Research on the Construction of English Teaching Modules Based on Computer Intelligence

Abstract

Based on the teaching information management platform and the autonomous English learning monitoring system, this paper collects information related to students' English learning for normalization and missing value supplementation. In this paper, fuzzy clustering is innovatively used to obtain the association rules between college students' English learning information, and the fuzzy clustering and connection operations are reduced by deleting and comparing strategies to improve the computing efficiency of learning effect analysis. The research method shows that the results obtained by the data mining algorithm are helpful for teachers to diagnose teaching problems and build a characteristic teaching curriculum system.