Chapter

Methods and Supporting Technologies for Data Analysis

Volume 225 of the series Studies in Computational Intelligence pp 1-20

Data Warehouse Technology for E-Learning

  • Marta E. ZorrillaAffiliated withDepartment of Mathematics, Statistics and Computation, University of Cantabria.

* Final gross prices may vary according to local VAT.

Get Access

Abstract

E-Learning platforms are gaining popularity and relevance among organizations such as global enterprises, open and distance universities and research institutes. But regrettably these platforms present yet unsolved problems. One of these is that instructors cannot guarantee the success of the learning process because they lack tools with which monitor, assess and measure the performance of students in their virtual courses. Therefore, it is necessary to develop specific tools that help professors to do their work suitably. In this chapter, we show that data warehouse and OLAP technologies are the most suitable ones to build this software application. Likewise we explain the steps for its implementation from its conception up to the user interface development. Lastly, we summarize our experience in the design and implementation of MATEP,Monitoring and Analysis Tool for E-learning Platforms, which is a tool built in the University of Cantabria.