Dataviewer: ferramenta de análise de dados e os seus impactos na Educação 4.0

Abstract

The purpose of this research is to propose a data analysis tool to transform data into useful information for the teaching and learning process, through the use of educational data mining (EDM). Aiming at personalizing the educational context and offering knowledge for making pedagogical decisions in a strategic way, contributing to education 4.0. For this, a review of the literature, discussions with teachers, survey and analysis of requirements was carried out. Throughout the process, the Cross-Industry Standard Process of Data Mining (CRISP-DM) method was used. The results showed that the proposed tool can contribute to education 4.0. Through MDE it is possible to identify the profiles and predict the performance of students, with good reliability, before applying the assessment of the first unit. In addition, through the platform it will be possible to provide knowledge according to the objective of different educational actors, perform diagnostic assessments and assist in the assessment method. With this, it will be possible to create improvements in educational practices that encourage learning, increasing motivation and student retention in subjects.