Creation of Students' Activities from Learning Management System and their Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F09%3A00021003" target="_blank" >RIV/61989100:27240/09:00021003 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/47813059:19520/09:#0000371

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Creation of Students' Activities from Learning Management System and their Analysis

Popis výsledku v původním jazyce

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, takingtests, 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 bygroups 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

Název v anglickém jazyce

Creation of Students' Activities from Learning Management System and their Analysis

Popis výsledku anglicky

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, takingtests, 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 bygroups 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

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA201%2F09%2F0990" target="_blank" >GA201/09/0990: Zpracování XML dat</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL ASPECTS OF SOCIAL NETWORKS, PROCEEDINGS

ISBN

978-0-7695-3740-5

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

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Název nakladatele

IEEE Computer Society

Místo vydání

Los Alamitos, California

Místo konání akce

Fontainebleau, FRANCE

Datum konání akce

24. 6. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000275189500022