This HTML5 document contains 46 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n19http://purl.org/net/nknouf/ns/bibtex#
n14http://localhost/temp/predkladatel/
n4http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n18http://linked.opendata.cz/ontology/domain/vavai/
n5https://schema.org/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n10http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F61989100%3A27240%2F10%3A86076516%21RIV11-MSM-27240___/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n6http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n16http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n11http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n13http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n7http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F10%3A86076516%21RIV11-MSM-27240___
rdf:type
n18:Vysledek skos:Concept
dcterms:description
Enhancing the the effectiveness of web-based eduction has become one of the most important concerns within both educational engineering and information system fields. The development of information technologies has contributed to the growth in elearning as an important education method. This learning environment enables learners to participate in 'any time, any place' personalized training. It has been known that the application of data mining and computational intelligent approaches can provide better learning environments, and in their effort to participate in this field, the authors introduced this study which consists in its first part of a survey of the applications of data mining and computational intelligence in web based education during (2004- 2009), and the second part is a case study that aims to analyze students' activities performed in a Learning Management System. Enhancing the the effectiveness of web-based eduction has become one of the most important concerns within both educational engineering and information system fields. The development of information technologies has contributed to the growth in elearning as an important education method. This learning environment enables learners to participate in 'any time, any place' personalized training. It has been known that the application of data mining and computational intelligent approaches can provide better learning environments, and in their effort to participate in this field, the authors introduced this study which consists in its first part of a survey of the applications of data mining and computational intelligence in web based education during (2004- 2009), and the second part is a case study that aims to analyze students' activities performed in a Learning Management System.
dcterms:title
Computational intelligence methods for data analysis and mining of eLearning activities Computational intelligence methods for data analysis and mining of eLearning activities
skos:prefLabel
Computational intelligence methods for data analysis and mining of eLearning activities Computational intelligence methods for data analysis and mining of eLearning activities
skos:notation
RIV/61989100:27240/10:86076516!RIV11-MSM-27240___
n3:aktivita
n11:S
n3:aktivity
S
n3:dodaniDat
n7:2011
n3:domaciTvurceVysledku
n4:1923099 n4:9491562 Obadi, Gamila Ahmed n4:4347269
n3:druhVysledku
n15:C
n3:duvernostUdaju
n9:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
251717
n3:idVysledku
RIV/61989100:27240/10:86076516
n3:jazykVysledku
n16:eng
n3:klicovaSlova
elearning, data analysis, social network, learning management system
n3:klicoveSlovo
n6:social%20network n6:data%20analysis n6:elearning n6:learning%20management%20system
n3:kontrolniKodProRIV
[F8EC76E24233]
n3:mistoVydani
Berlín
n3:nazevEdiceCisloSvazku
Studies in Computational Intelligence, 273
n3:nazevZdroje
Computational Intelligence for Technology Enhanced Learning
n3:obor
n13:IN
n3:pocetDomacichTvurcuVysledku
4
n3:pocetStranKnihy
264
n3:pocetTvurcuVysledku
6
n3:rokUplatneniVysledku
n7:2010
n3:tvurceVysledku
Obadi, Gamila Ahmed Dráždilová, Pavla Slaninová, Kateřina Al-Dubaee, Shawki Snášel, Václav Martinovič, Jan
s:numberOfPages
29
n19:hasPublisher
Springer Heidelberg
n5:isbn
978-3-642-11223-2
n14:organizacniJednotka
27240