Abstract
In this paper, we present a Web-based system aimed at learning basic mathematics. The Web-based system includes different components like a social network for learning, an intelligent tutoring system and an emotion recognizer. We have developed the system with the goal of being accessed from any kind of computer platform and Android-based mobile device. We have also built a neural-fuzzy system for the identification of student emotions and a fuzzy system for tracking student´s pedagogical states. We carried out different experiments with the emotion recognizer where we obtained a success rate of 96%. Furthermore, the system (including the social network and the intelligent tutoring system) was tested with real students and the obtained results were very satisfying.
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Zatarain-Cabada, R., Barrón-Estrada, M.L., Alor-Hernández, G., Reyes-García, C.A. (2014). Emotion Recognition in Intelligent Tutoring Systems for Android-Based Mobile Devices. In: Gelbukh, A., Espinoza, F.C., Galicia-Haro, S.N. (eds) Human-Inspired Computing and Its Applications. MICAI 2014. Lecture Notes in Computer Science(), vol 8856. Springer, Cham. https://doi.org/10.1007/978-3-319-13647-9_44
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DOI: https://doi.org/10.1007/978-3-319-13647-9_44
Publisher Name: Springer, Cham
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