Caracterização de Alunos em Ambientes de Ensino Online: Estendendo o Uso da DAMICORE para Minerar Dados Educacionais.

Abstract

With the popularization of the use of technological resources in education, a bigger amount of data related to the interactions between students and these resources has been stored. Analyzing this data in order to characterize these students is a very important task. In this work, partial results of a master degree's research, from educational data mining techniques, are presented, identifying relevant behaviors of students who interacted with an educational web system. These results indicate that these techniques can help teachers to preview the performance of their students to facilitate a future development of a tool that assists this task for teachers.