Journal of Jishou University(Natural Sciences Edition)

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Personalized Learning Resource Recommendation Based on Knowledge State

ZHAI Yu,XU Meng,HUANG Bin   

  1. (1.School of Big Data and Information Engineering,College of Humanities & Sciences,Guizhou Minzu University,Guiyang 550001,China;2.School of Big Data and Computer Science,Guizhou Normal University,Guiyang 550001,China)
  • Online:2019-05-25 Published:2019-06-04


The existing learning resource recommendation can not offer personalized resources according to the individual learning proficiencies.For that disadvantage,a personalized learning resource recommendation method based on knowledge state is proposed.Firstly,the knowledge graph is constructed according to the relationship between knowledge points.Then,according to the learner's knowledge state,the knowledge point vector to be learned is generated.Finally,the similarity iterative algorithm is designed to match the learning resources that are most suitable for the learner.The experimental results show that the method has good recommendation effect and performance.

Key words: personalized learning, knowledge state, learning resource recommendation, knowledge graph

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