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Research on the Design and Practice of AI-Enabled Hierarchical Homework for Senior High School English Writing under the Background of "Double Reduction"

Author(s)

Lili Zhang*

Affiliation(s)

The Middle School Attached to Ningxia University, Yinchuan, Ningxia, China *Corresponding Author

Abstract

This study aims to explore effective paths for designing and practicing AI-enabled hierarchical homework for senior high school English writing under the background of the "Double Reduction" policy, so as to solve the problems existing in current senior high school English writing homework, such as homogenization, heavy burden, and lack of pertinence, and improve the quality of homework and students' writing ability. The research adopts literature research method, action research method and data analysis method. Firstly, through literature review, it clarifies the requirements of the "Double Reduction" policy, the application status of AI technology in education, and the theoretical basis of hierarchical homework design. Then, combined with the actual situation of senior high school English writing teaching, it designs hierarchical homework objectives, contents and evaluation systems based on AI technology, and carries out a one-semester practice in selected senior high school classes. During the period, through classroom observation, homework analysis, student interviews and score data collection, the homework design scheme is dynamically adjusted, and finally the practice data is statistically analyzed. The study finds that AI-enabled hierarchical homework for senior high school English writing can effectively reduce students' homework burden, improve homework completion and pertinence, and promote the improvement of writing ability of students at different levels, providing practical reference for the reform of senior high school English writing homework under the background of "Double Reduction".

Keywords

Double Reduction; AI Empowerment; Senior High School English Writing; Hierarchical Homework; Homework Design

References

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