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WorldCist'18 - 6th World Conference on Information Systems and Technologies

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Facial Emotion Detection in Massive Open Online Courses

Recently, the Massive Open Online Course (MOOC) is appeared as a new emerging method of online teaching with the advantages of low cost and unlimited participation as well as open access via the web. However, the use of facial emotion detection in MOOC is still unexplored and challenging. In this paper, we propose a new innovative approach for facial emotion detection in MOOCs, which provides an adaptive learning content based on students’ emotional states and their profiles. Our approach is based on three principles: (i) modeling the learner using the MOOC (ii) using of pedagogical agents during the learning activities (iii) capturing and interpreting the facial emotion of the students. The proposed approach was implemented and tested in a case study on the MOOC.

Mohamed Soltani
LIM Research, Department of Computer Science, University of Souk Ahras, Souk Ahras, 41000 Algeria.
Algeria

Hafed Zarzour
LIM Research, Department of Computer Science, University of Souk Ahras, Souk Ahras, 41000 Algeria.
Algeria

Mohamed Chaouki Babahenini
Mohamed Khider University, Biskra
Algeria

 

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