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Artificial Intelligence Empowers In-depth Transformation of English Classroom in Vocational Education

Author(s)

Qingzhu Cao*

Affiliation(s)

Yixing Higher Vocational School, Wuxi, Jiangsu, China *Corresponding Author

Abstract

Against the background of deep integration of “Artificial Intelligence + Education”, aiming at the problems in secondary vocational English classrooms such as crude learning situation analysis, homogenized resources and insufficient personalization, this study takes the lesson New Technologies in Everyday Life as the carrier to explore the full-process application of AI technology in pre-class intelligent diagnosis, in-class interactive teaching and after-class personalized feedback. By constructing a closed-loop teaching integrating the Reading Circle model and AI technology, it breaks students’ bottleneck in expressing new technologies in English. Practical data show that the error rate of students’ use of vocabulary about new technologies in the experimental class decreased by 32%, and the completion quality of the task of introducing Fuxing Hao increased by 45%. It provides a replicable practical paradigm for the intelligent transformation of vocational education classrooms.

Keywords

Artificial Intelligence; Vocational Education; English Teaching; Classroom Transformation; Reading Circle Model

References

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