Regresar

Approaches to identify student learning styles through emotions in a classroom

Abstract:

In this article, we propose a model of trust and reputation, for the management of emotions in a Smart Classroom (SaCI). In general, a SaCI can model its different hardware and software components as agents. On the other hand, in intelligent environments modeled with agents, it is necessary to define the interaction mechanisms used in conversations between agents. In addition, the conversations should be enriched with models of trust and reputation of the agents involved in them, so that each agent can decide what information coming from the different agents, to consider when executing their decision-making processes. In particular, this paper defines models of trust and reputation for the SaCI agents. These models are used in a conversation that performs the management of emotions in SaCI, which allows to define the emotion that prevails at a given moment in it, which we call social emotion. The conversation is tested in several cases of study, in order to validate its ability to establish the social emotion of SaCI. The experimental results with the emotion management system based on models of trust and reputation, demonstrate that it is able to determine the social emotion in SaCI regardless of the characteristics of its context and learning from the behavior of agents, which gives it great robustness.