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Assessing learning engagement based on facial expression recognition in MOOC’s scenario
- Source :
- Multimedia Systems
- Publication Year :
- 2021
- Publisher :
- Springer Berlin Heidelberg, 2021.
-
Abstract
- Online learning has become one of the most important learning styles, yet with the need of supervisors to consistently keep the learners motivated and on-task. Some learners could be supervised by outer factors, and distance learners have to be motivated by themselves. However, online learning engagement is hardly to be assessed by supervisors in real time. With the rapid development of information technology, it is able to remedy the above problem by using intelligent video surveillance techniques. In this paper, we propose a novel framework of learning engagement assessment which introduces facial expression recognition to timely acquire the emotional changes of the learners. Moreover, a new facial expression recognition method is proposed based on domain adaptation, which is suitable for the MOOC scenario. The experiments show the effectiveness of our proposed framework on assessing learners’ learning engagement. The comparisons with the state-of-the-art methods also demonstrate the superiority of our proposed facial emotion recognition method.
- Subjects :
- Domain adaptation
Computer Networks and Communications
Emotional Changes
business.industry
Computer science
Information technology
Cryptography
Online learning assessment
Learning styles
Computer graphics
Learning engagement
Facial expression recognition
Hardware and Architecture
Human–computer interaction
Special Issue Paper
Media Technology
business
Software
CNN
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 14321882 and 09424962
- Database :
- OpenAIRE
- Journal :
- Multimedia Systems
- Accession number :
- edsair.doi.dedup.....1f8265902a8c436094f8fe212bb1bd19