A Study on the Construction of Electronic Teaching Resources for International Students in China's National Conditions Course Based on Word Co-occurrence Network Analysis

Abstract

This study attempts to solve the problems of insufficient teaching resources and lagging material content in China's national conditions course in international Chinese education. This study selects the content of the “Outline of the Five-Year Plan for National Economic and Social Development of the People's Republic of China” as the basic analysis text. Firstly, by analyzing the high-frequency words and gradient words of the text, the word index table can be formed. Then, based on the “frequency-semantic distance” algorithm and the “node importance-semantic distance” algorithm, a word co-occurrence network with a teaching recommendation order can be constructed. At the same time, the recommended order of vocabulary teaching is established. Finally, based on the “Outline of the Five-Year Plan for National Economic and Social Development of the People's Republic of China” and the text content of the People's Daily for two years as the corpus, an electronic teaching resource library is constructed. The repository has a conditional search function. According to the index words, it can return various teaching content. It is hoped that it can provide effective supplements to the teaching materials of the Chinese national conditions course for international students. The research ideas of this research have reference value for the construction of electronic resources for teaching materials in other fields.