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Difficulty Grading Method of Knowledge Points Based on Big Data

A technology of big data and knowledge points, applied in the field of big data, can solve problems such as lack of discrimination ability, misreading, omission, affecting the accuracy of knowledge points and difficult grading, etc., so as to improve the scope and breadth of judgment and improve the accuracy. , the effect of good application effect

Active Publication Date: 2022-05-20
小二郎科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is: in order to solve the difficulty judgment of the knowledge points of some topics, generally through manual judgment, when manual judgment, sometimes misjudgments may be caused by misreading or omissions, which ultimately affects the accuracy of grading of knowledge points and difficulties Therefore, big data is introduced, and the difficulty of some topic knowledge points can also be graded. Big data can be used to judge the difficulty of knowledge points through the analysis process. Although this method avoids the misjudgment caused by manual judgment situation, but this method can only be used to identify knowledge points with specified unique answers. For some open knowledge points, it does not have good discrimination ability, and the proposed knowledge point difficulty rating based on big data method

Method used

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  • Difficulty Grading Method of Knowledge Points Based on Big Data

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Embodiment 1

[0040] The present invention provides a technical solution: a method for grading the difficulty of knowledge points based on big data, including the following steps:

[0041] S1. Obtain open questions through big data, classify the fields involved in the questions, form question types in different fields, and form a large question bank;

[0042] S2. Select a group of specific answerers, enter the question bank to answer questions, and set the answering time;

[0043] S3. During the answering time, after the respondent completes the answer, for the submission of the questions and answers, the system will pack and mark each question and answer with the respondent's ID, and the system will scramble and redistribute it to the respondent. , ensure that the same ID cannot obtain the same questions and answers as the bundled ID;

[0044] S4. For each question and answer received, each respondent predicts the score of the question according to his professional knowledge. The score pr...

Embodiment 2

[0052] The present invention provides a technical solution: a method for grading the difficulty of knowledge points based on big data, including the following steps:

[0053] S1. Obtain open questions through big data, classify the fields involved in the questions, form question types in different fields, and form a large question bank;

[0054] S2. Select a group of specific answerers, enter the question bank to answer questions, and set the answering time;

[0055] S3. During the answering time, after the respondent completes the answer, for the submission of the questions and answers, the system will pack and mark each question and answer with the respondent's ID, and the system will scramble and redistribute it to the respondent. , ensure that the same ID cannot obtain the same questions and answers as the bundled ID;

[0056] S4. For each question and answer received, each respondent predicts the score of the question according to his professional knowledge. The score pr...

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Abstract

The invention discloses a method for grading the difficulty of knowledge points based on big data, which belongs to the technical field of big data and includes the following steps: obtaining open questions through big data, classifying the fields involved in the questions, and forming question types in different fields; It creatively introduces the method that all answerers can obtain other people's answers after answering the question, so that the answerer is both a tester and a tester, and can get a predicted score, and at the same time, through the big data algorithm, the knowledge points of the question can be greatly improved. Data analysis and judgment, a score is obtained, and the two are combined to obtain the average value to obtain the final score. This method effectively combines the process of human judgment and big data analysis and judgment, and greatly improves the accuracy of difficulty grading for knowledge points. At the same time, it can solve the problem of some open problems that big data analysis is not easy to judge, combining the advantages of the two, and finally judge the final difficulty level through big data, which has good application effect.

Description

technical field [0001] The invention belongs to the technical field of big data, and in particular relates to a method for grading the difficulty of knowledge points based on big data. Background technique [0002] With the rapid development of IT technology, the concept of big data came into being. Big data is generally used more in the IT industry. It generally refers to the collection of data that cannot be captured, managed and processed by conventional software tools within a certain period of time. , people can have stronger decision-making power, insights and process optimization capabilities based on big data information. Big data is a high-growth and diversified information asset. [0003] Usually, the difficulty judgment of the knowledge points of some topics is generally judged manually. During manual judgment, sometimes misjudgments may be caused by misreading or omissions, which will eventually affect the grading accuracy of knowledge points and difficulties. Th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35G06K9/62G06Q10/06
CPCG06F16/353G06Q10/06393G06F18/22G06F18/23213
Inventor 周鹏
Owner 小二郎科技有限公司