Um Modelo Conceitual para Trabalhar Emoções e Aprendizagem Utilizando Expressões Faciais
Emotions, Learning, Affective Computing
The traditional dichotomy between reason and emotion in Western society, inherited from Descartes' dualistic view of mind and body, contributed little attention to the role of affectivity in learning and other cognitive activities in the last century. However, the work of psychologists and neurologists has highlighted the important role of motivation and affectivity in cognitive activities. The field of Artificial Intelligence that researches about emotion in computers is called Affective Computing, which studies mechanisms for recognizing human emotions or expressing emotions through machines in the human-computer interaction. This work proposes a teaching model based on the student’s emotions and brings them to the center of the teaching process, using their emotions, their profile and learning style. As part of the model, it is also planned the software’s development that uses affective computing concepts to perform the computational support necessary to use the presented proposal.