Attention is one of the most widely misused and overgeneralized
constructs found in the educational, learning, instructional, and psychological
sciences. It would be convenient for teachers if they could grasp the attentiveness
states of learners in their classes precisely so that they could try to improve
the way to deliver the course material in a manner that could attract more learners.
When students are doing learning activities using the news technologies is
very hard for the teacher detected if each student her/his level of attentiveness.
Furthermore, different student learn in different ways, each one preferring a different
learning style. This paper presents an experience using different learning
styles with a system that monitoring attention, with the aim of providing a nonintrusive
and non-invasive way, reliable and easy tool that can be used freely in
schools, without changing or interfering with the established working routines.
Specifically, we look at desk students in learning activities, in which the student
spends long time interacting with the computer.This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and
FCT – Fundação para a Ciência e Tecnologia within the Project Scope:
UID/CEC/00319/2013.info:eu-repo/semantics/publishedVersio
