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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F11%3A86079568%21RIV12-MSM-27240___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
In this paper we introduce two e-learning systems, namely eLogika and (LMS) ORGANON. Both systems are apt for teaching logic and should improve the quality of the teaching. The ORGANON system is primarily aimed at solving tasks and practicing logical formalisms by means of interactive exercises. The eLogika system is intended to support effective automated testing of students’ knowledge together with automatic generation of suitable exam tests. We also describe the application of data-mining methods which can contribute to the improvement of e-learning systems by adjusting particular tests in accordance with students’ capabilities and needs. In this paper we introduce two e-learning systems, namely eLogika and (LMS) ORGANON. Both systems are apt for teaching logic and should improve the quality of the teaching. The ORGANON system is primarily aimed at solving tasks and practicing logical formalisms by means of interactive exercises. The eLogika system is intended to support effective automated testing of students’ knowledge together with automatic generation of suitable exam tests. We also describe the application of data-mining methods which can contribute to the improvement of e-learning systems by adjusting particular tests in accordance with students’ capabilities and needs.
dcterms:title
E-learning support for logic education E-learning support for logic education
skos:prefLabel
E-learning support for logic education E-learning support for logic education
skos:notation
RIV/61989100:27240/11:86079568!RIV12-MSM-27240___
n14:predkladatel
n15:orjk%3A27240
n4:aktivita
n11:S
n4:aktivity
S
n4:cisloPeriodika
1
n4:dodaniDat
n17:2012
n4:domaciTvurceVysledku
n19:9530614 n19:1485806 n19:3439151
n4:druhVysledku
n12:J
n4:duvernostUdaju
n16:S
n4:entitaPredkladatele
n6:predkladatel
n4:idSjednocenehoVysledku
196965
n4:idVysledku
RIV/61989100:27240/11:86079568
n4:jazykVysledku
n8:eng
n4:klicovaSlova
test rating; data-mining; e-learning; teaching; Logic
n4:klicoveSlovo
n5:teaching n5:Logic n5:e-learning n5:test%20rating n5:data-mining
n4:kodStatuVydavatele
DE - Spolková republika Německo
n4:kontrolniKodProRIV
[E0092B4FDCD0]
n4:nazevZdroje
Communications in Computer and Information Science
n4:obor
n9:IN
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
4
n4:rokUplatneniVysledku
n17:2011
n4:svazekPeriodika
194
n4:tvurceVysledku
Číhalová, Martina Menšík, Marek Duží, Marie Dostálová, Ludmila
s:issn
1865-0929
s:numberOfPages
9
n18:doi
10.1007/978-3-642-22603-8_49
n13:organizacniJednotka
27240