Research on the Application of Intelligent Writing Teaching System Based on Computer Vision and Natural Language Processing in Higher Vocational English

In the context of vocational English teaching, writing skills are crucial for students' professional communication capabilities. However, traditional teaching methods often face challenges such as delayed feedback and insufficient personalization. With the development of artificial intelligence technologies, the integration of computer vision (CV) and natural language processing (NLP) into writing education provides a novel solution to these issues. This study explores the application of a CV- and NLP-based intelligent writing assistance system in vocational English writing education. The system enhances grammar correction, semantic understanding, and automated feedback, significantly improving students' writing performance while reducing teachers' workload. An experimental evaluation demonstrated that the system effectively improved writing accuracy, logical clarity, and overall learning efficiency. The findings indicate that AI-driven educational tools have great potential in transforming traditional language teaching practices.