An Emotional State-Based Online Learning System

Abstract

The present invention provides an online learning system based on emotional state, which includes: a data collection module for collecting learners' head images and online interaction behavior data; a learning emotion evaluation module for analyzing learners' head images and online interaction Behavioral data is analyzed and processed separately, and based on the pre-established learning emotion model, the learner's learning emotional state is obtained in real time; the focus adjustment module is used to judge whether it is necessary to enter the interactive relaxation mode according to the learner's current learning emotional state; The content intervention module is used to dynamically adjust the learning content in the learning content library according to the current learning emotional state of the learner. The present invention applies the learning emotion evaluation mechanism integrating facial expression recognition, head posture recognition and interactive behavior analysis to the whole learning process of online learning, adjusts the learning content and takes breaks in time according to the emotional state of the learners, effectively reducing the Ineffective learning improves the efficiency of online learning.

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 states. 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 ...

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

Images