Abstract
Most students experience learning difficulties in various points during their school years. When new contents are presented the reactions can be different depending on the individual characteristics. In this paper we present an architecture that intends to combine agent technology with computational models of personality and emotion, within an ubiquitous learning system that is able to support the learning process among a group of students coordinated by an instructor.
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Marreiros, G., Santos, R., Ramos, C. (2010). GLSS – Group Learning in Shared Spaces Considering Aspects Like Emotion and Personality. In: Augusto, J.C., Corchado, J.M., Novais, P., Analide, C. (eds) Ambient Intelligence and Future Trends-International Symposium on Ambient Intelligence (ISAmI 2010). Advances in Soft Computing, vol 72. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13268-1_5
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DOI: https://doi.org/10.1007/978-3-642-13268-1_5
Publisher Name: Springer, Berlin, Heidelberg
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