Research on the Intelligent Evaluation Method of Integrating Teaching Quality of “Post Course Competition Certificate” in Higher Vocational English

In recent years, the reform of quality education in China has gradually deepened, and more and more vocational colleges are carrying out the reform of teaching mode of “post course certificate contest” in response to the national call for educational reform. The implementation it can significantly enhance students’ language proficiency through increased opportunities for practical language practice. This paper designs an intelligent evaluation method for English teaching quality in vocational colleges. Implement the preprocessing of higher vocational teaching data, and use the frequent item set mining algorithm based on transaction compression to implement the mining of English “post course match certificate” fusion teaching data. Design selection principles, design the indicators of the Rongtong teaching quality intelligent evaluation system according to the mining data, and construct the Rongtong teaching quality intelligent evaluation system. Based on fuzzy analytic hierarchy process and fuzzy comprehensive evaluation method, a fuzzy consistency judgment matrix is constructed to realize intelligent evaluation of teaching quality. The test results show that the evaluation accuracy of this method exceeds 96%.