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

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...

AI Technical Summary

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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