Multilevel Interuniversity Indicators Technology of Creation for Checking the Professional Competencies Achievement in Order to Increase Students’ Academic Mobility

Abstract

Currently, there is an unprecedented increase in the level of academic mobility of students with the introduction of the Bologna system into the Russian education system. In this regard, the problem of assessing the existing knowledge (competencies) with which a student comes to a new university arises. Even if a student moves from one university to another without changing the specialty of study, in 90% of cases the set of disciplines studied by him or her previously differs significantly from the disciplines studied by students of the new university. This is largely facilitated by the fact that the current educational standards of the Russian Federation set competences, not disciplines. On the other hand, there are often cases when the list of acquired knowledge and skills intersects with the actual content of disciplines in a new university, despite the fact that the names of disciplines differ. This creates significant difficulties for both the student and the lecturers. In this weakness, the student has to retake subjects that differ in name, but are the same in content with those already studied in the previous university, and lecturers have to spend time receiving intermediate certification from such students. This article contains practical proposals for modifying the existing system for determining competencies, which consists in creating a system of interuniversity indicators of achieving specific professional knowledge and skills. Such system will make it possible to determine the list of missing indicators for mastering the specialty of education in a new university for the student.

Author Biographies

Alexander Pavlovich Snegurenko, Kazan National Research Technical University named after A. N. Tupolev - KAI

Head of the International Office, Associate Professor of the Department for Economics and Company Management, Institute for Economics, Management and Social Technologies, Ph.D. (Engineering)

Sergey Sagitovich Zaydullin, Kazan National Research Technical University named after A. N. Tupolev - KAI

Head of the Department for Applied Mathematics and Informatics, Institute for Computer Technologies and Information Protection, Associate Professor

Svetlana Vladimirovna Novikova, Kazan National Research Technical University named after A. N. Tupolev - KAI

Professor of the Department for Applied Mathematics and Informatics, Institute for Computer Technologies and Information Protection, Dr.Sci. (Technology)

Natalia Lvovna Valitova, Kazan National Research Technical University named after A. N. Tupolev - KAI

Associate Professor of the Department for Applied Mathematics and Computer Science, Institute for Computer Technologies and Information Protection, Ph.D. (Engineering)

Elmira Shamilevna Kremleva, Kazan National Research Technical University named after A. N. Tupolev - KAI

Senior Lecturer of the Department for Applied Mathematics and Computer Science, Institute for Computer Technologies and Information Protection

