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Research on Path Optimization of Personalized Learning in International Chinese Language Education Driven by Digital and Intelligent Technology

Author(s)

Shuanjun An, Yafei Wu*

Affiliation(s)

School of Literature, Bohai University, Jinzhou, Liaoning, China *Corresponding Author

Abstract

As a product of the deep integration of information technology and education, digital intelligence technology, characterized by data-driven operations, intelligent decision-making, and personalized services, provides a new path for the innovative development of international Chinese language education. This study explores the current application status and optimization paths of digital intelligence technology in personalized learning in international Chinese language education. By integrating multidimensional data such as students’ learning behaviors, interest preferences, and language abilities, a personalized learning path is constructed. The research shows that digital intelligence technology can not only enhance students’ intrinsic motivation and learning effectiveness but also promote their mastery of Chinese knowledge and development of cross-cultural communication skills. Using questionnaire surveys and data analysis methods, the study finds that digital intelligence technology has significant effects in improving learning efficiency and enriching learning resources, but still needs improvement in the accuracy of personalized suggestions and the development of cross-cultural functions. In the future, we should further optimize the technological path, combining adaptive recommendation and real-time feedback functions to promote the development of international Chinese language education towards intelligence and personalization.

Keywords

Digital and Intelligent Technology; International Chinese Language Education; Personalized Learning; Path Optimization; Student Development

References

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