Approaches to identify student learning styles through emotions in a classroom

Sistema de Gestión de las emociones en un salón de clases inteligente basado en Modelos de confianza y reputación

Authors: J Cordero, J Aguilar, K Aguilar, M Martinez

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.

Keywords: trust model, reputation model, emotion management, social emotion, smart classroom, multiagent systems.

Link: https://www.proquest.com/openview/f74b61fb8680f9b19d07dd2417468366/1?pq-origsite=gscholar&cbl=1006393 

Intelligent Approaches to identify Student Learning Styles through Emotions in a Classroom

Enfoques Inteligentes para Identificar Estilos de Aprendizaje de los estudiantes mediante las Emociones en un salón de clases
Authors: J Cordero, J Aguilar, K Aguilar

Abstract:

In this article, a hierarchical pattern is proposed to identify the learning style of students in a classroom, which is composed of two levels, one to recognize the emotional state, and another to identify the learning style. Each level is defined by different types of descriptors, which are perceived from a multimodal approach. In addition, using the hierarchical pattern, two approaches are analyzed to model the learning style, which can be visual, auditory, reading/writing, kinesthetic. One of the approaches is based on fuzzy logic, and another based on chronicles, which exploit the idea of recursion and learning in the recognition process. Finally, considering the dynamic environment of a classroom, the approaches are compared, in terms of their abilities to learn and to determine the learning styles; and to communicate that information clearly in a smart classroom, based on the recognized emotions.

Keywords: Hierarchical patterns, learning style, emotion recognition, fuzzy logic, chronicles, dynamic pattern recognition.

Link: https://www.proquest.com/openview/6cd1e500aef16382c3c439403a9a06c1/1?pq-origsite=gscholar&cbl=1006393