Method for effectively matching practicer with training questions based on data statistics

Abstract

The invention discloses a method for effectively matching a practicer with training questions based on data statistics. The method comprises the following steps: calculating a total score or a total score rate or a rank percentage of actual scores of the training questions of students participating in training; calculating the score rate or difficulty of a single question of the test questions trained by the students; establishing a statistical graph of all single-channel questions in the trained test questions; calculating a ratio of a curve slope to an average curve slope or a difference value of score rates or a difference value of difficulties between front and back adjacent sections in the statistical graph; judging whether the ratio of the curve slope to the average curve slope between the front and back adjacent sections is smaller than a first threshold value or whether the difference value of the score rate is smaller than a second threshold value or whether the difference value of the difficulty is smaller than a third threshold value; and if not, pushing the type of questions to the practicer corresponding to the previous section. According to the method, a database about the students and the test questions is established by counting the answer data of each student to each test question, so that the practicer and the test questions are effectively matched, and the training pertinence is improved.

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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