Construction of Affective E-learning Platform

被引：0
|
作者：
Cheng, Jing [1 ]
Liu, Guang-Yuan [2 ]
机构：
[1] Southwest Univ, Sch Comp & Informat Sci, Chongqing, Peoples R China
[2] Southwest Univ, Sch Elect & Informat Engn, Chongqing, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND COMMUNICATION ENGINEERING (CSCE 2015) | 2015年
关键词：
Affective e-learning platform; Affective detection based on physiological signals; Affective recommendation agent;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Recently the e-learning platforms are lack of affective support, which will decrease the students' learning efficiency. Base on this status we construct an affective e-learning platform based on distance learning system in Southwest University. In these platform six kinds of affective status of students can be recognized, which are confusion, boredom, engagement, frustration, fatigue and neutral (no affect), GSR, ECG and HR are collected by BIOPAC MP150. Multi-class classifier based on SVM is used to detect the student's emotion. And finally engagement obtains the best recognition accuracy; boredom gets the worst recognition accuracy. This affective status will be used by Affective Recommendation Agent, which can recommend different materials based on students' affective status.
引用
收藏
页码：437 / 443
页数：7
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