Research on the interest mining and cluster grouping based on the knowledge point

These Traditional classroom teaching is difficult to satisfy students' personalized learning. With the rapid development of network technology and communication technology, virtual learning community has become an important platform for online learning, it provides an effective way for personalized learning. The main work of the thesis constructs knowledge point model which using relational model and constructs student model according to the students' interest characteristics, it uses improved k-means algorithm to analyze students' learning interest characteristics to dig out the interests of different students, and provide the advice for teaching strategies, so as to meet the demand of students' personalized learning. Ultimately we improve the teaching quality of teachers and students to learn the effect of teaching optimization purposes.