A method for effectively matching practitioners and training questions based on data statistics

Abstract

The invention discloses a method for effectively matching practitioners and training test questions based on data statistics. The scoring rate or difficulty of a single question; establish a statistical chart of all single-track questions in the training test questions; calculate the ratio of the slope of the curve and the slope of the average curve between the adjacent segments in the statistical chart or the difference in the scoring rate or the difficulty Difference; whether the ratio of the curve slope and the average curve slope between the adjacent sections before and after judging is less than the first threshold or whether the difference of the scoring rate is less than the second threshold or whether the difference of difficulty is less than the third threshold; if not , then push this type of topic to the practitioners corresponding to the previous paragraph. The invention establishes a database about students-test questions by counting each student's answer data to each test question, thereby effectively matching practitioners and test questions, and improving the pertinence of training.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to a method for effectively matching practitioners and training test questions based on data statistics. Background technique [0002] At present, when providing training test questions to students, generally the same type of test questions are sent to all students to do, or simply use the scoring rate of students' relevant knowledge points (scoring rate = score of this question / score of this question × 100%) to push relevant The specific method is that the lower the score rate of the relevant knowledge is, the questions related to the knowledge point will be pushed to the students. The above methods have the following problems: 1. There are few samples, and the statistics of scoring rate are not accurate; 2. When recommending topics, they are pushed based on the scoring rate of knowledge points. The same knowledge point may contain different types of topics , poor pertinence; 3. It is...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art, provide a kind of method based on data statistics to effectively match the practitioner and the training test questions, solve the problem in the prior art that the samples of the statistical analysis scoring rate are few, and the statistics are inaccurate; solve Pushing questions based on knowledge points, the effect of targeted training is poor, and at the same time solving the problem that it is impossible to predict whether the provided test questions will improve the students who accept the test questions, or which level (score segment or ranking) this test question is for ) students have facilitative questions

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