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Analysis of Student Retention and Drop-out using Visual Analytics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00076278" target="_blank" >RIV/00216224:14330/14:00076278 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of Student Retention and Drop-out using Visual Analytics

  • Original language 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 quitebeneficial, there are types of questions that cannot be examined using them. Since the questions involve quantitative relationship other than change through time.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 7th International Conference on Educational Data Mining (EDM 2014)

  • ISBN

    9780983952541

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    331-332

  • Publisher name

    International Educational Data Mining Society

  • Place of publication

    London, United Kingdom

  • Event location

    London, United Kingdom

  • Event date

    Jan 1, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article