Construction method of personalized learning feature model based on knowledge graph

A technology of knowledge graph and feature model, which is applied in the field of construction of personalized learning feature model, to achieve the effect of improving teaching effect and learning efficiency

Inactive Publication Date: 2019-07-19
XUZHOU NORMAL UNIVERSITY
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Problems solved by technology

[0009] However, the above-mentioned methods of analyzing students' personalized cognition based...

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  • Construction method of personalized learning feature model based on knowledge graph
  • Construction method of personalized learning feature model based on knowledge graph
  • Construction method of personalized learning feature model based on knowledge graph

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[0032] A construction method of a personalized learning feature model based on knowledge graphs. During the construction of knowledge graphs, two types of entities are mainly targeted: knowledge points and learning resources. The relationship between knowledge points mainly focuses on the sequence of learning; the relationship between learning resources and knowledge points mainly focuses on their "belonging" relationship; the relationship between learning resources mainly focuses on their hierarchical relationship. For the convenience of discussion, we call the space composed of knowledge points and their relationships knowledge network space; the space composed of learning resources and their relationships is called learning resource space.

[0033] A directed acyclic graph is used to represent the knowledge network space, such as figure 1 shown. Each node in the graph represents a knowledge point. There is a predecessor-sequence relationship between knowledge points, whic...

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Abstract

A construction method of a personalized learning feature model based on a knowledge graph comprises the steps: constructing a course-oriented knowledge graph, wherein entities correspond to knowledgepoints and learning resources; describing a relationship between knowledge point entities by adopting a directed acyclic graph; describing and learning a relationship between resource entities by utilizing a Bloom cognitive hierarchy; constructing a student personalized cognitive model, and adopting transfer learning to solve the problem of scarcity of personalized information of a single student;adopting active learning to solve the value evaluation problem of the selected data; and constructing a dynamically evolved student personalized cognitive model by utilizing a Markov chain theory. The invention discloses a construction method of a personalized learning feature model based on a knowledge graph. By comprehensively utilizing the knowledge graph, the graph theory, the Markov chain, the Bloom cognitive hierarchy theory and other methods, the personalized learning characteristics of the students are effectively positioned, the accuracy of positioning the personalized characteristics of the students is improved, and therefore quantitative decision support is provided for improving the learning efficiency and the teaching effect.

Description

technical field [0001] The present invention relates to the field of computer and education technology, and in particular to a method for constructing a personalized learning feature model based on a knowledge graph. Background technique [0002] Personalized features are the basis of personalized learning and an important basis for improving teaching efficiency. The methods of constructing student models based on personalized learning characteristics mainly include: modeling methods based on knowledge tracking, modeling methods based on cognitive diagnosis, and modeling methods based on machine learning. [0003] The modeling method based on Knowledge Tracing (KT) was originally proposed by Corbett and Anderson. They regard students' mastery of knowledge points as hidden variables, and infer the probability distribution of hidden variables based on the correct and wrong results of students' answers to exercises. . The advantage of the KT model is that it can model the ind...

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Application Information

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IPC IPC(8): G06F16/36G06Q50/20
CPCG06F16/367G06Q50/205
Inventor 郝国生
Owner XUZHOU NORMAL UNIVERSITY
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