Title :
Fermat: Merging Affective Tutoring Systems with Learning Social Networks
Author :
Cabada, Ramón Zatarain ; Estrada, María Lucía Barrón ; Beltr´n, J.A. ; Cibrian R, F.L. ; García, Carlos Alberto Reyes ; Pérez, Yasmín Hernández
Author_Institution :
Inst. Tecnol. de Culiacan, Culiacan, Mexico
Abstract :
We present Fermat, an Intelligent Social Network for Mathematics Learning, which integrates an Intelligent Tutoring System as an extra feature to help students to improve the teaching and learning process. The intelligent tutor takes into account both cognitive and affective aspects. The social network and the affective tutoring systems are accessed from the web. Initial results in math show the benefits of using the tutoring system besides the all-known benefits of using a social network as the user interface.
Keywords :
intelligent tutoring systems; mathematics computing; social networking (online); user interfaces; Fermat; affective aspects; affective tutoring systems; cognitive aspects; intelligent social network; intelligent tutoring system; learning social networks; math show; mathematics learning; user interface; Artificial intelligence; Emotion recognition; Face recognition; Humans; Sensors; Social network services; XML; Affective Computing; Intelligent Tutoring Systems; Social Network; Student Affect;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-1642-2
DOI :
10.1109/ICALT.2012.140
