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Description
  • In the paper, we have described the motivation and design of the VA tool EDAIME which is intended for exploratory analysis of educational data. We enhanced the concept of Motion Charts and successfully expanded it to be more suitable for such analyses. We have successfully employed it to verify the suggested hypothesis. A further in-depth analysis with different mapping of variables is needed to quantify the correlations more accurately. Despite the fact that common data visualization methods are quite beneficial, there are types of questions that cannot be examined using them. Since the questions involve quantitative relationship other than change through time.
  • In the paper, we have described the motivation and design of the VA tool EDAIME which is intended for exploratory analysis of educational data. We enhanced the concept of Motion Charts and successfully expanded it to be more suitable for such analyses. We have successfully employed it to verify the suggested hypothesis. A further in-depth analysis with different mapping of variables is needed to quantify the correlations more accurately. Despite the fact that common data visualization methods are quite beneficial, there are types of questions that cannot be examined using them. Since the questions involve quantitative relationship other than change through time. (en)
Title
  • Analysis of Student Retention and Drop-out using Visual Analytics
  • Analysis of Student Retention and Drop-out using Visual Analytics (en)
skos:prefLabel
  • Analysis of Student Retention and Drop-out using Visual Analytics
  • Analysis of Student Retention and Drop-out using Visual Analytics (en)
skos:notation
  • RIV/00216224:14330/14:00076278!RIV15-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 2776
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/14:00076278
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • student retention; student drop-out; visual analytics; motion charts; animation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [ABE00AD786F2]
http://linked.open...v/mistoKonaniAkce
  • London, United Kingdom
http://linked.open...i/riv/mistoVydani
  • London, United Kingdom
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 7th International Conference on Educational Data Mining (EDM 2014)
http://linked.open...in/vavai/riv/obor
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http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Géryk, Jan
  • Popelínský, Lubomír
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • International Educational Data Mining Society
https://schema.org/isbn
  • 9780983952541
http://localhost/t...ganizacniJednotka
  • 14330
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