Physical knowledge point intelligent recognition method and device 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 knowledge point labeling, and achieve strong interpretability

Active Publication Date: 2021-10-08
江西风向标智能科技有限公司
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  • Abstract
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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 thinki...

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  • Physical knowledge point intelligent recognition method and device based on teaching thinking
  • Physical knowledge point intelligent recognition method and device based on teaching thinking
  • Physical knowledge point intelligent recognition method and device based on teaching thinking

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Embodiment Construction

[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 invention provides a physical knowledge point intelligent recognition method and device based on teaching thinking, and relates to the technical field of education. The method comprises the following steps: constructing a knowledge element graph based on keywords and meta-knowledge points of a physics department, combing out an examination point knowledge graph in which knowledge points are associated with examination points based on an examination point logic system of the physics department; extracting a graph logic relation according to the knowledge element graph and the examination point knowledge graph; carrying out structured processing on the physical questions, respectively extracting physical elements of each part of content, and carrying out semantic combination on the physical elements through a pre-trained language model; constructing an examination point recognition algorithm model, combining structured analysis and physical semantics of physical questions, and recognizing examination point intervals with strong question correlation so as to mark physical examination points of the examination point intervals. The technical problems of low knowledge point labeling efficiency and low labeling accuracy generally existing in an automatic examination point labeling method in the prior art can be solved.

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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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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