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 neuralfuzzy 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.
CITATION STYLE
Cabada, R. Z., Barrón-Estrada, M. L., Alor-Hernández, G., & Reyes-García, C. A. (2014). Emotion recognition in intelligent tutoring systems for android-based mobile devices. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8856, 494–504. https://doi.org/10.1007/978-3-319-13647-9_44
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