A Real-Time Learning Analytics Dashboard for Automatic Detection of Online Learners’ Affective States

A Real-Time Learning Analytics Dashboard for Automatic Detection of Online Learners’ Affective States

Students’ affective states describe their engagement, concentration, attitude, motivation, happiness, sadness, frustration, off-task behavior, and confusion level in learning. In online learning, students’ affective states are determinative of the learning quality. However, measuring various affecti...

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Bibliographic Details
Main Authors: Akçapınar, G. (Author), Bui, H.T.T (Author), Hasnine, M.N (Author), Nguyen, H.T (Author), Tran, T.T.T (Author), Ueda, H. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Affective state
Affective state detection
affective states detection
AI in education
dashboard
Dashboard
distance learning
Education, Distance
E-learning
emotion
Emotion
Emotions
human
Humans
Laptop computers
learning
Learning
Learning analytic framework
learning analytics framework
Learning systems
Lecture video
Lecture video analyse
lecture video analysis
motivation
Motivation
Real- time
student
Students
Video analysis
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