An Intelligent and Affective Tutoring System within a Social Network for Learning Mathematics
| Autor: | M. L. Barrón-Estrada, Ramón Zatarain-Cabada, J. A. Beltrán V., F. L. Cibrian R., Yasmín Hernández Pérez |
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| Rok vydání: | 2012 |
| Předmět: |
Multimedia
Social network Artificial neural network business.industry Computer science Cognition Fuzzy control system computer.software_genre Fuzzy logic Intelligent tutoring system Human–computer interaction ComputingMilieux_COMPUTERSANDEDUCATION Web application business Affective computing computer |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783642346538 IBERAMIA |
| DOI: | 10.1007/978-3-642-34654-5_66 |
| Popis: | In this paper we present an intelligent and affective tutoring system designed and implemented within a social network. The tutoring system evaluates cognitive and affective aspects and applies fuzzy logic to calculate the exercises that are presented to the student. We are using Kohonen neural networks to recognize emotions through faces and voices and multi-attribute utility theory to encourage positive affective states. The social network and the intelligent tutoring system are integrated into a Web application. We present preliminary results with different groups of students using this software tool. |
| Databáze: | OpenAIRE |
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