A method and device for intelligent recognition of physics knowledge points based on teaching thinking

A technology of intelligent identification and knowledge points, applied in the field of education, can solve the problems of low labeling accuracy and low efficiency of labeling knowledge points, and achieve the effect of strong interpretability

Active Publication Date: 2022-01-28
江西风向标智能科技有限公司
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Problems solved by technology

[0005] Based on this, the purpose of the present invention is to provide a method and device for intelligent identification of physical knowledge points based on teaching thinking, aiming to solve the problems of low efficiency and low accuracy of labeling knowledge points commonly found in automatic labeling methods for test points in the prior art question

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  • A method and device for intelligent recognition of physics knowledge points based on teaching thinking
  • A method and device for intelligent recognition of physics knowledge points based on teaching thinking
  • A method and device for intelligent recognition of physics knowledge points based on teaching thinking

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[0040] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the associated drawings. Several embodiments of the invention are shown in the drawings. However, the present invention can be embodied in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that the disclosure of the present invention will be thorough and complete.

[0041] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0042] see fig...

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Abstract

The present invention provides a method and device for intelligent identification of physical knowledge points based on teaching thinking, and relates to the field of education technology. Sort out the knowledge map of the test points associated with the knowledge points and the test points, and extract the logical relationship of the map according to the knowledge element map and the test point knowledge map; carry out structural processing on the physics questions, extract the physical elements of each part of the content separately, and use the pre-trained language model to understand the physical Semantic combination of elements; build test center recognition algorithm model, combine structural analysis of physics questions with physics semantics, identify test center intervals with strong relevance of questions, and mark physical test points in test center intervals. The invention can solve the common technical problems of low labeling efficiency and low labeling accuracy of knowledge points generally existing in automatic labeling methods of test points in the prior art.

Description

technical field [0001] The invention relates to the field of education technology, in particular to an intelligent identification method and device for physical knowledge points based on teaching thinking. Background technique [0002] In order for students to better grasp the knowledge points, teachers usually manually mark the knowledge points on the textbooks. However, manual labeling has the following disadvantages: excessive labor costs, low labeling efficiency, and difficulty in labeling knowledge points in large batches of question banks; artificial standards are too arbitrary and are easily limited by personal subjective factors and knowledge levels. In view of the shortage of manual labeling, some enterprises are exploring the automatic labeling of knowledge points to solve the problems existing in the existing manual labeling form. [0003] Existing automatic labeling usually includes similarity comparison labeling algorithms, machine learning + deep learning mode...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/36G06F16/35G06K9/62
CPCG06F16/367G06F16/35G06F18/214
Inventor 高玉伟
Owner 江西风向标智能科技有限公司
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