Foreign students adaptation management, assessment and forecasting algorithms and software; Advances in Computer Science Research; Vol. 72 : Information technologies in Science, Management, Social sphere and Medicine (ITSMSSM 2017)
| Parent link: | Advances in Computer Science Research Vol. 72 : Information technologies in Science, Management, Social sphere and Medicine (ITSMSSM 2017).— 2017.— [P. 375-381] |
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| 共著者: | , |
| その他の著者: | , , , |
| 要約: | Title screen 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. |
| 言語: | 英語 |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | http://dx.doi.org/10.2991/itsmssm-17.2017.78 |
| フォーマット: | MixedMaterials 電子媒体 図書の章 |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657531 |
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| 200 | 1 | |a Foreign students adaptation management, assessment and forecasting algorithms and software |f S. Romanchukov [et al.] | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: p. 380-381 (17 tit.)] | ||
| 330 | |a 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. | ||
| 461 | 1 | |0 (RuTPU)RU\TPU\network\18167 |t Advances in Computer Science Research | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\24029 |t Vol. 72 : Information technologies in Science, Management, Social sphere and Medicine (ITSMSSM 2017) |o IV International Scientific Conference, 5-8 December 2017, Tomsk, Russia |o [proceedings] |f National Research Tomsk Polytechnic University (TPU) ; eds. O. G. Berestneva [et al.] |v [P. 375-381] |d 2017 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a exchange students | |
| 610 | 1 | |a adaptation | |
| 610 | 1 | |a disadaptation | |
| 610 | 1 | |a evaluation | |
| 610 | 1 | |a prediction | |
| 610 | 1 | |a обмен | |
| 610 | 1 | |a иностранные студенты | |
| 610 | 1 | |a адаптация | |
| 610 | 1 | |a дезадаптация | |
| 610 | 1 | |a оценка | |
| 610 | 1 | |a прогнозирование | |
| 701 | 1 | |a Romanchukov |b S. |g Sergey | |
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| 701 | 1 | |a Berestneva |b O. G. |c specialist in the field of informatics and computer technology |c Professor of Tomsk Polytechnic University, Doctor of technical sciences |f 1953- |g Olga Grigorievna |3 (RuTPU)RU\TPU\pers\30927 |9 15165 | |
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