Analysis of Student Retention and Drop-out using Visual Analytics

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of Student Retention and Drop-out using Visual Analytics

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Analysis of Student Retention and Drop-out using Visual Analytics

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

9780983952541

ISSN

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e-ISSN

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Počet stran výsledku

2

Strana od-do

331-332

Název nakladatele

International Educational Data Mining Society

Místo vydání

London, United Kingdom

Místo konání akce

London, United Kingdom

Datum konání akce

1. 1. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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