AI-based English writing quality assessment model and its applications

Peng QIAN, Qingya HU

Research output: Chapter in Book/Report/Conference proceedingChapters

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 languageEnglish
Title of host publicationProceedings of 5th International Conference on Computer Information and Big Data Applications, CIBDA 2024
Place of PublicationNew York, United States
PublisherAssociation for Computing Machinery
Pages809-813
ISBN (Electronic)9798400718106
DOIs
Publication statusPublished - Jul 2024

Citation

Qian, P., & Hu, Q. (2024). AI-based English writing quality assessment model and its applications. In Proceedings of 5th International Conference on Computer Information and Big Data Applications, CIBDA 2024 (pp. 809-813). Association for Computing Machinery. https://doi.org/10.1145/3671151.3671293

Keywords

  • Artificial intelligence
  • English writing
  • Automatic assessment
  • Teaching applications
  • Language processing
  • PG student publication

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