HARNESSING ARTIFICIAL INTELLIGENCE TO FACILITATE CHINESE LANGUAGE ACQUISITION FOR NON-NATIVE CHILDREN

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-20
DOI
https://doi.org/10.5281/zenodo.19003824
Primary Topic
Child Development and Digital Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

HARNESSING ARTIFICIAL INTELLIGENCE TO FACILITATE CHINESE LANGUAGE ACQUISITION FOR NON-NATIVE CHILDREN

Jia Hao Zhang
Zenodo (CERN European Organization for Nuclear Research)
Child Development and Digital Technology
article

HARNESSING ARTIFICIAL INTELLIGENCE TO FACILITATE CHINESE LANGUAGE ACQUISITION FOR NON-NATIVE CHILDREN

Jia Hao Zhang
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Suzhou Polytechnic Institute of Agriculture (CN)
Quality Education
Openalex Percentile: Top 7%
Child Development and Digital Technology
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HARNESSING ARTIFICIAL INTELLIGENCE TO FACILITATE CHINESE LANGUAGE ACQUISITION FOR NON-NATIVE CHILDREN — Jia Hao Zhang · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS