Application of association rule mining algorithm in the design of information-based teaching management system

The design and realization of a computer aided teaching management system based on the features of computer aided learning is presented. On the basis of the above analysis, we present an education management system which combines the Rule Mining Algorithm. Using the association rule discovery method, we can get useful information from large data sets. Therefore, the information acquired by the regulations can be used for the management of college information resources. The method is used to support the Kwalliso teaching method, using database driven management to improve teaching procedures. The system's effectiveness is evaluated using classroom surveys and customer interactions. Experiments were conducted on an IT platform in one of the colleges, which proved to be successful in providing easy access to classes, highly compatible with all kinds of web browsers and OS.