The application of blended learning models in higher vocational English courses is an inevitable choice in the internet age. This study designed a blended learning model for vocational college English courses based on the iSmart platform and established a corresponding evaluation system for blended teaching in vocational college English courses. The improved G1-CRITIC method was used to determine the weights of each indicator in the evaluation system for blended teaching in vocational college English courses, and cloud theory was employed to calculate the parameters of the cloud models for each indicator. Using MATLAB software, the indicators and comprehensive cloud maps were output, resulting in the evaluation grade for the blended learning model in vocational college English courses. The comprehensive evaluation cloud of the iSmart platform-based vocational English blended teaching model proposed in this paper follows a normal distribution, with relatively dispersed cloud droplets and minimal fluctuations. When the membership degree exceeds 0.8, the cloud droplets are most concentrated, with the concentrated area corresponding to the range of the good evaluation grade, indicating that the vocational English blended teaching model proposed in this paper is at a good evaluation grade level.
