Online learning system based on emotional state

Abstract

The invention provides an online learning system based on an emotional state, and the system comprises a data collection module which is used for collecting a head image of a learner and online interaction behavior data; a learning emotion evaluation module which is used for respectively analyzing and processing the learner head image and the online interaction behavior data, and acquiring the learning emotion state of the learner in real time based on a pre-established learning emotion model; a concentration degree adjusting module which is used for judging whether an interactive relaxation mode needs to be entered or not according to the current learning emotion state of the learner; and a learning content intervention module which is used for dynamically adjusting the learning content in the learning content library according to the current learning emotion state of the learner. The learning emotion evaluation mechanism integrating facial expression recognition, head posture recognition and interactive behavior analysis is applied to the whole learning process of online learning, learning content adjustment and intercurricular rest are conducted in time according to the emotionstate of a learner, invalid learning is effectively reduced, and the online learning efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of intelligent services and online education, in particular to an online learning system based on emotional state. Background technique [0002] With the continuous advancement of artificial intelligence, computers, big data and other technologies and the continuous increase of human needs, the number of people who conduct online education through the Internet is also growing rapidly. However, the unsupervised self-study model led by this emerging education method lacks the emotional interaction in the traditional education method, resulting in low learning efficiency and over-the-top learning content. In order to improve the efficiency of online learning and obtain a more accurate and customized knowledge structure, we urgently need to add emotional interaction to online learning to achieve more intelligent human-computer interaction. [0003] At present, many colleges and universities have used MOOC and o...

AI Technical Summary

Problems solved by technology

However, the current online learning system; on the one hand, it is difficult for teachers to analyze the status of students' online learning, unable to obtain students' weak knowledge links, and unable to dynamically adjust classroom content based on online learning feedback

On the other hand, for students, the lack of interactive teaching mode can easily lead to fatigue, and mechanical viewing in order to cope with teachers and homework also makes students lack the motivation to actively learn, lack of awareness of their own learning progress and mastery, Difficult to achieve optimal learning efficiency

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