Learning analytics, dashboard for academic trajectory

Abstract

© 2019 CEUR-WS. All rights reserved. In the context of university academic management, several proposals have been developed for the study of analysis and visualization of learning trajectories. Bearing in mind that the educational trajectory is the trajectory of the student traveled at a given time from entry to the end of the stay, it can be considered that the use of technology could extract or highlight relevant information that is not seen directly with the tools traditional The visualization of data in educational environments has become a challenge due to the large amounts of information available. The responsibilities of educational administrators require a clear visual proposal adapted to queries based on an academic context. Therefore, it was proposed to generate a tool that generates dashboard based on relevant variables of the students. To do this, the proposal began with a review of the literature that helped analyze the different ways of visualizing the data of academic trajectories. Subsequently, a dynamic visualization was formulated to explain the teachers and authorities through the learning analysis panel, based on the use of parallel coordinates that present multidimensional data over time. The sample was constituted by records of 1975 students of an Ecuadorian university, of the cohort that began in March 2013, distributed by faculties and careers. The technique used allowed us to discover trends and relationships between dimensions, improving the understanding of the trajectory patterns of students, the trends of school dropout, either increase or decrease performance, among other relationships. The consultations allowed to filter data by variables such as: faculties, careers, students and intervals of scores. Finally, the validation of the proposal was made based on the relevance of the dashboard, in response to the inquiries of the academic manager.