Deep knowledge tracking method and system

A technology of knowledge and depth, applied in the field of deep knowledge tracking methods and systems, can solve problems such as inability to improve students' divergent thinking ability, reduce the accuracy and reliability of knowledge points, and lack of pertinence

Pending Publication Date: 2021-05-18
SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the teaching of knowledge to students is realized through offline classrooms or online classrooms. Both offline classrooms and online classrooms are based on the content of textbooks. It is impossible to effectively expand and mine the corresponding knowledge data, which seriously affects the quality of teaching and cannot improve students' divergent thinking ability
Although the existing technology can search for relevant content of a certain knowle...

Method used

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  • Deep knowledge tracking method and system
  • Deep knowledge tracking method and system
  • Deep knowledge tracking method and system

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Embodiment Construction

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0056] refer to figure 1 , is a schematic flowchart of the deep knowledge tracking method provided by the embodiment of the present invention. The deep knowledge tracking method includes the following steps:

[0057] Step S1, scan the paper textbook to obtain the corresponding paper textbook image, and process the paper textbook image, so as to convert the knowledge content contained in the paper textbook into editable digital knowledge data;

[0058] Step S2, de...

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Abstract

The invention provides a deep knowledge tracking method and system, which can convert knowledge contents on a paper textbook into digital knowledge data in an editable form, and deep mining and extension are carried out on knowledge point contents by utilizing a corresponding knowledge database and a character semantic recognition result of the digital knowledge data, so that a deep knowledge tracking effect is achieved. And finally, permutation and combination are carried out on the associated knowledge point data to obtain the deep knowledge graph, so that targeted mining expansion can be carried out on the textbook knowledge content, and the deep knowledge graph based on a certain knowledge point content is formed. Therefore, corresponding divergent teaching of knowledge points in the teaching process is facilitated, and the teaching quality and the divergent thinking ability of students are improved.

Description

technical field [0001] The invention relates to the technical field of intelligent teaching, in particular to a deep knowledge tracking method and system. Background technique [0002] At present, the teaching of knowledge to students is realized through offline classrooms or online classrooms. Both offline classrooms and online classrooms are based on the content of textbooks. It is impossible to effectively expand and mine the corresponding knowledge data, which seriously affects the quality of teaching and cannot improve students' divergent thinking ability. Although the existing technology can search for relevant content of a certain knowledge point through a corresponding search engine, this search method is not targeted, and it cannot perform an effective associated search based on the current knowledge point, and according to the search results Forming a knowledge map related to the current knowledge points greatly reduces the accuracy and reliability of tracking and...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/33G06F40/30G06K9/32G06K9/72
CPCG06F16/367G06F16/3344G06F40/30G06V20/62G06V10/768G06V30/287
Inventor 崔炜
Owner SHANGHAI SQUIRREL CLASSROOM ARTIFICIAL INTELLIGENCE TECH CO LTD
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