Construction of Affective Education in Mobile Learning: The Study Based on Learner's Interest and Emotion Recognition

被引：11

作者：

Chen, Haijian ^{[1
]}

Dai, Yonghui ^{[2
]}

Feng, Yanjie ^{[2
]}

Jiang, Bo ^{[3
]}

Xiao, Jun ^{[1
]}

You, Ben ^{[2
]}

机构：

[1] Shanghai Open Univ, Shanghai Engn Res Ctr Open Distance Educ, Shanghai 200433, Peoples R China

[2] Shanghai Univ Int Business & Econ, Management Sch, Shanghai 201620, Peoples R China

[3] Shanghai Univ Finance & Econ, Sch Informat Management & Engn, Shanghai 200433, Peoples R China

来源：

COMPUTER SCIENCE AND INFORMATION SYSTEMS | 2017年 / 14卷 / 03期

关键词：

Affective education; mobile learning; learner's interest; emotion recognition;

D O I：

10.2298/CSIS170110023C

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Affective education has been the new educational pattern under modern ubiquitous learning environment. Especially in mobile learning, how to effectively construct affective education to optimize and enhance the teaching effectiveness has attracted many scholars attention. This paper presents the framework of affective education based on learner's interest and emotion recognition. Learner's voice, text and behavior log data are firstly preprocessed, then association rules analysis, SO-PMI (Semantic Orientation-Pointwise Mutual Information) and ANN-DL (Artificial Neural Network with Deep Learning) methods are used to learner's interest mining and emotion recognition. The experimental results show that these methods can effectively recognize the emotion of learners in mobile learning and satisfy the requirements of affective education.

引用

页码：685 / 702

页数：18

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