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Capability level evaluation method, device and equipment and storage medium

A technology of ability and level, applied in the direction of instruments, data processing applications, resources, etc., can solve the problems of large deviation between the estimated ability level and the actual level, inability to optimize adjustment, poor flexibility, etc., and achieve the effect of accurate ability level assessment

Pending Publication Date: 2020-04-24
北京如布科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing ability level assessment process relies on the scales issued by experts. Due to the uneven level of experts who issue the scales, it is easy to have a large deviation between the assessed ability level and the actual level, which affects the accuracy of the ability assessment results. The corresponding scoring rules are fixed, and cannot be optimized and adjusted according to the actual situation during the ability level assessment process, and the flexibility is poor

Method used

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  • Capability level evaluation method, device and equipment and storage medium
  • Capability level evaluation method, device and equipment and storage medium
  • Capability level evaluation method, device and equipment and storage medium

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Experimental program
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Embodiment 1

[0030] figure 1 It is a flow chart of an ability level evaluation method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where the ability level of the object to be evaluated is evaluated based on two evaluation models. The method can be provided by the embodiment of the present invention The capability level assessment device or equipment can be implemented, and the device can be implemented in the form of hardware and / or software. The method specifically includes:

[0031] S101. Determine an evaluation topic for an object to be evaluated.

[0032] Wherein, the object to be evaluated may be a user who needs to assess the ability level, and the ability level assessment requirement may be the ability level to evaluate a certain skill of the user, for example, it may be the ability level to evaluate the user's English proficiency, or it may be to evaluate the ability level of a certain skill of the user. On the one hand, the ab...

Embodiment 2

[0046] figure 2 Embodiment 2 of the present invention provides a flow chart of a capability level evaluation method. The method is further optimized on the basis of the above embodiments, and specifically provides an introduction on how to construct the first evaluation model and the second evaluation model. Such as figure 2 As shown, the method includes:

[0047] S201, constructing a model where the input is capability parameters, the model parameters are attribute information of evaluation items, and the model output is a first evaluation model of correct answer probability of evaluation items.

[0048] Optionally, the model input of the first evaluation model constructed in the embodiment of the present invention is the ability parameter; the model parameter of the first evaluation model is the attribute information of the evaluation item, and the model output of the first evaluation model is the correct answer probability of the evaluation item. The first evaluation mo...

no. 3 example

[0063] image 3 Embodiment 3 of the present invention provides a flow chart of an ability level assessment method. This method is further optimized on the basis of the above-mentioned embodiments, and specifically gives how to perform the first assessment model and the second assessment according to the actual answering situation. An introduction to cross-iterative training of models. Such as image 3 As shown, the method includes:

[0064] S301. The input of the model construction is the ability parameter, the model parameter is the attribute information of the evaluation item, and the model output is the first evaluation model of the correct answer probability of the evaluation item.

[0065] S302, building a model whose input is the attribute information of the evaluation item, the model parameter is the ability parameter, and the model output is the second evaluation model of the correct answer probability of the evaluation item.

[0066] S303. Determine an evaluation t...

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Abstract

The embodiment of the invention discloses a capability level evaluation method and device, equipment and a storage medium. The method comprises the steps of determining evaluation questions for a to-be-evaluated object; obtaining the actual answering situation of the to-be-evaluated object to the evaluation question; performing cross iteration training on a first evaluation model and a second evaluation model according to the actual answering situation; wherein model outputs of the first evaluation model and the second evaluation model are the same, and model inputs and model parameters are exchanged; and determining the capability level of the to-be-evaluated object according to a training result. According to the technical scheme provided by the embodiment of the invention, in a capability evaluation process, the method does not need to depend on a scale provided by an expert, the accuracy upper limit values of the prediction capabilities of the two evaluation models are continuouslyimproved through cross iterative training of the two evaluation models, capability level evaluation is flexibly and more accurately carried out on the to-be-evaluated object, and a new thought is provided for capability level evaluation.

Description

technical field [0001] The embodiments of the present invention relate to the field of computer technology, and in particular, to a capability level assessment method, device, equipment and storage medium. Background technique [0002] Ability level is an evaluation standard for evaluating a person's certain skill or mental health status. At present, when evaluating a person's ability level of a certain skill or mental state in the existing technology, it is mainly measured by a scale issued by an expert. The specific , the experts will give the specific scoring rules for the assessment questions based on their own experience and knowledge reserves, and then calculate the target object’s answer score according to the scoring rules, and map the scores to the abilities specified in the scoring rules Level range, and then evaluate the ability level of the target object. [0003] However, the existing ability level assessment process relies on the scales issued by experts. Due ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06
CPCG06Q10/06393G06Q10/067
Inventor 吴开宇钟为堃
Owner 北京如布科技有限公司