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

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  • Mo, Zengxian

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.

Suggested Citation

  • Mo, Zengxian, 2025. "AI-powered Language Learning: Empowering Non-Native Children to Master Chinese," Journal of Linguistics & Cultural Studies, Scientific Open Access Publishing, vol. 2(1), pages 24-33.
    • Handle: RePEc:axf:jlcsaa:v:2:y:2025:i:1:p:24-33
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