A Knowledge Tracing Method Based on Group Learning Behavior Characteristics

Abstract

The invention discloses a knowledge tracking method based on group learning behavior characteristics. First, according to the new field that the user wants to learn, the historical answer data of the field is collected, and the DKVMN model is used to extract the learning process of each student for each knowledge point, that is, the student The learning characteristics of individual knowledge points; then, use the improved K-Means method to cluster the learning characteristics of students’ personal knowledge points, and at the same time dig out the learning characteristics of each category of group knowledge points; finally, use the learning characteristics of student groups and student The learning characteristics of personal knowledge points predict the user's learning situation in this field. Compared with the current knowledge tracking method, the present invention has a breakthrough solution to the problem of how to track knowledge in a new field, and at the same time greatly improves the accuracy of knowledge tracking.

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 such as Massive Open Online Courses (MOOC) and Intelligent Tutoring Systems (ITS). With the vigorous development of online learning systems in the Internet, more and more students are willing to learn through the Internet. In this new Internet education scenario, students usually consolidate their learning content or gain new knowledge through interactive feedback such as purposeful communication, discussing questions, and doing exercises. However, the online learning system has the problems of low self-learning efficiency of students and difficulty in intelligent and personalized teaching of the system itself. The main reason is that the onli...

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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