Optimizing International Chinese Education Personalized 
Teaching Strategies with the Use of Artificial Intelligence 
Technology

Cheng; Huijie Sun; Guanda Wu; Jiayuan Guo

doi:10.70711/neet.v3i1.6384

Optimizing International Chinese Education Personalized Teaching Strategies with the Use of Artificial Intelligence Technology

Abstract

With the widespread spread of Chinese globally, the field of international Chinese education is experiencing a revolution. The integration of artificial intelligence technology has opened up new possibilities for meeting the personalized learning needs of learners. This study
closely follows the trend of artificial intelligence applications in the education industry both domestically and internationally, delving deeply
into its immense potential in international Chinese education. The research objective is clear: to implement personalized teaching strategies
for international students from various countries, such as Bangladesh, Kyrgyzstan, and others, by utilizing artificial intelligence technology.
This includes customized learning curricula, intelligent teaching platforms, and empirical research. Through these measures, the study aims to
significantly improve students learning outcomes, strengthen cultural exchanges, and contribute innovative solutions to the field of international Chinese education.

Keywords

Artificial Intelligence Assisted Teaching; International Chinese Education Personalization; Empirical Research Optimization of Teaching Strategies

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DOI: http://dx.doi.org/10.70711/neet.v3i1.6384

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