Abstract
This paper proposes an AI-based English writing quality assessment model and its application in English writing teaching. By analyzing and training a large number of English writing samples, a model capable of evaluating English writing quality is constructed. The model comprehensively considers features such as text expression, grammar structures, and logical arguments. In its application, the model can automatically evaluate students’ English writing and provide corresponding scores and suggestions. Experimental results show that the model has high accuracy and practicality, effectively improving the quality and efficacy of English writing teaching. Copyright © 2024 Copyright held by the owner/author(s).
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 5th International Conference on Computer Information and Big Data Applications, CIBDA 2024 |
| Place of Publication | New York, United States |
| Publisher | Association for Computing Machinery |
| Pages | 809-813 |
| ISBN (Electronic) | 9798400718106 |
| DOIs | |
| Publication status | Published - Jul 2024 |
Keywords
- Artificial intelligence
- English writing
- Automatic assessment
- Teaching applications
- Language processing
- PG student publication
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