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

Different Intelligent Approaches for Modeling the Style of Car Driving

Authors: Jose Aguilar, Kristell Aguilar, Danilo Chávez, Jorge Cordero and Eduard Puerto

Abstract:
In this paper, we propose a hierarchical pattern of the style of driving, which is composed of three levels, one to recognize the emotional state, other to recognize the state of the driver, and finally, the last one corresponds to the style of driving. Each level is defined by different types of descriptors, which are perceived in different multi-modal ways (sound, vision, etc.). Additionally, we analyze three techniques to recognize the style of driving, using our hierarchical pattern, one based on fuzzy logic, another based on chronicles (a temporal logic paradigm), and another based on an algorithm that models the functioning of the human neocortex, exploiting the idea of recursivity and learning in the recognition process. We compare the techniques considering the dynamic context where a car driver operates.

Keywords: Hierarchical Patterns, Fuzzy Logic, Chronicles, Dynamic Pattern Recognition, Style of Driving

Link: http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=pKH2LWLdplY%3d&t=1

A Dynamic Recognition Approach of Emotional States for Car Drivers

Authors: Jose Aguilar, Danilo Chavez, and Jorge Cordero

Abstract:
In this paper, we propose a recognition model of emotional state using multi-modal perception, a temporal logic paradigm (in particular, we use chronicles), and dynamical patterns. In this way, our recognition approach is based on chronicles to model the patterns, a definition of the emotions as dynamic patterns, and the idea that they are perceived in a multi-modal way (sound, vision, etc.). In this paper, we present these elements of our approach, and give one example of an application for the recognition of the emotions of the driver of a vehicle.

Keywords: Recognition of emotions, Chronicles, Dynamic patterns recognition

Link: http://link.springer.com/chapter/10.1007/978-3-319-48024-4_13

DOI: 10.1007/978-3-319-48024-4_13