Visualização de dados como suporte ao design instrucional.

Abstract

The use of virtual learning environments is becoming more frequent, and often the data that are generated in these environments are not properly exploited, which makes it difficult to generate quality indicators of training programs. The quality of learning in these settings is determined by an appropriate organization of the material and forms of instruction. In order to do so, it should be taken into account, among other factors, the history of successes and failures of previous achievements of the disciplines to be offered and the specific profile of a new class of students. Adequate treatment of these data can show important indicators about a class’s performance, such as the level of commitment and motivation of the students, factors that can directly influence the learning process. These data can be used by specialists to be displayed as a summary in the form of ade- quate graphical visualizations, allowing a fast interpretation and perception of important indications of a course and its students. It helps to understand a set of data, facilitate the analysis of the generated data, to increase the cognition and the understanding of the presented information. This thesis presents a proposal for the visualization of educatio- nal data, in which the objective is to analyze how the visualization of data can help the teacher to identify and adapt a problematic Instructional Design, through historical data of courses already carried out, and during the realization of a new edition of the course, assisting the teacher in improving the Instructional Design of a course / discipline.