Towards Academic Analytics by Means of Motion Charts

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00076276" target="_blank" >RIV/00216224:14330/14:00076276 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/book/10.1007/978-3-319-11200-8" target="_blank" >http://link.springer.com/book/10.1007/978-3-319-11200-8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-11200-8_47" target="_blank" >10.1007/978-3-319-11200-8_47</a>

Result language
angličtina
Original language name
Towards Academic Analytics by Means of Motion Charts
Original language description
In the EDAIME tool, we enhanced the MC concept and expanded it to be more suitable for AA. We also developed the rich user interface with impressive selection of features which provide a quick, convenient, and visually appealing way to identify potentialcorrelations between different variables. The complexity of underlying data to be analyzed is reduced by the analyst's ability to control how the data is mapped to MC variables and displayed in the EDAIME tool. Among other, analysts can interact with the charts by refining chart criteria and clarify analyses of the relationship between variables.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 9th European Conference on Technology Enhanced Learning (EC-TEL 2014)
ISBN
9783319111995
ISSN
0302-9743
e-ISSN
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Number of pages
4
Pages from-to
486-489
Publisher name
Springer International Publishing
Place of publication
Graz, Austria
Event location
Graz, Austria
Event date
Jan 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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