Construction of guidance graph in blended learning based on knowledge point extraction

In order to solve the problem of learning guidance in blended learning, this paper analyzes the online learning behavior of learners, and gives a method to build personalized learning guidance graph, which includes knowledge point extraction, knowledge point association based on FP (Frequent Pattern) Tree algorithm, and mapping of learning objectives. Taking the course of "Computer Network" as an example, this paper extracts knowledge points, establishes the relationship between knowledge points, and constructs a learning guidance graph, which can help learners improve their learning efficiency. This study provides a reference for the study of blended learning guidance from the perspective of learning graph.