Online student knowledge assessment method and system

Abstract

The invention belongs to the big data mining technological field and relates to an online student knowledge assessment method and system. The invention aims to comprehensively consider a plurality offeatures of data, improve the accuracy of analysis results, reduce the training time of a model, improve the automaticity and excellence of a system and assess knowledge mastering conditions. The method of the present invention includes the following steps that: a network connection with a database for storing student answer data is established, after the relevant answer data of all students are obtained from the database, and de-noising is performed on the relevant answer data, so that a preliminarily-screened sample set is obtained; the answer conditions of all the students are further predicted on the basis of a CART algorithm according to the preliminary-screened sample set, so that a first prediction result is obtained, one-hot encoding is performed on the true answer result of each student and the corresponding knowledge point ID of each question, and encoding results are further analyzed through a DKT model, so that the evaluation results of the knowledge mastering conditions ofthe students are obtained.

Description

technical field [0001] The invention relates to the technical field of big data mining, in particular to a method and system for assessing students' online knowledge. Background technique [0002] Since the 21st century, information-based educational technology has entered the daily teaching process, and educational informatization has become an important research direction formed by the integration of computers and traditional education. With the development of the Internet, various online learning systems have been explored and developed in order to break the traditional education model restricted by regions. Under the new education model, for students, if they want to improve their academic performance, they have to face the problem of "information explosion", that is, how to quickly obtain part of the resources suitable for them from the vast variety of educational resources to improve themselves. knowledge structure. For this reason, people began to integrate artifici...

AI Technical Summary

Problems solved by technology

At present, most of the DKT models or BKT models are used to analyze the cognitive state of students. However, when using the DKT model for knowledge assessment, only the names of knowledge points and answer results are used, and there are no other available features of the data, such as students’ Answering time, answering times, etc., cannot make full use of all characteristic data; in addition, when using the BKT model for knowledge evaluation, it is necessary to consider the overall knowledge structure and evaluation mechanism of a specific field, and at the same time, it does not introduce knowledge difficulty and individual cognitive ability differences and other factors often lead to inaccurate analysis results

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