Motivation and disengagement of online students in remote laboratories

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10318384" target="_blank" >RIV/00216208:11320/15:10318384 - 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

Motivation and disengagement of online students in remote laboratories

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 E-learning 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 log files from Open Remote Laboratory at Charles University in Prague, Faculty of Mathematics and Physics, to observe students' behaviour during their work in virtual environment (spring 2011). Log files analysis and simple data mining and text mining techniques were used to reveal individual user's behavioural patterns and to detect disengagement and its reasons. The results were used m

Název v anglickém jazyce

Motivation and disengagement of online students in remote laboratories

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 E-learning 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 log files from Open Remote Laboratory at Charles University in Prague, Faculty of Mathematics and Physics, to observe students' behaviour during their work in virtual environment (spring 2011). Log files analysis and simple data mining and text mining techniques were used to reveal individual user's behavioural patterns and to detect disengagement and its reasons. The results were used m

Druh

O - Ostatní výsledky

CEP obor

AM - Pedagogika a školství

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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