Mining physiological data for automated educational feedback - new attitude to learning in virtual environments

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F09%3A10069725" target="_blank" >RIV/00216208:11320/09:10069725 - 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

Mining physiological data for automated educational feedback - new attitude to learning in virtual environments

Popis výsledku v původním jazyce

The authors present, on the base of recent studies, the great potential of data, obtained from physiological measurement, for immediate and individualized reaction on the learning process of the learning subject. They emphasized electrodermal activities(e.g. galvanic skin response) measurements, eyes tracking, blink rate and blink speed measurements, and heart rate (esp. EEG), for their potential to reflect decreasing attention, increasing visual or cognitive information load, task difficulty, tension,arousal, stress and fatigue of the learning subject. The present paper highlights the advantages and constraints of different data acquisition approaches and methods (including technical and physiological), as well as constraints, done by the hardware and software limits, by the necessity of individual setup (often continuous), by the problems with real time data processing, including wrong data recognition and elimination, etc. Analyzing data of GSR, EEG and eye tracking studies.

Název v anglickém jazyce

Mining physiological data for automated educational feedback - new attitude to learning in virtual environments

Popis výsledku anglicky

The authors present, on the base of recent studies, the great potential of data, obtained from physiological measurement, for immediate and individualized reaction on the learning process of the learning subject. They emphasized electrodermal activities(e.g. galvanic skin response) measurements, eyes tracking, blink rate and blink speed measurements, and heart rate (esp. EEG), for their potential to reflect decreasing attention, increasing visual or cognitive information load, task difficulty, tension,arousal, stress and fatigue of the learning subject. The present paper highlights the advantages and constraints of different data acquisition approaches and methods (including technical and physiological), as well as constraints, done by the hardware and software limits, by the necessity of individual setup (often continuous), by the problems with real time data processing, including wrong data recognition and elimination, etc. Analyzing data of GSR, EEG and eye tracking studies.

Druh

D - Stať ve sborníku

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

2009

Kód důvěrnosti údajů

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

Název statě ve sborníku

ICETA 2009

ISBN

978-80-8086-089-9

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

116-122

Název nakladatele

Elfa Košice

Místo vydání

Košice, Slovakia

Místo konání akce

Stara Lesna, Slovakia

Datum konání akce

19. 11. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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