DETECTING DISENGAGEMENT OF ONLINE STUDENTS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10287154" target="_blank" >RIV/00216208:11320/14:10287154 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11140/14:10287154

Výsledek na webu

<a href="http://www.csvs.cz/konference/disco2014/Disco2014-sbornik.pdf" target="_blank" >http://www.csvs.cz/konference/disco2014/Disco2014-sbornik.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

DETECTING DISENGAGEMENT OF ONLINE STUDENTS

Popis výsledku v původním jazyce

To achieve effective learning, motivational aspects like engagement play a very important role. Within online learning applications the disengagement detection and prediction based on real data (not always in real time) is becoming more and more popularamong educational specialists. Many Elearning systems, and virtual or remote learning environments, could be improved by tracking students' disengagement that, in turn, would allow personalized interventions at appropriate times in order to re-engage students. The present article describes the results of a medium-scale (number of students N = 56) study, using log files from Open Remote Laboratory at Charles University in Prague, Faculty of Mathematics and Physics, to observe students' behavior during their work in virtual environment. Simple data mining and text mining techniques were used to reveal individual user's behavioral patterns and to detect disengagement. The results will be used mainly to improve the systems' adaptability to

Název v anglickém jazyce

DETECTING DISENGAGEMENT OF ONLINE STUDENTS

Popis výsledku anglicky

To achieve effective learning, motivational aspects like engagement play a very important role. Within online learning applications the disengagement detection and prediction based on real data (not always in real time) is becoming more and more popularamong educational specialists. Many Elearning systems, and virtual or remote learning environments, could be improved by tracking students' disengagement that, in turn, would allow personalized interventions at appropriate times in order to re-engage students. The present article describes the results of a medium-scale (number of students N = 56) study, using log files from Open Remote Laboratory at Charles University in Prague, Faculty of Mathematics and Physics, to observe students' behavior during their work in virtual environment. Simple data mining and text mining techniques were used to reveal individual user's behavioral patterns and to detect disengagement. The results will be used mainly to improve the systems' adaptability to

Druh

D - Stať ve sborníku

CEP obor

AM - Pedagogika a školství

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

DISCO 2014. Media literacy education from pupils to lifelong learning

ISBN

978-80-86302-46-1

ISSN

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e-ISSN

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Počet stran výsledku

12

Strana od-do

134-145

Název nakladatele

Center for Higher Education Studies

Místo vydání

Prague

Místo konání akce

Praha, Czech Republic

Datum konání akce

23. 6. 2014

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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