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Cognitive diagnosis method and system

A diagnostic method and relational technology, applied in the field of cognitive diagnostic methods and systems, can solve problems such as insufficient model definition, poor model interpretability, and cognitive diagnostic models lacking the weak points of subjects and the ability to accurately judge skill points.

Inactive Publication Date: 2018-01-09
HUAZHONG NORMAL UNIV
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the definition of the model in the prior art is not rigorous enough. From the point of view of the function, the probability of the subject answering the item correctly does not increase with the number of attributes that the subject masters; and the interpretability of the model Poor, ideal response latent variable η ij It is unreasonable to take continuous values
at 0ij When ij Taking continuous values ​​also increases the computational complexity of parameter estimation
[0004] To sum up, the current cognitive diagnosis model lacks the ability to accurately judge the weak points and skill points of the subjects

Method used

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Experimental program
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Embodiment 1

[0084] figure 1 It is a flow chart of the cognitive diagnosis method provided by the embodiment of the present invention.

[0085] refer to figure 1 , cognitive diagnostic methods include:

[0086] Step S101, acquiring cognitive attribute information and subject response information;

[0087] Step S102, determining the item attribute relationship Q matrix according to the cognitive attribute information, and determining the subject response X matrix according to the subject response information;

[0088] Step S103, constructing an OR-DINA model, the model includes error parameters and guess parameters;

[0089] Step S104, using the expectation maximization EM algorithm to estimate the error parameter and the guessing parameter;

[0090] Step S105, calculating the subject's knowledge state according to the estimated error parameters and guessing parameters.

[0091] Specifically, in order to achieve the technical purpose, the embodiment of the present invention proposes th...

Embodiment 2

[0187] Figure 4 It is a schematic structural diagram of the cognitive diagnosis system provided by the embodiment of the present invention.

[0188] refer to Figure 4 , the cognitive diagnosis system includes:

[0189] An acquisition unit 10, configured to acquire cognitive attribute information and subject response information;

[0190] The determining unit 20 is used to determine the item attribute relationship Q matrix according to the cognitive attribute information, and determine the subject's response X matrix according to the subject's response information;

[0191] The construction unit 30 is used to construct the OR-DINA model, and the model includes error parameters and guess parameters;

[0192] The first calculation unit 40 is used to estimate the error parameter and the guessing parameter by using the expectation maximization EM algorithm;

[0193] The second calculating unit 50 is used for calculating the subject's knowledge state according to the error par...

Embodiment 3

[0211] Let's take Chapter 4 "Algebraic Formula" in Grade 7 Mathematics Volume 1 as an example to establish a cognitive attribute framework. First, determine the five cognitive attributes, and present the attributes that need to be mastered in the form of a table, as shown in Table 1:

[0212] Table 1 Examples of Cognitive Attributes

[0213]

[0214] Then establish a hierarchical relationship for the attributes, such as Figure 5 shown.

[0215] Build an adjacency matrix based on hierarchical relationships.

[0216] The adjacency matrix (A matrix) reflects the direct relationship between attributes and is represented by a k*k 0-1 matrix. If there is a direct relationship between attributes, the corresponding element in the adjacency matrix is ​​represented by "1"; if there is no direct relationship between attributes (including indirect relationship and self-relationship), the corresponding element in the adjacency matrix is ​​represented by "0". The attribute adjacency...

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Abstract

The invention provides a cognitive diagnosis method and system. The method comprises the following steps of: obtaining cognitive attribute information and reaction information of a subject; determining a project attribute relationship Q matrix according to the cognitive attribute information and determining a subject reaction X matrix according to the reaction information of the subject; constructing an OR-DINA model, wherein the model comprises an error parameter and a guess parameter; estimating the error parameter and the guess parameter by utilizing an expectation maximization EM algorithm; and calculating a knowledge state of the subject according to the estimated error parameter and guess parameter. According to the cognitive diagnosis method and system provided by the invention, anoptimized cognitive diagnosis model is disclosed, so that the probability of correctly answering projects can be increased along with the increase of attribute quantity tested by projects grasped by the subject, and weak knowledge points and skill point of the subject can be accurately diagnosed.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a cognitive diagnosis method and system. Background technique [0002] The traditional test only uses the total score of the test as the evaluation index, which seems too general and general. Now people not only require the test to be evaluated at the level of the total score, but also hope to go deep into the internal cognitive processing level of the testee. [0003] Relatively speaking, the prior art divides the subjects into two categories on each item: the mastered class and the unmastered class. The mastery category is the set of subjects who have mastered all the attributes investigated by the project; other subjects are classified into the non-mastery category, and these subjects may not have mastered any attributes, or may have mastered some attributes. Such a classification ignores the difference in the amount of attributes mastered by the subjects in the...

Claims

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Application Information

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IPC IPC(8): G06F17/18
Inventor 黄涛刘三女牙杨宗凯杨华利耿晶张浩
Owner HUAZHONG NORMAL UNIV
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