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Associated knowledge tracking method, device and equipment

A technology of knowledge and knowledge points, applied in the field of associated knowledge tracking, can solve the problems of inability to effectively track knowledge points, difficult to accurately predict the learning situation of knowledge points, ignoring the relevance of knowledge points, etc., to achieve fast prediction results, speed up processing, Accurate effect of associative knowledge tracking model

Pending Publication Date: 2022-05-13
LANZHOU UNIVERSITY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, most knowledge tracking methods often ignore the correlation between knowledge points when predicting the knowledge mastery level of participating users, and cannot effectively track the knowledge points in the topic, and it is difficult to accurately predict the participation of users on the overall The learning situation of knowledge points

Method used

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  • Associated knowledge tracking method, device and equipment
  • Associated knowledge tracking method, device and equipment
  • Associated knowledge tracking method, device and equipment

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Embodiment Construction

[0041] The embodiments of this specification provide a method, device and equipment for tracking associated knowledge.

[0042] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described The embodiments are only some of the embodiments in this specification, not all of them. Based on the embodiments of this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.

[0043] figure 1 A schematic flow diagram of an associated knowledge tracking method provided for one or more embodiments of this specification, the process can be executed by an associated knowledge tracking platform, and the platform can be...

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Abstract

The embodiment of the invention discloses an associated knowledge tracking method, device and equipment, and the method comprises the steps: obtaining the interaction data of each answer of a user in a specified time range, the interaction data of each answer comprising the knowledge points of the answer at the corresponding time and the answer right and wrong information, the associated knowledge point set is composed of associated knowledge points of the answered knowledge points; each piece of answer interaction data is input into an associated knowledge tracking model for processing according to a corresponding moment sequence, the associated knowledge tracking model is pre-trained according to first loss and second loss, the first loss is determined according to mastery degree prediction information of a training sample on a specified knowledge point and a training label thereof, and the second loss is determined according to the mastery degree prediction information of the training sample on the specified knowledge point; the second loss is determined according to the mastery degree prediction information of the associated knowledge point set of the specified knowledge point based on the training sample and the training label thereof; and through the processing of the associated knowledge tracking model, predicting the mastery degree of the user on the knowledge points in the predetermined knowledge point set after the specified time range.

Description

technical field [0001] This specification relates to the technical field of machine learning, and in particular to a method, device and equipment for tracking associated knowledge. Background technique [0002] With the rapid development of AI technology, knowledge tracking has begun to play an increasingly important role in the personalized evaluation of users in education, skill training and other scenarios. [0003] In the existing technology, most knowledge tracking methods often ignore the correlation between knowledge points when predicting the knowledge mastery level of participating users, and cannot effectively track the knowledge points in the topic, and it is difficult to accurately predict the participation of users on the overall The learning situation of knowledge points. [0004] Based on this, an effective tracking method for related knowledge points is needed to better predict the learning situation of participating users on the overall knowledge points. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F16/33G06N3/04G09B7/04
CPCG06F16/3329G06F16/3344G09B7/04G06N3/045
Inventor 苏伟孙元涛黄强李福喜袁永娜胡楠
Owner LANZHOU UNIVERSITY
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