Using e-learning tools to enhance students-mathematicians’ competences in the context of international academic mobility programmes
- Authors: Snegurenko A.P.1, Sosnovsky S.A.2, Novikova S.V.1, Yakhina R.R.1, Valitova N.L.1, Kremleva E.S.1
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Affiliations:
- Kazan National Research Technical University named after A. N. Tupolev-KAI
- Utrecht University
- Issue: Vol 23, No 1 (2019)
- Pages: 8-21
- Section: International Experience in the Integration of Education
- Submitted: 21.05.2025
- Accepted: 21.05.2025
- Published: 15.03.2019
- URL: https://journal-vniispk.ru/1991-9468/article/view/292897
- DOI: https://doi.org/10.15507/1991-9468.094.023.201901.008-022
- ID: 292897
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Abstract
Introduction. The article is concerned with the use of special electronic teaching tools to increase the students’ understanding of the subject and adaptation to the professional language environment of the host country, taking into account the mathematical education. Our purpose is to develop a methodology of multilingual support of mathematical courses in the host country to improve the effectiveness of students’ academic mobility using e-learning tools.
Materials and Methods. The basis of the research was methods of system analysis and descriptive and analytical methods, primarily experimental. To identify advantages of the proposed approach the methods of empirical research were used (observation and comparison). To prove the efficiency, classical methods of measurement were used.
Results: We analyzed the existing electronic learning environments and defined an e-learning environment Math-Bridge that allows for creating mathematical courses in several languages in parallel. For example, the e-training course “Optimization Methods” was developed in three languages for training Russian-speaking Master programme students. The comparative analysis of the target and control student’s groups showed that 100 % of the students in the target group achieved an excellent level of mastering competencies, while the control group has only 75 %. For the control group, the degree of motivation to mathematical studying has not virtually changed (increase by 0,86 %). In the target group the level of student interest to the mathematics increased from 0,9 % to 8,9 % (mean 2.21 %).
Discussion and Conclusion. The results described in the article will be useful for the staff of international departments, administrations and deans, as well as teachers of those universities that participate in the students’ international academic mobility programmes.
About the authors
Alexander P. Snegurenko
Kazan National Research Technical University named after A. N. Tupolev-KAI
Email: APSnegurenko@kai.ru
ORCID iD: 0000-0002-5515-3544
ResearcherId: I-1028-2017
Head of the International Office, Ph.D. (Engineering)
Russian Federation, 10 Karl Marx St., Kazan 420111Sergey A. Sosnovsky
Utrecht University
Email: s.a.sosnovsky@uu.nl
ORCID iD: 0000-0001-8023-1770
Scopus Author ID: 8935519700
Assistant Professor of Department of Information and Computing Sciences, Software Technology for Learning and Teaching Group, Doctor of Philosophy (Ph.D.) in Information Sciences
Netherlands, 5 Princetonplein, Utrecht 3584 CCSvetlana V. Novikova
Kazan National Research Technical University named after A. N. Tupolev-KAI
Author for correspondence.
Email: sweta72@bk.ru
ORCID iD: 0000-0001-8207-1010
Scopus Author ID: 55355243900
ResearcherId: B-6505-2017
Professor of Chair of Applied Mathematics and Computer Science, Dr.Sci. (Engineering)
Russian Federation, 10 Karl Marx St., Kazan 420111Rouzilya R. Yakhina
Kazan National Research Technical University named after A. N. Tupolev-KAI
Email: shroza1981@yandex.ru
ORCID iD: 0000-0002-7371-064X
Scopus Author ID: 57194621008
ResearcherId: C-7689-2018
Head of Foreign Languages Chair, Ph.D. (Philology)
Russian Federation, 10 Karl Marx St., Kazan 420111Natalia L. Valitova
Kazan National Research Technical University named after A. N. Tupolev-KAI
Email: valinata@rambler.ru
ORCID iD: 0000-0002-8408-1885
Scopus Author ID: 23013218200
Associate Professor of Chair of Applied Mathematics and Computer Science, Ph.D. (Engineering)
Russian Federation, 10 Karl Marx St., Kazan 420111Elmira Sh. Kremleva
Kazan National Research Technical University named after A. N. Tupolev-KAI
Email: e-smile29.04@mail.ru
ORCID iD: 0000-0003-0858-0575
Scopus Author ID: 57194618280
Lecturer of Chair of Applied Mathematics and Computer Science
Russian Federation, 10 Karl Marx St., Kazan 420111References
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