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Visual Analytics for Increasing Efficiency of Higher Education Institutions

Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 183)

Abstract

Higher education institutions have a major interest in increasing the educational quality and its effectiveness. Student retention and graduation levels constitute a particularly important quality measure of their effort. Academic Analytics is the business intelligence term used in academic settings. It especially facilitates creation of actionable intelligence to enhance learning and student success. Exploration and interactive visualization of multivariate data without significant reduction of dimensionality remains a challenge. Visual Analytics tools like Motion Charts show changes over time by presenting animations within two-dimensional space. In this paper, we present the Visual Analytics tool EDAIME intended for exploratory analysis of Academic Analytics. The tool supports various interactive data visualization methods and especially concerns with implementation of enhanced Motion Charts concept adjusted to academic settings. We utilize the capabilities of the tool in order to confirm the hypothesis concerning student retention. We also describe the design and the implementation of the interactive data visualization tool in detail.

Keywords

Academic analytics Animation Motion charts Student retention Visual analytics 

Notes

Acknowledgements

We thank Michal Brandejs and Knowledge Discovery Lab for their assistance. This work has been partially supported by Faculty of Informatics, Masaryk University.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Faculty of Informatics, CSU and KD LabMasaryk UniversityBrnoCzech Republic
  2. 2.Faculty of Informatics, KD LabMasaryk UniversityBrnoCzech Republic

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