CN115564267A - Knowledge point mastering degree identification method, storage medium and equipment - Google Patents

Knowledge point mastering degree identification method, storage medium and equipment Download PDF

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Publication number
CN115564267A
CN115564267A CN202211274821.5A CN202211274821A CN115564267A CN 115564267 A CN115564267 A CN 115564267A CN 202211274821 A CN202211274821 A CN 202211274821A CN 115564267 A CN115564267 A CN 115564267A
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page
question
user
image
data
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陈家峰
季英会
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Readboy Education Technology Co Ltd
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Readboy Education Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063112—Skill-based matching of a person or a group to a task
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06398—Performance of employee with respect to a job function
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G06Q50/205—Education administration or guidance

Abstract

The invention discloses a knowledge point mastery degree identification method, a storage medium and equipment, wherein a user can evaluate the knowledge point mastery degree of a student according to the problem-making conditions of historical homework or examination of the user without making a large number of diagnosis problems, and the more problem-making data input by the user and the user, the more data in a resource library can be automatically updated, and the more accurate the evaluated data can be.

Description

Knowledge point mastering degree identification method, storage medium and equipment
Technical Field
The invention relates to the technical field of intelligent education, in particular to a knowledge point mastering degree identification method, a storage medium and equipment.
Background
In the process of learning of students, in order to accurately find weak knowledge points of the students, a diagnosis question bank is generally required to be manufactured for the students to test, and then the weak knowledge points of the students are judged according to a test result. However, because of no pertinence, a diagnosis question bank with very large data size and very accurate data needs to be manufactured, and students also need to manufacture a large number of questions, so that the cost for manufacturing the diagnosis question bank is high, the burden of the students is heavy, and the popularization of auxiliary learning equipment is not facilitated.
Disclosure of Invention
In view of the deficiencies of the prior art, the present invention aims to provide a knowledge point mastery degree identification method, a storage medium and a device.
In order to achieve the purpose, the invention adopts the following technical scheme:
a knowledge point mastering degree identification method comprises the following specific steps:
s1, resource library preparation: collecting data information of a plurality of data sources, wherein the data information of the data sources comprises names of the data sources, publishing information, image data and text data of each page, difficulty level of each topic in each page and knowledge points related to each topic;
the difficulty level of each topic is determined according to the following process:
(1) Calculating the accuracy of the questions;
Figure BDA0003896570150000021
wherein Pr is the number of people who completely do right to the topic, phr is the number of people who do right to the topic, and Pall is the total number of people who do right to the topic currently;
(2) According to a preset difficulty grade division rule, determining the difficulty grade of the question according to the accuracy of the question, wherein different difficulty grades correspond to different accuracy ranges;
s2, collecting page images of the subject materials which are already finished and corrected for the users to be evaluated; the corrected page image of the subject material has correction marks with specified colors;
s3, acquiring a data source corresponding to the page image of the subject material;
s4, acquiring difficulty levels and associated knowledge points of all questions in a current question material page image according to the data source, and acquiring the mastery degree of the knowledge points of the current user according to the question making conditions of the user on all questions; the specific process is as follows:
s4.1, extracting the handwritten fonts and the area coordinates of the handwritten fonts of the page images of the material to be subject obtained in the step S1;
s4.2, identifying the handwritten font with the designated color, and obtaining correction content corresponding to each topic in the page image of the material to be examined by combining the area coordinates of the handwritten font with the designated color, wherein the correction content is used for indicating whether the topic is correct, wrong or partially correct;
s4.3, obtaining the mastery degree of each knowledge point by the user according to the difficulty level of each question corresponding to the page image of the question making material, wherein under the condition that the answer of the user is correct or partially correct, the higher the question difficulty is, the better the mastery degree of the knowledge point is, and under the condition that the answer of the user is wrong, the lower the question difficulty is, the worse the mastery degree of the knowledge point is;
and S5, recalculating the problem making accuracy of each problem of the corresponding page in the corresponding data source according to the problem making condition of each problem in the current problem making material page image of the user, and updating and determining the difficulty level of each problem in the page.
In step S2, after the page image of the subject material is acquired, the page image of the subject material is preprocessed by one or more of rectangle correction, curve correction, noise point removal, image enhancement and image size resetting.
The invention provides a specific process of the step S3 as follows:
s3.1, identifying the font of the printing form and the font of the handwriting form in the page image of the subject material;
s3.2, removing the handwriting font from the page image of the material to be made to obtain a source image of the page of the material to be made to the question;
and S3.3, matching the subject material page source image obtained in the step S3.2 with the image data of the data sources in the database to obtain a corresponding data source, or carrying out ocr identification on the subject material page source image obtained in the step S3.1 to obtain text data, matching the text data of the subject material page source image with the text data of each data source, and obtaining a corresponding data source.
In step S4.3, different difficulty levels of the user under the conditions of correct answer, partial correct answer and wrong answer are preset corresponding to different mastery degree values respectively, and the mastery degree value of the user on the knowledge point associated with each question is output according to the question making condition of the user and the difficulty level of the question, so that the user can visually know the mastery degree of the knowledge point.
Furthermore, if multiple topics are associated with the same knowledge point, the grasping degree values corresponding to the topics are weighted or averaged to obtain the final grasping degree value of the knowledge point by the user.
The invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above method.
The invention provides a computer device comprising a processor and a memory, the memory for storing a computer program; the processor is adapted to implement the above method when executing the computer program.
The invention has the beneficial effects that: by using the method and the system, a user does not need to make a large number of diagnosis questions, the mastery degree of the knowledge points of the student can be evaluated according to the question making conditions of the historical homework or the examination of the user, and the more question making data input by the user and the user, the more accurate the data in the resource library can be automatically updated, and the more accurate the evaluated data can be.
Detailed Description
The present invention will be further described below, and it should be noted that the present embodiment is based on the technical solution, and a detailed implementation manner and a specific operation process are provided, but the protection scope of the present invention is not limited to the present embodiment.
The embodiment provides a knowledge point mastery degree identification method, which specifically comprises the following processes:
s1, resource library preparation: collecting data information of a plurality of material sources (such as test papers, teaching and auxiliary materials and the like), wherein the data information of the material sources comprises names of the material sources, publishing information, image data and text data of each page, difficulty level of each topic in each page and knowledge points associated with each topic; the repository may store a cloud.
The difficulty level of each topic is determined according to the following process:
(1) Calculating the accuracy of the questions;
Figure BDA0003896570150000041
where Pr is the number of people who have completely paired the topic (i.e., the number of people who have scored all), phr is the number of people who have partially paired the topic (i.e., the number of people who have scored partially), and Pall is the total number of people who have currently paired the topic.
(2) And according to a preset difficulty grade division rule, determining the difficulty grade of the question according to the accuracy of the question, wherein different difficulty grades correspond to different accuracy ranges. The difficulty grades can be divided into difficulty, middle difficulty, easiness and the like, and the distribution range of the accuracy rate of the questions can be divided according to the experience values of scientific research specialists.
S2, collecting page images (test paper, homework or teaching and assisting materials and the like) of the completed and corrected subject materials for the user to be evaluated;
note that the subject material page image that has been subjected to correction has a correction trace of a specified color (e.g., red).
In this embodiment, after acquiring the page image of the subject material, the page image of the subject material is preprocessed by one or more of rectangle correction, surface correction, noise removal, image enhancement, and image resizing.
S3, acquiring a data source corresponding to the page image of the subject material; the specific process is as follows:
s3.1, identifying the print font and the handwritten font in the page image of the question material;
s3.2, removing the handwriting font from the page image of the material to be made to obtain a source image of the page of the material to be made to the question;
s3.3, matching the subject material page source image obtained in the step S3.2 with the image data of the data sources in the database to obtain a corresponding data source, or carrying out ocr identification on the subject material page source image obtained in the step S3.1 to obtain text data, matching the text data of the subject material page source image with the text data of each data source, and obtaining a corresponding data source;
and S4, acquiring the difficulty level and the associated knowledge point of each question in the current question material page image according to the data source, and acquiring the mastery degree of the knowledge point of the current user according to the question condition of the user on each question. The specific process is as follows:
s4.1, extracting the handwritten fonts and the area coordinates of the handwritten fonts of the page images of the material to be subject obtained in the step S1;
s4.2, identifying the handwritten font with the designated color, and obtaining correction content corresponding to each topic in the page image of the material to be examined by combining the area coordinates of the handwritten font with the designated color, wherein the correction content is used for indicating whether the topic is correct, wrong or partially correct. It should be noted that the correction trace is handwritten, so that the correction content, for example, correct (hook), wrong (cross), and partially correct (circle) can be extracted by identifying the designated color in the handwritten font result.
And S4.3, obtaining the mastery degree of each knowledge point by the user according to the difficulty level of each question corresponding to the page image of the question making material, wherein the higher the question difficulty is, the better the mastery degree of the knowledge point is under the condition that the user answers correctly or partially correctly, and the lower the question difficulty is, the worse the mastery degree of the knowledge point is under the condition that the user answers incorrectly. In the embodiment, the mastery degree is quantitatively expressed, different difficulty levels corresponding to different mastery degree values under the conditions of correct answer, partially correct answer and wrong answer of the user are preset respectively, and the mastery degree value of the user on the knowledge point associated with each question is output according to the question making condition and the difficulty level of the question, so that the user can visually know the mastery degree of the knowledge point.
It should be noted that, if multiple topics are associated with the same knowledge point, weighted calculation or averaging may be performed on the mastery degree values corresponding to the topics to obtain a final mastery degree value of the knowledge point by the user.
And S5, recalculating the problem making accuracy of each problem of the corresponding page in the corresponding data source according to the problem making condition of each problem in the current problem making material page image of the user, and updating and determining the difficulty level of each problem in the page.
It should be noted that, in order to further improve the accuracy of knowledge point mastering degree identification, the number of material page images can be further increased (the more test paper or teaching aid is identified, the more question answering data is, and the more accurate the evaluation result is). A threshold number of minimum material page images may be set and the user may scan at least the threshold number of material page images to initiate evaluation.
Various changes and modifications can be made by those skilled in the art based on the above technical solutions and concepts, and all such changes and modifications should be included in the protection scope of the present invention.

