Author(s)

Tao Lin

Corresponding Author

Tao Lin

Abstract

With the continuous deepening of education informatization, the social integration ideological education and of undergraduates have become one of the research focuses. This also places higher demands on the core component of the personalized learning and support service system-the learner model. A multi-level and multi-dimension personalized learner model was designed to solve the problems which exists in the existing learner model of online education to study role of data mining, learning analysis and other technologies in implementing a personalized learner model of online education. A social network information dissemination model based on relative weights of users is proposed, and the propagation path and propagation process in the network are analyzed, and the impact of different paths on information dissemination is discussed. Based on the above foundations, it provides the decision-making basis for political education and social integration research support services for undergraduates in an online education environment, thereby effectively enhancing the online education effectiveness.

Keywords

Ideological education, Network Education, Social Integration