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CVLA: Integrating Multiple Analytics Techniques in a Custom Moodle Report

  • Bogdan DrăgulescuEmail author
  • Marian Bucos
  • Radu Vasiu
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 538)

Abstract

Increased usage of information technologies in educational tasks resulted in a high volume of data that can be exploited to offer practical insight in the learning process. In this paper, we proposed a system architecture of integrating learning analytics techniques into an educational platform. To test the approach, three analysis scenarios were implemented into a custom report for our educational platform built on Moodle. The implementation steps with chosen solutions are discussed. The significance of this research lies in the potential of this approach to build analytics systems that can use multiple data sets and analytics techniques.

Keywords

Learning analytics Sna Machine learning Moodle 

Notes

Acknowledgements

This work was partially supported by the strategic grant POSDRU/159/1.5/S/137070 (2014) of the Ministry of National Education, Romania, co-financed by the European Social Fund – Investing in People, within the Sectoral Operational Programme Human Resources Development 2007-2013.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Politehnica University TimișoaraTimișoaraRomânia

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