Design of Higher Vocational Public English Teaching Platform Based on Genetic Algorithm

The role of platform design in higher vocational public English is very important, but there is a problem of poor compatibility. The traditional system development method cannot solve the design problems such as course selection and answering questions in the higher vocational public English platform, and the compatibility is relatively low. Therefore, this paper proposes a genetic algorithm to build a higher vocational public English teaching platform. First of all, SaaS software is used to synthesize the course content, and the content of higher vocational courses is selected according to the requirements of public English. Realize the pre-processing of higher vocational public English teaching data. Then, genetic algorithms are used to form an English teaching collection and conduct in-depth mining of English content. MATLAB simulation shows that under higher vocational public English requirements, the optimization degree and stability of the English teaching platform by genetic algorithms are better than those of traditional system development methods.