DATAVIEW: Data Analysis Tool and its Impacts on Education 4.0
Education 4.0, Educational Data Mining, Data Science
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, the ideation process of the platform began, being carried out based on the literature
review and meetings with teachers. Then, the requirements gathering process began, being materialized through prototyping and beginning the implementation of the solution. 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, allow optimization of time for documents and assist in the assessment method, especially if it is continuous. With this, it will be possible to create
improvements in educational practices that encourage the achievement, motivation and retention of students in the subjects.