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  • 标题:Construction of the Cross-Cultural Interaction Model for International Students Based on Big Data Analysis
  • 本地全文:下载
  • 作者:Zhisong Wang ; Shuhong Gao
  • 期刊名称:Scientific Programming
  • 印刷版ISSN:1058-9244
  • 出版年度:2022
  • 卷号:2022
  • DOI:10.1155/2022/3133872
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Culture is an important feature that distinguishes human beings from animals. Human beings have created and developed various cultures and influenced people’s psychology and behavior in different social forms. With the continuous improvement of China’s international influence and cultural soft power, the number of foreign students studying in China is increasing year by year. In this paper, data mining is carried out on the data of international students, and the cross-cultural interaction model of international students is constructed. According to the characteristics of the research object, this paper explores the influence of cultural novelty and psychological capital on its cross-cultural adaptation in order to provide theoretical basis for the improvement of cross-cultural adaptation. It also promotes the better development of international students and the improvement of international exchange management in colleges and universities by providing some ideas for mental health education and management of international students. The importance of cultural study for international students in China is related not only to the development and improvement of foreign students’ cognitive level of target culture, but also to the external communication of national cultural image.
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