Multi-source information acquisition system for online learning student behavior analysis

Abstract

The invention provides a multi-source information acquisition system for online learning student behavior analysis. The multi-source information acquisition system comprises an eye movement information acquisition system, a computer operation information acquisition system and a student face image information acquisition system; the eye movement information collection system collects eye movement information of students in the learning process; the computer operation information acquisition system comprises a learning process screen recording system, a mouse event recording system, a keyboard event recording system and a group discussion and message recording system which are respectively used for acquiring computer screen recording data, mouse event information, keyboard event information and group discussion and message information; the student face image information acquisition system acquires face image information; and the three systems perform synchronous acquisition of multi-source data by adopting a multi-thread method. According to the invention, synchronous acquisition, recording and playback of various signal data can be realized, learning behaviors of students in online courses can be analyzed, learning content difficulties of the students can be effectively mined, learning states of the students can be evaluated, and learning performance can be predicted.

Description

technical field [0001] The invention relates to synchronous collection of multi-source data, in particular to a multi-source information collection system for online learning student behavior analysis. Background technique [0002] With the rapid development and widespread popularization of information technology, online learning has become the new normal of all kinds of education and teaching. But at the same time, many new problems have emerged, such as the lack of supervision in the online learning environment, the high dropout rate of various courses, the low completion rate of learning tasks, and the helplessness of learners in the online environment. Therefore, it is very necessary to collect and analyze the interactive information of online learning students, to dynamically understand the learning process of students, and to evaluate the learning status and learning performance of students. [0003] Eye movement recording technology, through a direct non-invasive mea...

AI Technical Summary

Problems solved by technology

Analyzing the learning behavior of students in online courses requires the correlation analysis of multi-source information such as eye movement information, computer operation information, facial image information, group discus

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