This research was supported by the Beijing Union University teaching reform project “Application of Large Language Models in Teaching Chinese as a Foreign Language” (Project No. JG2025Y002).
Abstract
With the advent of the digital intelligence era, artificial intelligence (AI) technologies, represented by DeepSeek, demonstrate significant potential to enhance personalized teaching in academic settings. This enhancement is achieved through teaching data analysis, intelligent recommendations of learning content and methods, customized learning materials provided by large language models, and the gradual refinement of adaptive systems. DeepSeek possesses robust capabilities in language processing, text generation, logical reasoning, and task fine-tuning, which enable its broad applicability across educational contexts. It demonstrates distinct advantages in advancing personalized Chinese instruction for international students, effectively elevating the level of personalization across three dimensions: school administration, teacher instruction, and student learning. This paper elaborates on the integration pathways between DeepSeek and personalized teaching for international students from both teacher and student perspectives, as well as through the dual aspects of teaching processes and language skill training.
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How to cite this paper
Exploring the Use of DeepSeek to Enhance Personalized Chinese Instruction for International Students
How to cite this paper: Dongqing Liu, Wenchao Qu. (2026). Exploring the Use of DeepSeek to Enhance Personalized Chinese Instruction for International Students. The Educational Review, USA, 10(1), 6-14.
DOI: http://dx.doi.org/10.26855/er.2026.01.002