Application of DeepSeek in English Writing Teaching of Higher Vocational Colleges

Against the backdrop of the deep integration of artificial intelligence technology in the field of education, generative AI tools have provided an innovative path for the reform of English writing teaching in higher vocational colleges. Taking DeepSeek as the research object, this paper closely adheres to the core demands of "practicality and skill-orientation" in higher vocational English writing, and systematically explores its application value, practical models, existing problems, and optimization strategies through literature research, case study, and empirical research methods. The results show that DeepSeek can address teaching pain points through functions such as real-time feedback and batch grading, and construct a collaborative model of "AI empowerment + teacher-led + student-centered"; at the same time, it is necessary to tackle issues such as tool dependence and content homogeneity. Through scientific guidance and mechanism optimization, the in-depth integration of technology and teaching can be achieved, providing practical references for the intelligent transformation of English writing teaching in higher vocational colleges.