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Optimization design of international talent training model based on big data system
With the deepening of the concept of a “global village,” the exchanges between countries in the world are deepening. This has led to ever-closer ties between countries and regions. They are more and more interdependent and mutually restrictive. Internationalization has become an inevitable trend and...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355548/ https://www.ncbi.nlm.nih.gov/pubmed/35936263 http://dx.doi.org/10.3389/fpsyg.2022.949611 |
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author | Wang, Jing |
author_facet | Wang, Jing |
author_sort | Wang, Jing |
collection | PubMed |
description | With the deepening of the concept of a “global village,” the exchanges between countries in the world are deepening. This has led to ever-closer ties between countries and regions. They are more and more interdependent and mutually restrictive. Internationalization has become an inevitable trend and trend in the development of higher education in the process of globalization. Big data refer to a collection of data whose content cannot be captured, managed, and processed by conventional software tools within a certain period of time, and need to be processed to obtain the required information. Developed countries have developed earlier in the field of education internationalization and have more mature experience, which provides a reference for the development of other countries. This paper aims to study the optimization design of the international talent training model based on the big data system. In this paper, the system analysis method is used for theoretical discussion. It establishes an index system of graduate students’ international talent training mode through AHP, and puts forward a breakthrough for international education in colleges and universities. Internationalized talents refer to high-level talents who have an international awareness and mind, a world-class knowledge structure, a vision and ability reaching an international level, and who are good at seizing opportunities and striving for initiative in global competition. This paper deeply studies the current situation of the international talent training model in colleges and universities, and finds out the deficiencies in the international talent training model. It also optimizes the path for the cultivation and development of international talents, which provides a basis for regional development and cultivation of international talents. The experimental results of this paper show that 20.1% of students believe that international education is to adapt to educational development, 25.4% of students believe that it is mainly to meet the needs of student development, and 62.2% of students believe that college majors lack internationalization characteristics. |
format | Online Article Text |
id | pubmed-9355548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93555482022-08-06 Optimization design of international talent training model based on big data system Wang, Jing Front Psychol Psychology With the deepening of the concept of a “global village,” the exchanges between countries in the world are deepening. This has led to ever-closer ties between countries and regions. They are more and more interdependent and mutually restrictive. Internationalization has become an inevitable trend and trend in the development of higher education in the process of globalization. Big data refer to a collection of data whose content cannot be captured, managed, and processed by conventional software tools within a certain period of time, and need to be processed to obtain the required information. Developed countries have developed earlier in the field of education internationalization and have more mature experience, which provides a reference for the development of other countries. This paper aims to study the optimization design of the international talent training model based on the big data system. In this paper, the system analysis method is used for theoretical discussion. It establishes an index system of graduate students’ international talent training mode through AHP, and puts forward a breakthrough for international education in colleges and universities. Internationalized talents refer to high-level talents who have an international awareness and mind, a world-class knowledge structure, a vision and ability reaching an international level, and who are good at seizing opportunities and striving for initiative in global competition. This paper deeply studies the current situation of the international talent training model in colleges and universities, and finds out the deficiencies in the international talent training model. It also optimizes the path for the cultivation and development of international talents, which provides a basis for regional development and cultivation of international talents. The experimental results of this paper show that 20.1% of students believe that international education is to adapt to educational development, 25.4% of students believe that it is mainly to meet the needs of student development, and 62.2% of students believe that college majors lack internationalization characteristics. Frontiers Media S.A. 2022-07-22 /pmc/articles/PMC9355548/ /pubmed/35936263 http://dx.doi.org/10.3389/fpsyg.2022.949611 Text en Copyright © 2022 Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Wang, Jing Optimization design of international talent training model based on big data system |
title | Optimization design of international talent training model based on big data system |
title_full | Optimization design of international talent training model based on big data system |
title_fullStr | Optimization design of international talent training model based on big data system |
title_full_unstemmed | Optimization design of international talent training model based on big data system |
title_short | Optimization design of international talent training model based on big data system |
title_sort | optimization design of international talent training model based on big data system |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355548/ https://www.ncbi.nlm.nih.gov/pubmed/35936263 http://dx.doi.org/10.3389/fpsyg.2022.949611 |
work_keys_str_mv | AT wangjing optimizationdesignofinternationaltalenttrainingmodelbasedonbigdatasystem |