Knowledge point difficulty grading method based on big data

Abstract

The invention discloses a knowledge point difficulty grading method based on big data, and the method comprises the steps: obtaining all questions corresponding to a target knowledge point, and forming a corresponding test question bank through all questions corresponding to the target knowledge point; providing questions in the test question bank to a target user for the target user to answer, and obtaining answer information and answer duration corresponding to the target user; calculating the complexity of an examination question corresponding to the target knowledge point according to theanswer information and the answer duration of the target user; determining the difficulty level of the target knowledge point according to the calculated complexity of the examination questions of thetarget knowledge point; and the purpose of automatically judging the difficulty levels of the related knowledge points according to the collected big data is achieved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for grading the difficulty of knowledge points based on big data. Background technique [0002] At present, the difficulty level of knowledge points learned by students is usually manually grasped and judged by the person who made the question or the teacher who made the question. At the same time, with the continuous development and progress of computer technology, more and more teachers use the method of automatically generating questions, such as using computers to randomly select corresponding questions from the question bank according to the corresponding question types to generate test papers. It is difficult to grasp the difficulty of the knowledge points in the above-mentioned question-making method, and it cannot automatically calculate the difficulty of the knowledge points of the relevant test questions based on the collected big data. It is easy to ap...

AI Technical Summary

Problems solved by technology

It is difficult to grasp the difficulty of the knowledge points in the above-mentioned question-making method, and it cannot automatically calculate the difficulty of the knowledge points of the relevant test questions based on the collected big data. It is easy to appear that the difficulty of the questions is too high or too low, which is not conducive to students' learning and teachers. teaching students in accordance with their aptitude

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