Knowledge tracking method based on group learning behavior characteristics

Abstract

The invention discloses a knowledge tracking method based on group learning behavior characteristics, and the method comprises the steps: firstly, collecting the historical answer data of a new fieldto be learned by a user, and extracting the learning process of each student for each knowledge point by adopting a DKVMN model, i.e., the learning characteristics of the individual knowledge points of the students; Next, using an improved K-means method to cluster the learning characteristics of the student personal knowledge points by the Means method, and mining the learning characteristics ofeach category of group knowledge points; and finally, predicting the learning condition of the user in the field by utilizing the learning characteristics of the student group and the learning characteristics of the student personal knowledge points. Compared with a current knowledge tracking method, the knowledge tracking method has the advantages that the problem of how to track knowledge in thenew field is solved in a breakthrough manner, and meanwhile, the knowledge tracking accuracy is greatly improved.

Description

technical field [0001] The invention belongs to the field of computer technology and relates to a knowledge tracking method, in particular to an online education-oriented knowledge tracking method based on group learning behavior characteristics. Background technique [0002] Online education mainly refers to online learning systems including massive open online courses (MOOC for short) and Intelligent Tutoring Systems (ITS for short). With the vigorous development of the online learning system in the Internet, more and more students are willing to study through the Internet. In this new type of Internet education scenario, students usually consolidate learning content or gain new knowledge through purposeful communication, discussion, exercise and other forms of interactive feedback. However, the online learning system has the problems of low efficiency of individual students' independent learning and the difficulty of intelligent and personalized teaching of the system it...

AI Technical Summary

Problems solved by technology

However, the online learning system has the problems of low efficiency of individual students' independent learning and the difficulty of intelligent and personalized teaching of the system itself.

The main reason is that the online learning system is difficult to quantitatively analyze each student's mastery of each knowledge point, so it cannot provide better assistance for students' learning.

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