Wang Jing
Department of International Communication and Cooperation, Zhejiang Yuexiu University, Zhejiang, China.
Front Psychol. 2022 Jul 22;13:949611. doi: 10.3389/fpsyg.2022.949611. eCollection 2022.
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.
随着“地球村”概念的不断深入，世界各国之间的交流日益深化。这使得国家与地区之间的联系日益紧密，它们越来越相互依存、相互制约。在全球化进程中，国际化已成为高等教育发展的必然趋势。大数据是指在一定时期内其内容无法被传统软件工具捕获、管理和处理的数据集合，需要进行处理以获取所需信息。发达国家在教育国际化领域起步较早，拥有较为成熟的经验，为其他国家的发展提供了借鉴。本文旨在研究基于大数据系统的国际人才培养模式的优化设计。本文运用系统分析方法进行理论探讨，通过层次分析法建立研究生国际人才培养模式的指标体系，为高校国际教育提出突破点。国际化人才是指具有国际意识和思维、世界级知识结构、达到国际水平的视野和能力，善于在全球竞争中抓住机遇、争取主动的高层次人才。本文深入研究高校国际人才培养模式的现状，找出国际人才培养模式中的不足之处，优化国际人才培养与发展路径，为区域国际人才培养提供依据。本文的实验结果表明，20.1%的学生认为国际教育是为了适应教育发展，25.4%的学生认为主要是为了满足学生发展的需求，62.2%的学生认为高校专业缺乏国际化特色。
