Information Integration Technology Helps the High Quality Development of Chinese International Education

Abstract

Abstract As China’s position in the international arena continues to rise, and its interaction with the rest of the world increases, Chinese language international education has received widespread attention and developed rapidly. Based on information fusion technology, this paper constructs a vocabulary frequency analysis model that combines Bayesian estimation and D-S evidential reasoning, specifically used to calculate the hotness value of Chinese language international education. In the in-depth analysis of the Chinese language international education field, high-frequency words reflect the core themes in teaching and learning. At the same time, centrality indicates the degree of interconnection among the research themes. In the in-depth analysis of the Chinese international Education field, high-frequency vocabulary reflects the core teaching and learning themes, and the centrality indicates the degree of interconnection among the research themes. The frequency of Chinese as a foreign language is as high as 170 times, with centrality reaching 0.33, and these high-frequency keywords constitute the cornerstone of the development of Chinese international Education in China. When analyzing the data of the foreign students coming to China, it is found that the Number of Asian students accounted for 59.29% of the total number of 274976 students by the end of the study period. By 2022, the number of colleges and universities enrolling international students in China will increase to 831, and the Chinese global education market will reach 7.56 billion yuan in 2022, showing a saturated market status. The information fusion technology adopted in this paper not only reveals the development trend of Chinese international Education, but also provides a powerful analytical tool to promote the high-quality development of this field. A powerful analyzing tool.