Research on Multimodal Affective Computing Oriented to Online Collaborative Learning

被引：2
|
作者：
Yang, Jinpeng [1 ]
Zeng, Zhitong [1 ]
Xue, Yaofeng [2 ]
Guo, Wei [3 ]
机构：
[1] East China Normal Univ, Dept Educ Informat Technol, Shanghai, Peoples R China
[2] East China Normal Univ, Dept Educ Informat Technol, Shanghai Engn Res Ctr Digital Educ Equipment, KLATASDS MOE,IRCIGEBD NELEBD, Shanghai, Peoples R China
[3] East China Normal Univ, Jr Middle Sch, High Sch 2, Shanghai, Peoples R China
来源：
2019 IEEE 19TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2019) | 2019年
关键词：
Online collaborative learning; Affective computing; Learning community; data analysis; Logical function;
D O I：
10.1109/ICALT.2019.00045
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Analyzing the emotion interaction of online collaborative learning, this paper proposes a multimodal affective computing model combined with the logical function. The framework of an affective computing is designed, which includes several modules for collection, processing, analysis and visualization of data, sentiment classification and feedback. Finally, the feasibility and validity of the prototype system is verified.
引用
收藏
页码：137 / 139
页数：3
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