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Knowledge point ability value estimation method, system, equipment and medium

A knowledge point and ability value technology, applied in the computer field, can solve the problems of difficulty in accurately obtaining user ability value data, inefficiency, and cumbersomeness.

Active Publication Date: 2020-05-12
SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] In the existing technology, it is necessary to test each knowledge point before we can roughly know the user's ability value on this knowledge point, and the number of knowledge points is often huge, and it is inefficient to adopt this testing method yes, cumbersome
Moreover, if the knowledge points of the test are not learned by the user, the user will lack initiative when testing, and it is difficult to accurately obtain the ability value data of the user on the knowledge points that have not been learned.

Method used

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  • Knowledge point ability value estimation method, system, equipment and medium
  • Knowledge point ability value estimation method, system, equipment and medium
  • Knowledge point ability value estimation method, system, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] Knowledge point ability value estimation method, such as figure 2 shown, including the following steps:

[0056] Step 1. Extract the capability value vector V of a source knowledge point from the preset database S , ability value vector V S is an N-dimensional vector, V S =[(P s1 , θ s1 ), (P s2 , θ s2 ), (P s3 , θ s3 ),...(P sN , θ sN )]; here it is assumed that the capability value vector of a certain source knowledge point

[0057] V S =[(0.2,0.1),(0.4,0.2),(0.1,0.3),(0.2,0.4)(0.3,0.5)];

[0058] where P s1 = 0.2, θ s1 = 0.1, it means that the probability that the user has an ability value of 0.1 on the source knowledge point is 0.2;

[0059] Step 2. Calculating the transfer factor δ between the target knowledge point and the source knowledge point. The target knowledge point is a post knowledge point associated with the source knowledge point in the knowledge point map, figure 1 It is a schematic diagram of a knowledge point map, and the calculation...

Embodiment 2

[0074] The knowledge point ability value estimation system includes: data extraction unit, data collection unit and data processing unit.

[0075] The operation process of the estimation system when estimating the ability of knowledge points is as follows: here is the figure 1 The ability value estimation of the target knowledge point 3 in the shown knowledge point map is taken as an example to illustrate;

[0076] The data extraction unit extracts the capability value vector V of the source knowledge point from the preset database S , ability value vector V S is an N-dimensional vector, V S =[(P s1 , θ s1 ), (P s2 , θ s2 ), (P s3 , θ s3 ),...(P sN , θ sN )];

[0077] The data acquisition unit collects the shortest path S between the target knowledge point and the source knowledge point according to the knowledge point map, such as figure 1 As shown, the shortest path S=1 between the target knowledge point 3 and the source knowledge point in this embodiment;

[00...

Embodiment 3

[0089] The knowledge point ability value estimation device includes a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, the aforementioned embodiment 1 is implemented. method steps.

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Abstract

The invention discloses a knowledge point capability value estimation method, a knowledge point capability value estimation system, a knowledge point capability value estimation device and a medium. The method comprises the steps of extracting a capability value vector of a source knowledge point from a preset database; calculating a transfer factor between the target knowledge point and the source knowledge point; calculating a new capability value vector of the target knowledge point; updating a capability value vector of a target knowledge point in a preset database; obtaining an estimatedcapability value of the target knowledge point according to the updated capability value vector of the target knowledge point; and extracting the capability value vector of the next source knowledge point from a preset database. According to the method, the capability values of the rear knowledge points are estimated through the capability value vectors of the known knowledge points by utilizing the front-back relationship among the knowledge points in the knowledge graph, so that the capability values of the knowledge points in the knowledge graph can be quickly estimated. The accuracy of theestimated capability values on the unlearned knowledge points is high.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a method, system, equipment and medium for predicting knowledge point ability values. Background technique [0002] With the development of technology, online education has become a current and important education method, and in the online education software developed by major companies, most of them need to collect the user's ability value data of each knowledge point on the knowledge point map , and then arrange learning plans, test questions and other operations based on the ability value data. The ability value reflected by the user on the knowledge point is mainly based on the item reflection theory. [0003] Item reflection theory is a general term for a series of psychological statistical models. The goal is to determine whether the latent features and the interactive relationship between the test questions and the testee (the user's mastery can be regarded a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/901G06F16/903G06F16/36G06Q50/20
CPCG06F16/367G06F16/9024G06F16/90335G06Q50/205
Inventor 栗浩洋姜涛
Owner SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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