Application of Bayesian Networks to Assist the Expansion of the Digital Inclusion of Elderly People

This article presents the construction of a bayesian network as a tool to assist an initiative of elderly digital inclusion, accomplished at the Federal University of Santa Catarina, in their nucleus of studies for people of third age that participate in computer science classes in a homogeneous group as for the age group. Detected the need to form people to aid in those classes, students of the own group, denominated multipliers, were identified previously with appropriate profile for the function. That previous identification of elderly knowledge multipliers was accomplished with the aid of a bayesian network, which identifies the characteristics of that profile in the initial moment of the classes.