A Study on the Innovation of Effective Mode of College English Listening Teaching Based on Swarm Intelligence Algorithm Computer Model

With the development of economy and the progress of science and technology, the reform of educational informatization is deepening. The development of artificial intelligence technology and the application of its products have brought important development opportunities for college English education and promoted the reform and transformation of English teaching. In view of the relatively weak English listening skills of college students in China, this study puts forward the innovation of effective English listening teaching mode in colleges and universities based on swarm intelligence algorithm, and develops a new efficient itemset mining (HUIM) algorithm-Huim-SPSO. Inspired by nature, the algorithm has the advantages of self-organization and adaptive iterative updating by simulating individual or group behavior, combining heuristic rules and random factors to traverse the search space. The research aims at improving students' listening skills and promoting the innovation of English teaching methods.