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A Cognitive Diagnosis Method Oriented to Students' Cognitive Process

A diagnostic method and student's technology, applied in data processing applications, instruments, other database retrieval, etc., can solve the problem that the model cannot fully represent the different granularity of knowledge points, and achieve the effect of alleviating the sparse problem and reducing the space complexity.

Active Publication Date: 2021-06-29
HEFEI UNIV OF TECH
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AI Technical Summary

Problems solved by technology

At present, the DINA model based on the knowledge point correlation matrix of test questions is the mainstream cognitive diagnosis model. However, the existing methods based on the knowledge point correlation matrix of test questions lead to models that cannot fully represent the different granularities of knowledge points.

Method used

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  • A Cognitive Diagnosis Method Oriented to Students' Cognitive Process
  • A Cognitive Diagnosis Method Oriented to Students' Cognitive Process
  • A Cognitive Diagnosis Method Oriented to Students' Cognitive Process

Examples

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Embodiment Construction

[0052] In this embodiment, a cognitive diagnosis method oriented to the cognitive process of students is as follows: first, build a multi-granularity representation model of knowledge points and exercises based on the knowledge graph method; The academic state representation model; thirdly, according to the cognitive process of the students, the multi-granularity cognitive diagnosis analysis is carried out for the students. Algorithm flow chart such as figure 1 shown. Specifically, proceed as follows:

[0053] (1) Build a multi-granularity representation model for knowledge points and exercises:

[0054] The knowledge map method is used to represent the relationship between knowledge points and the relationship between exercises and knowledge points. Such as figure 2 As shown, there are three types of nodes in the knowledge graph, namely knowledge point nodes, exercise nodes and student nodes; edges represent the relationship between nodes.

[0055] (1.1), set the number...

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Abstract

The invention discloses a cognitive diagnosis method oriented to the cognitive process of students, comprising the following steps: constructing a multi-granularity representation model of knowledge points and exercises, constructing an academic state representation model of student nodes, and cognitive diagnosis analysis of student nodes. The present invention can use the knowledge map method to represent the academic status of the students in multiple granularities, so as to analyze the students' mastery of the corresponding knowledge points according to the students' answering conditions according to the different cognitive processes of the students.

Description

technical field [0001] The invention relates to the field of educational data mining, in particular to a multi-granularity cognitive diagnosis method oriented to the cognitive process of students. Background technique [0002] With the development of open educational resource platforms such as MOOCs, the promotion of "Internet + Education" has received great attention and attention at the national level. Educational researchers quantitatively evaluate students' individual differences and cognitive levels through cognitive diagnosis. There are massive learning data of students on the Internet, and the knowledge points involved in most topics present different levels of granularity. In the process of students' cognition, students have different requirements for the level of granularity of the knowledge points they have mastered at different learning stages. [0003] Therefore, by analyzing real-time learning data, it is of great significance to track students' learning statu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/20G06F16/901
CPCG06Q50/205
Inventor 胡学钢刘菲卜晨阳吴共庆
Owner HEFEI UNIV OF TECH
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