Author(s)

Yue Li ¹, Shiwei Li ²

Affiliation(s)

¹ East China University of Technology, Nanchang, 330013, Jiangxi, China
² Chongqing Institute of Foreign Studies, Chongqing, 401420, China

Corresponding Author

Shiwei Li

ABSTRACT

With the further development of China's economy and the increasing demand of foreign students to come to China, the issue of cross-cultural adaptation of international students in China should also be more widely concerned and studied. This study mainly discusses the extraction of cultural adaptation rules for Chinese as a foreign language based on artificial intelligence and big data algorithms. In the field of education, with the development of educational informatization, a large amount of data is being generated all the time in the teaching process. Big data provides a method for scientific decision-making based on data for teaching, which will have a profound impact on education and teaching. This paper analyzes and studies the cross-cultural adaptation of international students in China from five dimensions: social adaptability, psychological adaptability, campus adaptability, language adaptability and religious adaptability. This research uses the decision tree method to classify and predict the cross-cultural adaptability of international students in China, and compares the decision tree research method with the conclusion of the traditional regression Formula. The purpose of this paper is to compare the advantages and disadvantages of the two methods in classification efficiency, and the effective use of decision tree method in psychometric data. In addition, the decision tree method can generate understandable rules, which are close to people's cognition and representation of things in the real world, which is more conducive to the application in practical work. During the research process, the overall average score of social and cultural adaptation of international students in China was 2.7660. This research will help to better understand the problems of cross-cultural adaptation of international students in China, reduce the problems caused by cross-cultural students in China, and better adapt to the Chinese environment.

KEYWORDS

Artificial Intelligence, Big Data Algorithm, Foreign Chinese Culture, Rule Extraction

CITE THIS PAPER

Yue Li, Shiwei Li. The Extraction of Cultural Adaptability Rules for Chinese as a Foreign Language Based on Artificial Intelligence and Big Data Algorithm. Lecture Notes on Language and Literature (2026). Vol. 9, No.1, 33-42. DOI: http://dx.doi.org/10.23977/langl.2026.090105.

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