Personalized Learning Path Recommendation Strategy Based on Subject Knowledge Graph
In order to solve the problems of"cognitive overload"and"learning trek"brought by mass learning resources,aiming at the learner's personalized features and learning needs and considering the logical relationship between knowledge points,this paper integrates the subject knowledge graph into the learning path recommendation model.Firstly,a subject knowledge graph is constructed,followed by knowledge point path planning based on learner cognitive characteristics.Finally,the related resources are sorted and filtered based on knowledge point sequences and learner models to obtain a sequence set of learning resources.The experimental results show that the proposed method has good recommendation effectiveness compared to existing classical models.The research results of this paper provide important references for the theoretical research and technical implementation of personalized learning path recommendation in the field of subject education.
万方数据
维普
