DaVID — A Model of Data Visualization for the Instructional Design

The quality of distance learning courses is determined by the proper organization of the teaching material and methodology. However, it should be taken into account, among other factors, the history of successes and failures of previous achievements of a course, as well as the profile of the new classes of students. This work proposes a data visualization model based on the Learning Analytics of a course, that allows the teacher to incorporate improvements in new editions of the course based on previous editions of the same. The model also applies to the monitoring the progress of the students at runtime of a course and identify possible problems in the instruction design, witch can be adapted dynamically.