AI intelligent question cutting method and device for wrong homework questions

A technology of wrong questions and homework, which is applied in the field of AI intelligent problem-cutting methods and devices for homework wrong questions, can solve the problem of lack of pertinence, explain wrong questions, analyze wrong questions, make it difficult for teachers to manage the number of wrong questions, and it is inconvenient for students to redo wrong questions, etc. problems, to achieve the effect of convenient and fast operation, convenient follow-up processing, and data volume reduction

Pending Publication Date: 2020-11-03
深圳市师阅易科技有限公司
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AI Technical Summary

Problems solved by technology

[0002] The existing homework management system does not form a wrong question book for the correction results of extracurricular homework, which is not convenient for students to redo the wrong questions; and there is no electronic file after the paper homework is corrected, which is not convenient for real-time viewing; moreover, for paper homework, the teacher does not It is easy to manage the number of wrong questions, and there is a lack of targeted explanation and analysis of wrong questions

Method used

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  • AI intelligent question cutting method and device for wrong homework questions
  • AI intelligent question cutting method and device for wrong homework questions
  • AI intelligent question cutting method and device for wrong homework questions

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no. 1 example

[0061] The first embodiment of the present invention is: an AI intelligent topic-cutting method for wrong homework questions, including a topic-cutting model training process, a wrong-topic-cutting process, and a wrong-topic management process;

[0062] Among them, such as figure 1 As shown, the topic-specific model training process includes steps,

[0063] S11. The wrong question model calculates the wrong question through the algorithm, compares it with the wrong question collected manually, continuously trains and enriches the wrong question database, and obtains the intelligent collection wrong question model;

[0064] S12. Question type and question number model By manually collecting the question type and question number model, according to different subjects, training homework question types, calculating the composition rule of the question and question number, and obtaining the intelligent question type and question number model;

[0065] S13, the behavior model obtains...

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Abstract

The invention provides an AI intelligent question-cutting method and device for homework wrong questions, and the method comprises a wrong question-cutting process which comprises the steps: obtainingcorrected homework data which comprises pictures, Word, PDF and Excel formats; converting the corrected homework data in the non-picture format into homework data in a picture format; carrying out denoising, distortion correction and binarization processing on the job data in the picture format; identifying error questions from the job data in the picture format through an AI intelligent question-cutting system; and intercepting the wrong questions from the homework data in the picture format to form a wrong question book. The beneficial effects of the invention are that the method automatically recognizes the wrong homework questions of the students, does not need the students to manually identify the wrong questions, and enables teachers to master the homework conditions of the studentsmore conveniently and quickly.

Description

technical field [0001] The present invention relates to a method and device for cutting questions, in particular to an AI intelligent method and device for cutting problems in homework. Background technique [0002] The existing homework management system does not form a wrong question book for the correction results of extracurricular homework, which is not convenient for students to redo the wrong questions; and there is no electronic file after the paper homework is corrected, which is not convenient for real-time viewing; moreover, for paper homework, the teacher does not It is easy to manage the number of wrong questions, and there is a lack of targeted explanation and analysis of wrong questions. [0003] Therefore, we need to improve the existing homework management methods so that the wrong questions in the paper homework can quickly form a wrong question book, which is convenient for the teacher to quickly grasp the homework situation of each student. Contents of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06Q50/20
CPCG06Q50/2057G06V30/40G06F18/214
Inventor 杨润平
Owner 深圳市师阅易科技有限公司
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