Affective e-Learning: Using “Emotional” Data to Improve Learning in Pervasive Learning Environment

Using emotion detection technologies from biophysical signals, this study explored how emotion evolves during learning process and how emotion feedback could be used to improve learning experiences. This article also described a cutting-edge pervasive e-Learning platform used in a Shanghai online co...

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Bibliographic Details
Published in:Educational technology & society 2009-04, Vol.12 (2), p.176-189
Main Authors: Shen, Liping, Wang, Minjuan, Shen, Ruimin
Format: Article
Language:English
Subjects:
Affective Behavior
Affective Measures
Analysis
China (Shanghai)
Cognitive models
College Students
Computer Assisted Instruction
Computer Software
Computer System Design
Datasets
Detectors
Distance learning
Educational aspects
Educational Environment
Educational Technology
Electronic Learning
Emotion
Emotion recognition
Emotional Experience
Emotional expression
Emotional Response
Emotional states
Emotions
Experiential learning
Feedback (Response)
Foreign Countries
Full Length Articles
Instructional Effectiveness
Instructional Improvement
Instructional Materials
Learner engagement
Learning
Learning Experience
Learning Processes
Online education
Online instruction
Psychological aspects
Psychological Patterns
School environment
Signal processing
Student Attitudes
Students
Ubiquitous computing
Virtual Universities
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