Research on mobile learning system based on Web mining

This article serves to build up a mobile learning system possessed of mining module through analysis and study of the characters, conducts, situation of mobile learners in terms of uncertainty of the time, place, and approach of mobile learning. The system, based on the course resources and mobile learning design for each team of students according to the result of hierarchical clustering, enables knowledge resource pool by means of mining association rule to get dynamic updating and prediction recommendation, which meets the need of mobile learners and effectively improves traditional mobile learning environment.