Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)

Foreign student's adaptation management, assessment and forecasting algorithms and software

Authors
Sergey Romanchukov, Oksana Fisochenko, Olga Berestneva, Konstantin Sharopin
Corresponding Author
Sergey Romanchukov
Available Online December 2017.
DOI
https://doi.org/10.2991/itsmssm-17.2017.78How to use a DOI?
Keywords
exchange students, adaptation, disadaptation, evaluation, prediction
Abstract
The modern educational system faces a number of exchange student's adaptation problems. It is necessary to determine the optimal solution for foreign student's adaptation assessment, prediction and management, to form an indicator system for adaptation process prognostic and risk reducing models. This paper is devoted to the integrated approach development of mathematical algorithms and software for monitoring, evaluating and managing the foreign student's adaptation process in the Russian universities. Methods of multivariate statistical analysis, fuzzy sets, data mining and the hierarchy analysis method were used in the study. An integrated approach to risk management was implemented to propose a criteria for the foreign student's adaptation abilities assessment (via the fuzzy sets method), and hierarchical risk model's design. The fuzzy sets method's application for the foreign student's adaptation level diagnostics in Russian universities makes it possible to successfully assess the adaptation level for any set of initial characteristics. The application of a heterogeneous sequential procedure allows to forecast the foreign student's adaptation development and disruption. The hierarchy analysis method allowed data structuring for setting decision priorities. An integrated approach for the foreign student's adaptation assessment, prediction and management was implemented. A set of methods was developed to assess the level of exchange student's individual adaptation to the university studying or its breakdown, decisive rules for the level of adaptation prediction were obtained. A decision support system has been developed for foreign student's adaptation process management.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Cite this article

TY  - CONF
AU  - Sergey Romanchukov
AU  - Oksana Fisochenko
AU  - Olga Berestneva
AU  - Konstantin Sharopin
PY  - 2017/12
DA  - 2017/12
TI  - Foreign student's adaptation management, assessment and forecasting algorithms and software
BT  - IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-17.2017.78
DO  - https://doi.org/10.2991/itsmssm-17.2017.78
ID  - Romanchukov2017/12
ER  -