Design and Implementation of Web-based Autonomous Learning Support Platform for Forestry College English

Abstract

The implementation of forestry English teaching needs to optimize the integration of network
technology resources and corpus resources, and fully tap the potential resources of mutual
support between teachers and students. Web technology based on association analysis can help
to mine potential network technology resources. Based on this, this paper proposes a web
College English Resource Integration System Based on constrained clustering algorithm. In
order to realize the system, the use cases of the system are analyzed. Based on the relevant
learning theories and the principles of design and development, combined with the
characteristics and actual needs of College English, this paper puts forward the overall
framework of Web-based College English autonomous learning platform, and designs and
develops the function and database in detail. In order to improve the accuracy of
recommendation, this paper uses constrained clustering algorithm to complete the integration of
English multimedia teaching resources. The experimental results show that the system can
improve the accuracy of recommendation matching and the integration efficiency of English
multimedia teaching resources.