The Construction and Practice of AI-Supported Contextualized Teaching in Chinese Language Education

The incorporation of Artificial Intelligence (AI) into education marks a major shift and presents new methods for making improvements on learning. This paper looks into the building and practical application of an AI-powered contextualized education model, targeted specially for Chinese language teaching. Contextual teaching that stresses on learning within actual situations is regarded as a great way to teach for decades, but still it encounters problems regarding the limited resources, lack of dynamic interactivity, and personalization at large scale. This research claims that AI, such as NLP, intelligent tutoring system, machine learning adaptation and VR, will be able to solve the problem. we come up with a framework that uses AI really well to create immersive, individualized, and engaging learning situations where active learning can be encouraged. An empirical study lasting one academic semester was carried out with 120 middle school students, which were distributed into two groups: experimental and control, where the experimental group was taught by using the AI-assisted model of teaching, and the group taught with traditional methods served as the control. The data collected was from pre/post-tests, engagement surveys, in-class observations, semi-structured teacher interviews. The results showed that compared with the control group, the experimental group achieved great improvement on all aspects, especially communicative competence and cultural understanding. From the analysis of the test scores, it can be seen that there is an obvious increase in scores for the experimental group (p < 0.01). More so, students in the AI-supported environment reported higher motivations, confidences and engagements. It brings useful information and a workable guideline to teachers trying to bring AI into language courses, changing how we teach Chinese so it’s not just about moving information around but creating a fun, filled-with-context lesson that helps with all parts of language and learning to like the culture deeply.

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Publication Details

Journal
Frontiers in Humanities and Social Sciences
Published
2025-09-18
DOI
https://doi.org/10.54691/yrkydz06
Primary Topic
Educational Reforms and Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

The Construction and Practice of AI-Supported Contextualized Teaching in Chinese Language Education

Honglian Deng
Frontiers in Humanities and Social Sciences
Educational Reforms and Innovations
article

The Construction and Practice of AI-Supported Contextualized Teaching in Chinese Language Education

Honglian Deng
article en

Abstract

The incorporation of Artificial Intelligence (AI) into education marks a major shift and presents new methods for making improvements on learning. This paper looks into the building and practical application of an AI-powered contextualized education model, targeted specially for Chinese language teaching. Contextual teaching that stresses on learning within actual situations is regarded as a great way to teach for decades, but still it encounters problems regarding the limited resources, lack of dynamic interactivity, and personalization at large scale. This research claims that AI, such as NLP, intelligent tutoring system, machine learning adaptation and VR, will be able to solve the problem. we come up with a framework that uses AI really well to create immersive, individualized, and engaging learning situations where active learning can be encouraged. An empirical study lasting one academic semester was carried out with 120 middle school students, which were distributed into two groups: experimental and control, where the experimental group was taught by using the AI-assisted model of teaching, and the group taught with traditional methods served as the control. The data collected was from pre/post-tests, engagement surveys, in-class observations, semi-structured teacher interviews. The results showed that compared with the control group, the experimental group achieved great improvement on all aspects, especially communicative competence and cultural understanding. From the analysis of the test scores, it can be seen that there is an obvious increase in scores for the experimental group (p < 0.01). More so, students in the AI-supported environment reported higher motivations, confidences and engagements. It brings useful information and a workable guideline to teachers trying to bring AI into language courses, changing how we teach Chinese so it’s not just about moving information around but creating a fun, filled-with-context lesson that helps with all parts of language and learning to like the culture deeply.

Frontiers in Humanities and Social SciencesVol. 5(9)
Hubei University of Science and Technology (CN)
Openalex Percentile: Top 66%
Educational Reforms and Innovations
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