Analysis of learning styles for adaptive E-learning

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86080800" target="_blank" >RIV/61989100:27240/11:86080800 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-22389-1_33" target="_blank" >http://dx.doi.org/10.1007/978-3-642-22389-1_33</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-22389-1_33" target="_blank" >10.1007/978-3-642-22389-1_33</a>

Result language
angličtina
Original language name
Analysis of learning styles for adaptive E-learning
Original language description
In adaptive e-learning we try to make learning more efficient by adapting the process of learning to students' individual needs. To make this adaptation possible, we need to know key students characteristics - his motivation, group learning preferences,sensual type and various learning styles. One of the easiest ways to measure these characteristics is to use questionnaires. New questionnaire was created because there was no questionnaire to measure all these characteristics at once. This questionnairewas filled by 500 students from different fields of study. These results were analyzed using clustering, decision tree and principal component analysis. Several interesting dependencies between students' properties were discovered using this analysis.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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