The amount of available educational data is growing and the educational institutions try to organize and understand large complex datasets. Since these big data are an emerging field of study, there is no simple solution to process or analyze them. This paper aims to provide a model approach to process big educational data from the Moodle system in the cloud using the Apache Hadoop cluster. An experimental implementation of the proposed model approach is included to validate this solution. The results then suggest that the proposed model approach has a potential to be widely used for the processing of big educational data, especially with user interaction data.

Published in: International Conference on Information Society (i-Society 2016)

  • Date of Conference: 10-13 October 2016
  • DOI: 10.2053/iSociety.2016.0007
  • ISBN: 978-1-908320-62-9
  • Conference Location: Dublin, Ireland