Towards identifying emotional human behavior in online classes: first steps : Human emotional behavior in a virtual class

Abstract

Emotional management is very important in face-to-face classes, in fact, it is the very basis of learning. However, there is still no clear answer to what happens when classes are online or on Moocs, referring to emotional reactions. In this work we present an initial proposal that allows obtaining the emotional behavior of the student when observing a class. The proposed methodology allows identifying the emotions on the face, grouping them, and then sending them to the ontological reasoner. Few methodological tests have been developed, but we hope that the proposal is valid and conclusive