Claims (7)

1. A knowledge point mastering degree identification method is characterized by comprising the following specific steps:
s1, resource library preparation: collecting data information of a plurality of data sources, wherein the data information of the data sources comprises names of the data sources, publishing information, image data and text data of each page, difficulty level of each topic in each page and knowledge points associated with each topic;
the difficulty level of each topic is determined according to the following process:
(1) Calculating the accuracy of the questions;
Figure FDA0003896570140000011
wherein Pr is the number of people who do the complete right to the topic, phr is the number of people who do the right to the topic, and Pall is the total number of people who do the current topic;
(2) According to a preset difficulty grade division rule, determining the difficulty grade of the question according to the accuracy of the question, wherein different difficulty grades correspond to different accuracy ranges;
s2, collecting page images of the subject materials which are finished and corrected for the user to be evaluated; the corrected page image of the subject material has correction traces with specified colors;
s3, acquiring a data source corresponding to the page image of the subject material;
s4, acquiring difficulty levels and associated knowledge points of all questions in a current question material page image according to the data source, and acquiring the mastery degree of the knowledge points of the current user according to the question making conditions of the user on all questions; the specific process is as follows:
s4.1, extracting the handwritten fonts and the area coordinates of the handwritten fonts of the page images of the material to be subject obtained in the step S1;
s4.2, identifying the handwritten font with the designated color, and obtaining correction content corresponding to each topic in the page image of the material to be examined by combining the area coordinates of the handwritten font with the designated color, wherein the correction content is used for indicating whether the topic is correct, wrong or partially correct;
s4.3, obtaining the mastery degree of each knowledge point by the user according to the difficulty level of each question corresponding to the page image of the question making material, wherein under the condition that the answer of the user is correct or partially correct, the higher the question difficulty is, the better the mastery degree of the knowledge point is, and under the condition that the answer of the user is wrong, the lower the question difficulty is, the worse the mastery degree of the knowledge point is;
and S5, recalculating the problem making accuracy of each problem of the corresponding page in the corresponding data source according to the problem making condition of each problem in the current problem making material page image of the user, and updating and determining the difficulty level of each problem in the page.
2. The method of claim 1 wherein in step S2, after the acquisition of the subject material page image, the subject material page image is preprocessed by one or more of rectangle correction, surface correction, noise removal, image enhancement, and image resizing.
3. The method according to claim 1, wherein the specific process of step S3 is:
s3.1, identifying the font of the printing form and the font of the handwriting form in the page image of the subject material;
s3.2, removing the handwriting font from the page image of the material to be made to obtain a source image of the page of the material to be made to the question;
and S3.3, matching the subject material page source image obtained in the step S3.2 with the image data of the data sources in the database to obtain a corresponding data source, or carrying out ocr identification on the subject material page source image obtained in the step S3.1 to obtain text data, matching the text data of the subject material page source image with the text data of each data source, and obtaining a corresponding data source.
4. The method according to claim 1, wherein in step S4.3, different difficulty levels of the user under the conditions of correct answer, partially correct answer and wrong answer are preset corresponding to different mastery degree values, and the mastery degree value of the user on the knowledge point associated with each question is output according to the question making condition and the difficulty level of the question, so that the user can intuitively know the mastery degree of the knowledge point.
5. The method according to claim 4, wherein if a plurality of topics are associated with the same knowledge point, the corresponding mastery degree values of the topics are weighted or averaged to obtain the final mastery degree value of the knowledge point by the user.
6. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method of any one of claims 1 to 5.
7. A computer device comprising a processor and a memory, the memory for storing a computer program; the processor, when executing the computer program, is configured to perform the method of any of claims 1-5.
CN202211274821.5A 2022-10-18 2022-10-18 Knowledge point mastering degree identification method, storage medium and equipment Pending CN115564267A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116597461A (en) * 2023-07-14 2023-08-15 广东信聚丰科技股份有限公司 Topic knowledge point association method and system based on artificial intelligence

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116597461A (en) * 2023-07-14 2023-08-15 广东信聚丰科技股份有限公司 Topic knowledge point association method and system based on artificial intelligence
CN116597461B (en) * 2023-07-14 2023-09-22 广东信聚丰科技股份有限公司 Topic knowledge point association method and system based on artificial intelligence

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