk State University. 2003; 374-378 (In Russ)
8. Zade L. The concept of a linguistic variable and its application to decision-making. Moscow: [Mir] World. 1976. (In Russ)
9. Fuzzy Sets in Control Models and Artificial Intelligence / Ed. D. A. Pospelova. [Nauka] Science. Ch. ed. phys.-mat. lit., 1986; 312. (Problems of artificial intelligence) (In Russ)
10. Khizhnyakov Yu. N. Algorithms of fuzzy, neural and neuro-fuzzy control in real-time systems: textbook. allowance. Perm: PNRPU Publishing House. 2013; 160. (In Russ)
Review
For citations:
Astashina O.V. Assessment of competencies in the Federal state educational standard (FSES) 3++ based on a fuzzy-logical approach. Herald of Dagestan State Technical University. Technical Sciences. 2021;48(4):72-80. (In Russ.) https://doi.org/10.21822/2073-6185-2021-48-4-72-80