References

1.Lauder H., Mayhew K. Higher education and the labour market: an introduction. Oxford Review of Education. 2020; 46(1):1-9. (In Eng.) DOI: https://doi.org/10.1080/03054985.2019.1699714
2.Zaydullin S.S., Novikova S.V. Kontseptsiya mezhdunarodnoy obrazovatel'noy sredy dlya obucheniya IT-spetsialistov na osnove zaprosov rynka truda [The concept of international educational environment for learning IT-specialists based on requests of the labour market]. Uchenye zapiski ISGZ = Scientific notes ISGZ. 2016; 14(1):245-249. Available at: https://elibrary.ru/item.asp?id=25908188 (accessed 27.02.2021). (In Russ., abstract in Eng.)
3.Sukhomlin V., Zubareva E. Analytical Review of the Current Curriculum Standards in Information Technologies. In: V. Sukhomlin, E. Zubareva (Eds.) Modern Information Technology and IT Education. SITITO 2018. Communications in Computer and Information Science, vol. 1201. Springer, Cham; 2020. p. 3-41. (In Eng.) DOI: https://doi.org/10.1007/978-3-030-46895-8_1
4.Sukhomlin V., Zubareva E., Namiot D. Multiplatform System of Digital Talents Development "Academy of OIT". In: V. Sukhomlin, E. Zubareva (Eds.) Modern Information Technology and IT Education. SITITO 2017. Communications in Computer and Information Science, vol. 1204. Springer, Cham; 2021. p. 3-13. (In Eng.) DOI: https://doi.org/10.1007/978-3-030-78273-3_1
5.Dudakov S.M., Zakharova I.V. Monitoring the formation of mathematical competences in students of IT-specialties. Engineering education. 2017; 21:90-95. Available at: https://www.elibrary.ru/item.asp?id=29988095 (accessed 27.02.2021). (In Russ.)
6.Karavayeva Y.V., Kovtun Y.N. Adapting the Tuning Programme Profiles to the Need of Russian Higher Education. Tuning Journal for Higher Education. 2013; 1(1):187-202. (In Eng.) DOI: https://doi.org/10.18543/tjhe-1(1)-2013pp187-202
7.Gonzales-Dholakia G. Computing competencies: ensuring student success. Proceedings of the 31st annual ACM SIGUCCS fall conference (SIGUCCS '03). Association for Computing Machinery, New York, NY, USA; 2003. p. 18-20. (In Eng.) DOI: https://doi.org/10.1145/947469.947476
8.Rawboon K., Yamazaki A.K., Oda S., Wongsatanawarid A. Global Competencies for Engineering Education: A Comparative Study of Industry and Academic Perspectives. Proceedings of the 5th International Conference on Information and Education Innovations (ICIEI 2020). Association for Computing Machinery, New York, NY, USA; 2020. p. 66-71. (In Eng.) DOI: https://doi.org/10.1145/3411681.3412949
9.Sharipova O.M. Professional standarts, digitalization, competency model: correlation for achievement of strategic goals. Jekonomika i obshhestvo = Economy and Society. 2020; (S1):56-66. Available at: https://www.elibrary.ru/item.asp?id=42809992 (accessed 27.02.2021). (In Russ., abstract in Eng.)
10.Gugina E.V., Kuzenkov O.A. Educational standards of the Lobachevsky State University of Nizhni Novgorod. Vestnik of Lobachevsky University of Nizhni Novgorod. 2014; (3-4):39-44. Available at: https://elibrary.ru/item.asp?id=22862964 (accessed 27.02.2021). (In Russ., abstract in Eng.)
11.Novikova S.V., Zaydullin S.S. Realizatsiya gibkoy obrazovatel'noy trayektorii IT-spetsialistov na osnove blochnogo e-learning-podkhoda [The implementation of a flexible educational path for IT-specialists on the basis of cluster approach to e-learning]. Uchenye zapiski ISGZ = Scientific notes ISGZ. 2016; 14(1):423-427. Available at: https://elibrary.ru/item.asp?id=25908220 (accessed 27.02.2021). (In Russ., abstract in Eng.)
12.Zakharova I., Kuzenkov O., Soldatenko I., Yazenin A., Novikova S., Medvedeva S., Chukhnov A. Using SEFI framework for modernization of requirements system for mathematical education in Russia. Proceedings of the 44th SEFI Annual Conference 2016 – Engineering Education on Top of the World: Industry University Cooperation (SEFI 2016). Tampere, Finland; 2016. Available at: http://sefibenvwh.cluster023.hosting.ovh.net/wp-content/uploads/2017/09/zakharova-using-sefi-framework-for-modernization-of-requirements-system-for-mathematical-education-155.pdf (accessed 27.02.2021). (In Eng.)
13.Kuzenkov O.A., Zakharova I.V. Mathematical programs modernization based on Russian and international standards. Sovremennye informacionnye tehnologii i IT-obrazovanie = Modern Information Technologies and IT-Education. 2018; 14(1):233-244. (In Eng.) DOI: https://doi.org/10.25559/SITITO.14.201801.233-244
14.Babich A.V., Sheveleva N.A., Vasiliev I.A. Academic mobility: current legal regulation and its practical application. ZAKON. 2016; (11):50-58. Available at: https://www.elibrary.ru/item.asp?id=27389520 (accessed 27.02.2021). (In Russ., abstract in Eng.)
15.Sakhieva R.G. et al. The Essential, Objective and Functional Characteristics of the Students’ Academic Mobility in Higher Education. Review of European Studies. 2015; 7(3):335-340. (In Eng.) DOI: http://dx.doi.org/10.5539/res.v7n3p335
16.Sumathi S., Esakkirajan S. Fundamentals of Relational Database Management Systems. Studies in Computational Intelligence, vol. 47. Springer, Berlin, Heidelberg; 2007. (In Eng.) DOI: https://doi.org/10.1007/978-3-540-48399-1
17.Connolly T.M., Begg C.E. Database Systems: A Practical Approach to Design Implementation and Management. 6th ed. Pearson; 2015. (In Eng.)
18.Schleicher A. Developing Twenty-First-Century Skills for Future Jobs and Societies. In: B. Panth, R. Maclean (Eds.) Anticipating and Preparing for Emerging Skills and Jobs. Education in the Asia-Pacific Region: Issues, Concerns and Prospects, vol. 55. Springer, Singapore; 2020. p. 47-55. (In Eng.) DOI: https://doi.org/10.1007/978-981-15-7018-6_7
19.Fennell P. Extremes of XML. XML London 2013 Conference Proceedings. University College London, London, United Kingdom; 2013. p. 80-86. (In Eng.) DOI: https://doi.org/10.14337/xmllondon13.fennell01
20.Grune D., Jacobs C.J.H. Parsing as Intersection. Parsing Techniques. Monographs in Computer Science. Springer, New York, NY; 2008. p. 425-442. (In Eng.) DOI: https://doi.org/10.1007/978-0-387-68954-8_13
21.Tomita M. Generalized LR Parsing. Springer Science & Business Media; 1991. (In Eng.) DOI: https://doi.org/10.1007/978-1-4615-4034-2
22.Bedny A., Erushkina L., Kuzenkov O. Modernising educational programmes in ICT based on the Tuning methodology. Tuning Journal for Higher Education. 2014; 1(2):387-404. (In Eng.) DOI: https://doi.org/10.18543/tjhe-1(2)-2014pp387-404
23.Haas C., Hadjar A. Students’ trajectories through higher education: a review of quantitative research. Higher Education. 2020; 79(6):1099-1118. (In Eng.) DOI: https://doi.org/10.1007/s10734-019-00458-5
24.McKee S., Gauch D. Implications of Industry 4.0 on Skills Development. In: B. Panth, R. Maclean (Eds.) Anticipating and Preparing for Emerging Skills and Jobs. Education in the Asia-Pacific Region: Issues, Concerns and Prospects, vol. 55. Springer, Singapore; 2020. p. 279-288. (In Eng.) DOI: https://doi.org/10.1007/978-981-15-7018-6_34
25.Reale E. Challenges in higher education research: the use of quantitative tools in comparative analyses. Higher Education. 2014; 67(4):409-422. (In Eng.) DOI: https://doi.org/10.1007/s10734-013-9680-2
Published
2021-04-15
How to Cite
SNEGURENKO, Alexander Pavlovich et al. Multilevel Interuniversity Indicators Technology of Creation for Checking the Professional Competencies Achievement in Order to Increase Students’ Academic Mobility. Modern Information Technologies and IT-Education, [S.l.], v. 17, n. 1, p. 165-178, apr. 2021. ISSN 2411-1473. Available at: <http://sitito.cs.msu.ru/index.php/SITITO/article/view/737>. Date accessed: 16 oct. 2025. doi: https://doi.org/10.25559/SITITO.17.202101.737.
Section
Educational resources and best practices of IT Education