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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F10%3A86077667%21RIV11-GA0-27240___
rdf:type
skos:Concept n20:Vysledek
dcterms:description
Goal of this article is to describe relevant data structures that can be used for future adaptation of study materials. This Article provides discussion about three basic e-learning areas of interest. First part describes material structure by adding descriptive attributes and behaviors through Explanation and Tests. Second part is oriented to Student. Student profile, which represents virtualized profile of student requirements, its preferences, actual knowledge, requested knowledge etc., is produced in background In third part there are discussed possibilities of usage of Student objective and subjective response to find optimal explanation for particular student. Last part is oriented to implementation of the knowledge network structure and the model scheme of requested modules. Article discuses benefits of the automatic study material adaptation in opposite to the adaptation based on rules defined by authors. Goal of this article is to describe relevant data structures that can be used for future adaptation of study materials. This Article provides discussion about three basic e-learning areas of interest. First part describes material structure by adding descriptive attributes and behaviors through Explanation and Tests. Second part is oriented to Student. Student profile, which represents virtualized profile of student requirements, its preferences, actual knowledge, requested knowledge etc., is produced in background In third part there are discussed possibilities of usage of Student objective and subjective response to find optimal explanation for particular student. Last part is oriented to implementation of the knowledge network structure and the model scheme of requested modules. Article discuses benefits of the automatic study material adaptation in opposite to the adaptation based on rules defined by authors.
dcterms:title
Dynamic properties of knowledge networks and student profile in e-learning environment Dynamic properties of knowledge networks and student profile in e-learning environment
skos:prefLabel
Dynamic properties of knowledge networks and student profile in e-learning environment Dynamic properties of knowledge networks and student profile in e-learning environment
skos:notation
RIV/61989100:27240/10:86077667!RIV11-GA0-27240___
n5:aktivita
n12:S n12:P
n5:aktivity
P(GAP202/10/0573), S
n5:dodaniDat
n14:2011
n5:domaciTvurceVysledku
n17:9557695 n17:5121736 n17:9618139
n5:druhVysledku
n7:D
n5:duvernostUdaju
n19:S
n5:entitaPredkladatele
n21:predkladatel
n5:idSjednocenehoVysledku
255500
n5:idVysledku
RIV/61989100:27240/10:86077667
n5:jazykVysledku
n8:eng
n5:klicovaSlova
Materials properties; E-learning; Data structures
n5:klicoveSlovo
n15:Materials%20properties n15:E-learning n15:Data%20structures
n5:kontrolniKodProRIV
[FAC3B28DE8C8]
n5:mistoKonaniAkce
Praha
n5:mistoVydani
Praha
n5:nazevZdroje
Networked Digital Technologies (NDT 2010)
n5:obor
n6:IN
n5:pocetDomacichTvurcuVysledku
3
n5:pocetTvurcuVysledku
3
n5:projekt
n9:GAP202%2F10%2F0573
n5:rokUplatneniVysledku
n14:2010
n5:tvurceVysledku
Holub, Libor Radecký, Michal Fasuga, Radoslav
n5:typAkce
n13:WRD
n5:wos
000289449800021
n5:zahajeniAkce
2010-07-07+02:00
s:numberOfPages
12
n10:hasPublisher
Springer Media, s.r.o
n18:isbn
978-3-642-14291-8
n11:organizacniJednotka
27240