Using Spectral Clustering for Finding Student's Patterns of Behavior in Social Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86077715" target="_blank" >RIV/61989100:27240/10:86077715 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Using Spectral Clustering for Finding Student's Patterns of Behavior in Social Networks

Popis výsledku v původním jazyce

The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon, a number of methods and techniques were developed. Spectral clustering is a data mining method used in many applications; in this paper we used this method to find students? behavioral patterns performed in an elearning system. In addition, a software was introduced to allow the user (tutor or researcher) to define the data dimensionsand input values to obtain ppropriate graphs with behavioral pattens that meet his/her needs. Behavioral patterns were compared with students? study performance and evaluation with relation to their possible usage in collaborative learning.

Název v anglickém jazyce

Using Spectral Clustering for Finding Student's Patterns of Behavior in Social Networks

Popis výsledku anglicky

The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon, a number of methods and techniques were developed. Spectral clustering is a data mining method used in many applications; in this paper we used this method to find students? behavioral patterns performed in an elearning system. In addition, a software was introduced to allow the user (tutor or researcher) to define the data dimensionsand input values to obtain ppropriate graphs with behavioral pattens that meet his/her needs. Behavioral patterns were compared with students? study performance and evaluation with relation to their possible usage in collaborative learning.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název statě ve sborníku

CEUR Workshop Proceedings. Volume 567

ISBN

978-80-7378-116-3

ISSN

1613-0073

e-ISSN

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Počet stran výsledku

13

Strana od-do

118-130

Název nakladatele

MATFYZPRESS

Místo vydání

Praha

Místo konání akce

Stedronin-Plazy, Czech Republic

Datum konání akce

21. 4. 2010

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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