About: Computational intelligence methods for data analysis and mining of eLearning activities

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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. (en)
Title	Computational intelligence methods for data analysis and mining of eLearning activities Computational intelligence methods for data analysis and mining of eLearning activities (en)
skos:prefLabel	Computational intelligence methods for data analysis and mining of eLearning activities Computational intelligence methods for data analysis and mining of eLearning activities (en)
skos:notation	RIV/61989100:27240/10:86076516!RIV11-MSM-27240___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Snášel, Václav Dráždilová, Pavla Martinovič, Jan Obadi, Gamila Ahmed
http://linked.open.../riv/druhVysledku	C - Kapitola v knize
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	251717
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/10:86076516
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	elearning, data analysis, social network, learning management system (en)
http://linked.open.../riv/klicoveSlovo	social network data analysis learning management system elearning
http://linked.open...ontrolniKodProRIV	[F8EC76E24233]
http://linked.open...i/riv/mistoVydani	Berlín
http://linked.open...vEdiceCisloSvazku	Studies in Computational Intelligence, 273
http://linked.open...i/riv/nazevZdroje	Computational Intelligence for Technology Enhanced Learning
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...v/pocetStranKnihy	264 (xsd:int)
http://linked.open...cetTvurcuVysledku	6 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Dráždilová, Pavla Martinovič, Jan Snášel, Václav Slaninová, Kateřina Obadi, Gamila Ahmed Al-Dubaee, Shawki
number of pages	29 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer Heidelberg
https://schema.org/isbn	978-3-642-11223-2
http://localhost/t...ganizacniJednotka	27240
is http://linked.open...avai/riv/vysledek of	Computational intelligence methods for data analysis and mining of eLearning activities Computational intelligence methods for data analysis and mining of eLearning activities Computational intelligence methods for data analysis and mining of eLearning activities

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