AI-powered Language Learning: Empowering Non-Native Children to Master Chinese

Zengxian Mo

Journal of Linguistics & Cultural Studies, 2025, vol. 2, issue 1, 24-33

Abstract: As the demand for Chinese language learning grows, especially among non-native children, Artificial Intelligence (AI) has emerged as a transformative tool to address the challenges associated with learning Chinese. This paper explores how AI technologies, such as speech recognition, personalized learning algorithms, and cultural immersion tools, help non-native children overcome key linguistic obstacles, including tone pronunciation, character writing, and grammar acquisition. AI not only makes the learning process more interactive and tailored but also integrates cultural context to deepen learners' understanding of the language. Additionally, the paper examines the challenges of implementing AI in global education systems, such as technological disparities and cultural diversity, and envisions the future of AI in language education. The potential for AI to make language learning more accessible, engaging, and effective is significant, contributing to greater cross-cultural understanding and communication.

Keywords: Artificial Intelligence (AI); Chinese language learning; non-native children; speech recognition; personalized learning; cultural immersion (search for similar items in EconPapers)
Date: 2025
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