Research Article
Design of Higher Vocational Public English Teaching Platform Based on Genetic Algorithm
@INPROCEEDINGS{10.1007/978-3-031-63130-6_32, author={Min Xiang and Dan Liang and Zhang Rong and Suofei Xie}, title={Design of Higher Vocational Public English Teaching Platform Based on Genetic Algorithm}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Third EAI International Conference, BigIoT-EDU 2023, August 29-31, 2023, Liuzhou, China, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2024}, month={7}, keywords={High occupation Public English Genetic algorithms Teaching platform}, doi={10.1007/978-3-031-63130-6_32} }- Min Xiang
Dan Liang
Zhang Rong
Suofei Xie
Year: 2024
Design of Higher Vocational Public English Teaching Platform Based on Genetic Algorithm
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-63130-6_32
Abstract
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.
