Application and Effectiveness Evaluation of Big Data Technology in International Students’ Chinese Language Learning as a Foreign Language

Abstract This paper first explores the use of big data technology in international students’ learning of Chinese as a foreign language, and constructs an international education model of Chinese as a foreign language based on big data technology. Then, a regression analysis model was used to study the satisfaction of international students with the big data Chinese learning model and the changes in Chinese language scores before and after the students’ learning, and to examine the psychological distance factor of international students and the influence of the psychological distance factor on the Chinese language learning effect under this learning model. The study shows that the overall satisfaction of international students with the big data Chinese learning mode is 3.73, and the main distribution of Chinese language scores of international students after big data teaching has increased from 60-80 to 80-100. This study promotes the development and innovation of the teaching content and teaching mode of Chinese as a foreign language, and provides a reference for the integration and development of Chinese as a foreign language education with modern technology.