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
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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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