About: Data-mining and the quality of distance-education improvement

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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	Using LMS (Learning Management System) has become a common practice in the universities in which a large number of students are enrolled in particular courses. The LMS systems make it possible to store data that contain pieces of hidden information that may appear to be valuable and yield interesting results. In this paper we introduce the eLogika system and describe data-mining methods that make it possible to make that implicit information explicit. We describe the way of storing those data that are invisible to users but they contain interesting pieces of information on teaching logic, like students’ abilities, typical mistakes and so on. The methods of preprocessing these data are described so that then we can apply data-mining methods in order to improve the quality of teaching process. We focus in particular on association rules and clustering methods. Using LMS (Learning Management System) has become a common practice in the universities in which a large number of students are enrolled in particular courses. The LMS systems make it possible to store data that contain pieces of hidden information that may appear to be valuable and yield interesting results. In this paper we introduce the eLogika system and describe data-mining methods that make it possible to make that implicit information explicit. We describe the way of storing those data that are invisible to users but they contain interesting pieces of information on teaching logic, like students’ abilities, typical mistakes and so on. The methods of preprocessing these data are described so that then we can apply data-mining methods in order to improve the quality of teaching process. We focus in particular on association rules and clustering methods. (en)
Title	Data-mining and the quality of distance-education improvement Data-mining and the quality of distance-education improvement (en)
skos:prefLabel	Data-mining and the quality of distance-education improvement Data-mining and the quality of distance-education improvement (en)
skos:notation	RIV/61989100:27240/13:86086696!RIV14-GA0-27240___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(GAP401/10/0792), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Gerlich, Jakub Menšík, Marek
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
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	67994
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/13:86086696
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	clustering methods; association rules; data-mining (en)
http://linked.open.../riv/klicoveSlovo	clustering methods association rules data-mining
http://linked.open...ontrolniKodProRIV	[70CFE9B1C146]
http://linked.open...v/mistoKonaniAkce	Albena
http://linked.open...i/riv/mistoVydani	Sofia
http://linked.open...i/riv/nazevZdroje	SGEM 2013 : 13th international multidisciplinary scientific geoconference : GeoConference on Ecology, Economics, Education and legislation : 16-22, June, 2013, Albena, Bulgaria : conference proceedings. [Book 5]. Volume I
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Temporal aspects of knowledge and information
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Menšík, Marek Gerlich, Jakub
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-06-16 (xsd:date)
issn	1314-2704
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.5593/SGEM2013/BB2.V1/S07.010
http://purl.org/ne...btex#hasPublisher	STEF92 Technology Ltd.
https://schema.org/isbn	978-619-7105-04-9
http://localhost/t...ganizacniJednotka	27240

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