To download article.DOI: 10.15507/1991-9468.106.026.202201.055-071
Technology of Multilevel Interuniversity Indicators as a Factor for Increasing Academic Mobility. Experience Based on Russian Federal Educational Standards
Alexander P. Snegurenko
Associate Professor of the Chair of Industrial Economics and Management, Kazan National Research Technical University named after A. N. Tupolev-KAI (10 Karl Marx St., Kazan 420111, Russian Federation), Ph.D. (Eng.), ORCID: https://orcid.org/0000-0002-5515-3544, Scopus ID: 57208723750, Researcher ID: I-1028-2017, This email address is being protected from spambots. You need JavaScript enabled to view it.
Sergey S. Zaydullin
Head of the Chair of Applied Mathematics and Informatics, Kazan National Research Technical University named after A. N. Tupolev-KAI (10 Karl Marx St., Kazan 420111, Russian Federation), Ph.D. (Eng.), Associate Professor, ORCID: https://orcid.org/0000-0002-8285-9817, This email address is being protected from spambots. You need JavaScript enabled to view it.
Svetlana V. Novikova
Professor of the Chair of Applied Mathematics and Informatics, Kazan National Research Technical University named after A. N. Tupolev-KAI (10 Karl Marx St., Kazan 420111, Russian Federation), Professor of the Chair of Applied Mathematics, Differential Equations and Theoretical Mechanics, National Research Mordovia State University (68 Bolshevistskaya St., Saransk 430005, Russian Federation), Dr.Sci. (Eng.), ORCID: https://orcid.org/0000-0001-8207-1010, Scopus ID: 57203542635, Researcher ID: B-6505-2017, This email address is being protected from spambots. You need JavaScript enabled to view it.
Natalia L. Valitova
Associate Professor of the Chair of Applied Mathematics and Informatics, Kazan National Research Technical University named after A. N. Tupolev-KAI (10 Karl Marx St., Kazan 420111, Russian Federation), Ph.D. (Eng.), ORCID: https://orcid.org/0000-0002-8408-1885, Scopus ID: 230132182005, This email address is being protected from spambots. You need JavaScript enabled to view it.
Elmira S. Kremleva
Senior Lecturer of the Chair of Applied Mathematics and Informatics, Kazan National Research Technical University named after A. N. Tupolev-KAI (10 Karl Marx St., Kazan 420111, Russian Federation), ORCID: https://orcid.org/0000-0003-0858-0575, Scopus ID: 57194618280, This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Introduction. At the present time, more and more students are changing either their field of study or the university in the process of studying. This raises the problem of how to determine whether a student’s level of knowledge meets the host institution’s criteria. A simple comparison of competencies is not enough. Therefore, the authors propose a new system of comparing existing and required knowledge (competencies) at the new place of study. The purpose of this article is to present the results of research on the development and practical application of specific “competency trees” that allow for the automatic comparison and re-crediting of disciplines.
Materials and Methods. The research is based on the methods of system analysis for weakly formalized problems: the method of expert evaluations and the method of the goal tree. For direct development the method of construction of binary decision trees was used. To evaluate the effectiveness of the developed method, methods of observation and comparison were used.
Results. This article describes the specific steps for creating checklists based on multilevel competency indicator trees. The tables describe the four levels of competency acquisition. Based on the experiments carried out on the use of such tables for retake disciplines when transferring a student from one specialty to another, the following recommendations are made: if it is necessary to obtain a mark of the “Test” type in the Host University, the comparison is made according to the second level indicators; if it is necessary to obtain a mark of the type “Graded test/Test with a grade” in the Host University, the comparison is made according to the third level indicators; if it is necessary to obtain a mark of the “Exam” type in the Host University, the comparison is made according to the indicators of the deepest level for this indicator of the first level. The technique has been successfully tested for moving of a student within Kazan National Research Technical University named after A. N. Tupolev-KAI between the academic programs Aircraft Engineering and Applied Mathematics and Informatics.
Discussion and Conclusion. The proposed multilevel system of interuniversity indicators will significantly simplify the procedure for transferring subjects for students who are moved from one study program to another at any level – whether within one university, or between different universities of the Russian Federation. The use of an automated system for comparing the level of knowledge of a student when moving from one university to another will not only reduce the time of a student and teachers, but also eliminate the human factor, bias and subjectivity in the process of making decisions about transferring, and increase the transparency of this process. All this together will contribute to the development of academic mobility of students, increasing their competitiveness in the labor market and strengthening academic interuniversity relationships both in Russia and abroad.
Keywords: interuniversity indicators, multilevel competences, competence tree, academic mobility, professional competences, educational standards
The authors declare no conflict of interest.
For citation: Snegurenko A.P., Zaydullin S.S., Novikova S.V., Valitova N.L., Kremleva E.S. Technology of Multilevel Interuniversity Indicators as a Factor for Increasing Academic Mobility. Experience Based on Russian Federal Educational Standards. Integratsiya obrazovaniya = Integration of Education. 2022; 26(1):55-71. doi: https://doi.org/10.15507/1991-9468.106.026.202201.055-071
All authors have read and approved the final manuscript.
Submitted 01.09.2021; approved after reviewing 22.12.2021;
accepted for publication 30.12.2021.
A. P. Snegurenko – conceptualization.
S. S. Zaydullin – development of technical implementation; providing the technical base.
S. V. Novikova – mathematical modeling; development of a theoretical framework.
N. L. Valitova – participated in the development and technical support of the pedagogical experiment.
E. S. Kremleva – participation in the implementation of multilevel indicators in the educational process.
This work is licensed under a Creative Commons Attribution 4.0 License.
