Knowledge point quantitative-analysis method and device

Abstract

The invention discloses a knowledge point quantitative-analysis method and device. The method includes: constructing a knowledge point lineage graph, and establishing correspondence relationships of all knowledge points and all test questions, wherein the knowledge point lineage graph includes a knowledge point meta-database and a test question database; positioning a to-be-checked knowledge pointin the knowledge point meta-database, and acquiring at least one detection test question, which corresponds to the to-be-checked knowledge point, in the test question database according to the corresponding relationships; receiving an answering answer input by an examinee, acquiring a test question answer of the detection test question in the test question database, and carrying out analysis andcomparison on the test question answer and the answering answer to obtain question answering result information of the examinee for the to-be-checked knowledge point; and determining mastery result information of the examinee on the to-be-checked knowledge point according to all the question answering result information of the examinee. According to the knowledge point quantitative-analysis methodand device provided by the invention, the knowledge point can be quickly accurately and quantitatively analyzed, the mastery result information of the examinee on the knowledge point can be accurately determined, then examinee learning efficiency can be improved, and complete construction of a knowledge system of a learner is effectively helped.

Description

technical field [0001] The present invention relates to the technical field of electronic equipment, in particular, to a method and device for quantitative analysis of knowledge points. Background technique [0002] With the continuous development of electronic technology, many electronic products (such as point readers, learning computers) and learning applications on mobile terminals have appeared on the market to assist learning. In practice, it has been found that no matter whether it is an electronic product or a learning application, it only helps candidates to acquire knowledge services, such as providing candidates with functions such as searching learning materials, voice reading, and repeating, which can only affect the knowledge and ability of candidates. The overall rough judgment of the actual situation of the students does not effectively analyze the learning situation of the candidates, and it is impossible to accurately grasp the mastery of the knowledge poin...

AI Technical Summary

Problems solved by technology

In practice, it has been found that no matter whether it is an electronic product or a learning application, it only helps candidates to acquire knowledge services, such as providing candidates with functions such as searching learning materials, voice reading, and repeating, which can only affect the knowledge and ability of candidates. The overall rough judgment of the actual situation of the students, did not effectively analyze the learning situation of the candidates, and could not accurately grasp the mastery of the knowledge points in the learning process, resulting in the inability of the candidates to prescribe the correct medicine to improve the learning level and efficiency

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