Knowledge point mastery degree online evaluation system and method

Abstract

The invention relates to the field of education technology and measurement methods, and relates to a knowledge point mastery degree online evaluation system and method, the evaluation system comprisesa student knowledge offline calculation module, a question sorting module and an online updating module, and the method comprises the following steps: collecting historical behavior records of an evaluated object on knowledge points to be measured, calculating the historical mastery degree of the evaluated object on each knowledge point by adopting a Bayesian algorithm according to the historicalrecord, recommending test contents in combination with the fine-grained knowledge graph and the exercise library, updating the mastery degree of the knowledge point to be tested on line according toa real-time test result, and performing loop iteration until a preset threshold value is reached. The method is suitable for pushing proper evaluation content to the evaluated object and calculating the mastery degree on the knowledge points to be tested, and has the advantages of obtaining the same test effect with less test content, obviously improving the user experience and the like.

Description

Technical field: [0001] The invention relates to the field of educational technology and measurement methods, in particular to an online evaluation system and method for mastery of knowledge points. Background technique [0002] The prior art discloses that relevant educational institutions measure students' mastery of certain knowledge, regardless of online or offline, and generally adopt the method of answering questions through assessment papers. Usually, when the study subject includes a large number of knowledge points, and some knowledge points have multiple assessment exercises, it will become very difficult to use an appropriate amount of assessment questions to comprehensively test the students' accurate mastery, because the three aspects of comprehensiveness, appropriateness and accuracy The latter is a competitive relationship; for example, in a given number of knowledge points to be investigated, more questions need to be designed for a comprehensive inspection; ...

AI Technical Summary

Problems solved by technology

Usually, when the study subject includes a large number of knowledge points, and some knowledge points have multiple assessment exercises, it will become very difficult to use an appropriate amount of assessment questions to comprehensively test the students' accurate mastery, because the three aspects of comprehensiveness, appropriateness and accuracy The latter is a competitive relationship; for example, in a given number of knowledge points to be investigated, more questions need to be designed for a comprehensive inspection; or, in the case of a given number of knowledge points and questions, how to evaluate more accurately according to the answering situation, etc. ; In addition, for a student, the assessment cannot fully and accurately evaluate the level of knowledge he has mastered, because even the simplest questions can make mistakes due to carelessness, and some of the difficult points may be temporarily concealed , so it is not completely reliable to only determine the level of students' mastery of knowledge points only through the scores of the assessment

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