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Practical Research on Empowering Chinese Writing Teaching in Senior Primary Schools with Artificial Intelligence
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Abstract
The deep learning and natural language processing capabilities possessed by artificial intelligence can bring new development momentum to the teaching of writing for upper primary school students. Based on the overall goal of the unit, algorithms can perform semantic analysis on text themes, emotional trends, and structural elements, and then map the analysis results to students' writing drafts to quickly capture weak links in key sentence structures, emotional landing points, and logical connections. By utilizing "intelligent perspective", teachers can quickly grasp the common problems in the class and identify each student's personalized crux, thereby generating accurate writing prompts in the pre-writing stage and ultimately driving the high-quality development of composition teaching. It can be seen that creating immersive and immersive writing scenarios is not only an auxiliary method for primary school composition teaching, but also an inevitable approach. It will promote students' perception, emotions, and thinking to connect, forming a powerful writing source, and ultimately driving primary school students' writing to transition from "experience" to "expression", formally establishing a scientific and systematic writing thinking.
References
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How to cite this paper
Practical Research on Empowering Chinese Writing Teaching in Senior Primary Schools with Artificial Intelligence
How to cite this paper: Yue Zhang. (2025). Practical Research on Empowering Chinese Writing Teaching in Senior Primary Schools with Artificial Intelligence. The Educational Review, USA, 9(6), 573-577.
DOI: http://dx.doi.org/10.26855/er.2025.06.002
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