Educational Datamining in Virtual Learning Environments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10287099" target="_blank" >RIV/00216208:11320/14:10287099 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Educational Datamining in Virtual Learning Environments
Original language description
The present article describes the results of a medium-scale (N = 77) study, using log files from open remote laboratory at Charles University in Prague, Faculty of Mathematics and Physics, to observe students' behavior during their work in virtual environment. Simple data mining and text mining techniques were used to reveal individual user's behavioral patterns, to detect disengagement, and to compare learning outcomes and student preferences.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AM - Pedagogy and education
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Advanced Corporate Learning (iJAC).
ISSN
1867-5565
e-ISSN
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Volume of the periodical
1
Issue of the periodical within the volume
7
Country of publishing house
AT - AUSTRIA
Number of pages
4
Pages from-to
39-42
UT code for WoS article
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EID of the result in the Scopus database
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