Artificial Intelligence in Lifelong Learning: Enhancing Chinese Language Instruction for Non-Native Adult Learners

With the rapid development of Artificial Intelligence (AI) technology, its application in the field of education, particularly in language learning, has become a focal point of research. This paper explores the use of AI in Chinese language instruction for non-native adult learners. By integrating theories from cognitive psychology and educational technology, the paper explains how AI enhances the learning process through personalized learning, intelligent tutoring systems (ITS), and adaptive learning systems. Furthermore, the paper examines the practical implementation details of AI technologies and presents empirical evidence on their effectiveness in improving Chinese language learning outcomes. Finally, it discusses the evaluation methods for assessing the impact of AI applications, including indicators such as academic performance, motivation, and learner engagement. This study provides theoretical support and empirical evidence for the future development of AI in adult language education.

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Publication Details

Journal
GBP Proceedings Series
Published
2025-03-13
DOI
https://doi.org/10.71222/vxzcka39
Citations
1
Primary Topic
Foreign Language Teaching Methods
Type
article
Field-Weighted Citation Impact
8.93
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article

Artificial Intelligence in Lifelong Learning: Enhancing Chinese Language Instruction for Non-Native Adult Learners

Mo Zheng
1 citations
GBP Proceedings Series
Foreign Language Teaching Methods
8.93
article

Artificial Intelligence in Lifelong Learning: Enhancing Chinese Language Instruction for Non-Native Adult Learners

Mo Zheng
article en
1 citations

Abstract

With the rapid development of Artificial Intelligence (AI) technology, its application in the field of education, particularly in language learning, has become a focal point of research. This paper explores the use of AI in Chinese language instruction for non-native adult learners. By integrating theories from cognitive psychology and educational technology, the paper explains how AI enhances the learning process through personalized learning, intelligent tutoring systems (ITS), and adaptive learning systems. Furthermore, the paper examines the practical implementation details of AI technologies and presents empirical evidence on their effectiveness in improving Chinese language learning outcomes. Finally, it discusses the evaluation methods for assessing the impact of AI applications, including indicators such as academic performance, motivation, and learner engagement. This study provides theoretical support and empirical evidence for the future development of AI in adult language education.

GBP Proceedings SeriesVol. 2
Suzhou University of Science and Technology (CN)
Openalex Percentile: Top 5%
Foreign Language Teaching Methods
8.93
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