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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F09%3A00021003%21RIV10-GA0-27240___
rdf:type
n12:Vysledek skos:Concept
dcterms:description
The growth of eLearning systems popularity motivates researchers to study these systems intensively. Users of eLearning systems form social networks through the different activities performed by them (Sending emails, reading study materials, chat, taking tests, etc.). This paper focuses on searching of latent social networks from eLearning systems data. This data consists of students activity records where latent ties among actors are embedded. The social network studied in this paper is represented by groups of students who have similar contacts, and interact in similar social circles, where the interest in performing similar tasks among users determines the groups with similar interactions. Different methods of data clustering analysis were applied to these groups and the findings show the existence of latent ties among the group members. The second part of this paper, focuses on social network visualization. Graphical representation of social network can describe its structure very efficiently. It The growth of eLearning systems popularity motivates researchers to study these systems intensively. Users of eLearning systems form social networks through the different activities performed by them (Sending emails, reading study materials, chat, taking tests, etc.). This paper focuses on searching of latent social networks from eLearning systems data. This data consists of students activity records where latent ties among actors are embedded. The social network studied in this paper is represented by groups of students who have similar contacts, and interact in similar social circles, where the interest in performing similar tasks among users determines the groups with similar interactions. Different methods of data clustering analysis were applied to these groups and the findings show the existence of latent ties among the group members. The second part of this paper, focuses on social network visualization. Graphical representation of social network can describe its structure very efficiently. It
dcterms:title
Creation of Students' Activities from Learning Management System and their Analysis Creation of Students' Activities from Learning Management System and their Analysis
skos:prefLabel
Creation of Students' Activities from Learning Management System and their Analysis Creation of Students' Activities from Learning Management System and their Analysis
skos:notation
RIV/61989100:27240/09:00021003!RIV10-GA0-27240___
n4:aktivita
n10:S n10:P
n4:aktivity
P(GA201/09/0990), S
n4:dodaniDat
n19:2010
n4:domaciTvurceVysledku
n9:9491562 n9:1923099 n9:4347269
n4:druhVysledku
n14:D
n4:duvernostUdaju
n21:S
n4:entitaPredkladatele
n8:predkladatel
n4:idSjednocenehoVysledku
308504
n4:idVysledku
RIV/61989100:27240/09:00021003
n4:jazykVysledku
n15:eng
n4:klicovaSlova
e-learning; network analysis
n4:klicoveSlovo
n18:e-learning n18:network%20analysis
n4:kontrolniKodProRIV
[07CC82071F68]
n4:mistoKonaniAkce
Fontainebleau, FRANCE
n4:mistoVydani
Los Alamitos, California
n4:nazevZdroje
2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL ASPECTS OF SOCIAL NETWORKS, PROCEEDINGS
n4:obor
n7:IN
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
5
n4:projekt
n16:GA201%2F09%2F0990
n4:rokUplatneniVysledku
n19:2009
n4:tvurceVysledku
Snášel, Václav Slaninová, Kateřina Obadi, Gamila Martinovič, Jan Dráždilová, Pavla
n4:typAkce
n13:WRD
n4:wos
000275189500022
n4:zahajeniAkce
2009-06-24+02:00
s:numberOfPages
6
n17:hasPublisher
IEEE Computer Society
n6:isbn
978-0-7695-3740-5
n20:organizacniJednotka
27240