Desenhar e implementar um sistema de learning analytics no ensino superior

Sérgio André Ferreira, António Andrade

Research output: Contribution to journalArticlepeer-review

Abstract

The use of technology platforms based on online operating, amongst which we can highlight the Learning Content Management System (LCMS), has gained increasing importance in Higher Education Institutions (HEIs). From the activity of students and teachers on these platforms results a huge trail of clicks which is translated into a huge volume of data -Big Data –in the system. The idea of Learning Analytics (LA) is simple and is associated with a very high potential to transform: the use of this data may allow a more informed process of making decisions, opening the door to a new model in the management of HEIs in the fields of teaching and organizational efficiency. However, the approach to the theme of LA is in its infancy and its effective operationalization requires responses to major challenges in technology, education and policies. This study fits into this context. At Universidade Católica Portuguesa –Porto there is an ongoing development of an LA system fed with data from the institutional LCMS -Blackboard -which aims to position each course (UC) and faculty in a matrix with five levels of integration of LCMS in the teaching and learning process. The matrix was built based on international models and the functionality offered by LCMS was taken into consideration. To meet the requirements of this matrix, all the backoffice of the system of data extraction and analysis in the LCMS was drawn up. Additionally, we developed and validated a scale that covers the same dimensions, to gauge students' opinions on the importance and integration of the LCMS in their process of teaching and learning. After completing the construction of this LA the goal is to articulate this information with the learning results of students (Academic Management System) and the evaluation of teachers / subjects (SIGIQ) -taking steps in building an Academic Analytics.
Original languagePortuguese
Pages (from-to)123-146
Number of pages24
JournalGestão e Desenvolvimento
Issue number21
DOIs
Publication statusPublished - 1 Jan 2013

Keywords

  • Learning content management system
  • Learning analytics

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