Preliminary Design of E-learning Learning Resource Interaction Based on Web Data Mining

Abstract

According to the problems of low resource utilization efficiency, single learning content and lack of personalization in 
 e-learning system, a personalized e-learning system based on Web data mining is designed by applying web mining and ontology 
 technology. The system can provide more satisfying teaching methods and learning resources according to the characteristic information of learners’ knowledge structure and learning preference, and create a relatively personalized e-learning environment. 
 Experiments show that ontology technology can fully improve the mining effect, improve the management efficiency of learning 
 resource database, effectively promote students’ network learning, meet students’ personalized learning needs, and provide intelligent auxiliary means for system decision analysis.