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Adaptive evaluation method and evaluation system for cognitive competence and use method of evaluation system

A cognitive ability and evaluation system technology, applied in data processing applications, complex mathematical operations, instruments, etc., can solve problems such as unselectable questions, long measurement time, and a lot of time and cost

Pending Publication Date: 2020-09-04
杨阳
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But its disadvantages are: (1) Due to the repeated selection of the topic with the largest information gain, most of the topics in the question bank cannot be selected, and there is a risk of leaking the question bank
(2) When the prior distribution of the subject's ability is not clear or the answering data at the beginning is too small to determine the true ability of the subject, rapid convergence will cause the measurement results to deviate from the true value
(3) There are no other auxiliary parameters to help correct the fitting direction, which may easily cause the measurement results to deviate from the true value
[0054] (1) The question-making strategy cannot be adjusted according to the ability of the respondent, and the evaluation result must be obtained after answering all the questions at one time. The measurement time is too long and the efficiency is low
[0055] (2) It cannot reflect the weight of questions of different difficulty and discrimination, so the ability gap between the subjects is unreal
[0060] (6) It takes a lot of time and cost in the early stage to collect a large number of samples for the construction of the question bank to estimate the parameters of all items in the question bank
[0061] (7) The scalability of the system is poor. Once the project parameters are estimated, they will be fixed in the subsequent tests. If the subsequent question bank needs to be updated, or the test population changes, it is necessary to redo the question bank construction steps
[0066] (1) The display form of traditional assessment tool questions is boring, rigid, lacking in innovation, and children's attention is easily distracted, which may lead to misselection, blind selection, distraction, etc., resulting in the assessment results failing to reflect the true level of ability

Method used

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  • Adaptive evaluation method and evaluation system for cognitive competence and use method of evaluation system

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Embodiment

[0207] In this embodiment, the present invention is described by taking the evaluation of reading ability as an example.

[0208] Assessment task

[0209]

[0210]

[0211] Assessment Framework

[0212] The assessment framework is detailed as follows:

[0213] Such as Figure 4 As shown, the measurement process of this system is generally divided into a double-layer space of circular nesting, and its gray part is the adaptive design optimization part, which is established in the parameter space and is the circulation flow of a single subject in a single test, t is the ordinal number of the test question. The outer layer of the gray part is the part of the Bayesian hierarchical model, which is established in the individual space of the subject, and is the circulation flow of all historical subject answer data, and n is the ordinal number of the subject.

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Abstract

The invention provides an adaptive evaluation method for cognitive competence, which is called as a hierarchical adaptive optimization project reaction theoretical model, and the method comprises thesteps of if the tested competence is at the beginning of a test, endowing the initial prior distribution of the tested competence with an initial value by a Bayesian hierarchical model; if the n-1 tested capacities are tested, and when the nth tested capacity is subjected to (t-1) times of testing and needs to be subjected to the tth time of testing, assigning the tested capacity prior distribution by posteriori distribution obtained after (t-1) times of testing; solving a candidate design for maximizing the mutual information utility of the expected utility function, and testing the tested capability by using test questions corresponding to the candidate design; calculating the distribution value of each unknown parameter in the IRT model; obtaining an observation result; calculating posterior distribution of the tested capability; judging whether the current total information amount meets a termination condition, and if the current information amount is greater than the threshold condition, ending the test to obtain an observation result; and if the current information amount does not meet the termination condition, taking the posteriori distribution of the tested characteristicsas the prior distribution of the tested characteristics in the next question test, and continuing circulation.

Description

technical field [0001] The invention relates to the fields of psychometric technology and computer technology, and its theoretical framework belongs to the fields of cognitive science, psychology and linguistics. In addition, its functional expression relates to the technical field of game animation. Background technique [0002] 1. Theoretical background [0003] Cognitive ability refers to the ability of the human brain to process, store and extract information, which is what we generally call intelligence, such as observation, memory, imagination, etc. People know the objective world and acquire all kinds of knowledge, which mainly depends on people's cognitive ability. Cognitive ability is also called "cognitive ability". Refers to the ability to study, research, understand, generalize, and analyze. From the point of view of information processing, it refers to the ability to accept, process, store and apply information. Gagne proposed three cognitive abilities in hi...

Claims

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Application Information

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IPC IPC(8): G06N7/00G06F17/18G06Q10/06G06Q50/20
CPCG06F17/18G06Q10/06393G06Q50/205G06N7/01
Inventor 杨阳
Owner 杨阳
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