Knowledge point evaluation method and device

Abstract

The invention relates to a knowledge point evaluation method and device which can be realized through a cloud server. The method comprises the following steps: acquiring a test question set corresponding to a to-be-tested knowledge point set and determining a corresponding question bank knowledge space based on knowledge point subsets respectively corresponding to each test question in the test question set; determining a mastering result of an evaluated knowledge point according to a historical answer result of a target object, and screening candidate knowledge point subsets from the question bank knowledge space according to the mastering result of the evaluated knowledge point; determining a target knowledge point subset from the candidate knowledge point subsets based on the historical answer result and pushing target test questions corresponding to the target knowledge point subset in the test question set; stop pushing until test stop conditions are met; and obtaining a knowledge point evaluation result based on answer results obtained by answering the pushed target test questions by the target object. The knowledge point evaluation efficiency can be improved through the method, and the corresponding content is pushed to the target object according to the knowledge point evaluation result.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a knowledge point assessment method, device, computer equipment and storage medium. Background technique [0002] Online assessment is the core focus of modern education. Through online assessment, the ability level of the target object and the mastery of knowledge points can be accurately diagnosed, so as to provide personalized learning assistance to the target object. However, as the number of knowledge points to be evaluated increases, the number of test questions corresponding to the knowledge points to be evaluated is also increasing, which greatly affects the efficiency of online evaluation. [0003] In the traditional technology, in order to evaluate the target object's mastery of all knowledge points, the target object needs to answer a large number of test questions, so as to determine the target object's mastery of each knowledge point according to the targ...

AI Technical Summary

Problems solved by technology

[0004] However, in actual situations, considering that a test question corresponds to a subset of knowledge points, and there is coverage between the subsets of knowledge points corresponding to different test questions, the traditional technology does not take into account the knowledge points between different subsets of knowledge points. Therefore, there is a disadvantage of using multiple test questions to repeatedly test the knowledge points that have already been mastered, which leads to low efficiency in the evaluation of knowledge points

Images