Acquiring Physiological Data for Automated Educational Feedback In Virtual Learning Environments

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10062330" target="_blank" >RIV/00216208:11320/10:10062330 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Acquiring Physiological Data for Automated Educational Feedback In Virtual Learning Environments
Original language description
The authors present, on the base of their own experiments and large variety of recent studies, the great potential of data, obtained from physiological measurement, for immediate and individualized reaction on the learning process of the learning subjectin virtual learning environments. They emphasized simple, non invasive methods, easily available, for eyes tracking, blink rate and blink speed measurements electrodermal activities , and heart/respiration rate. They highlight the advantages and constraints of different data acquisition approaches and methods (including technical and physiological), as well as constraints, caused by the hardware and software limits, by the necessity of individual setup (often continuous), by the problems with real timedata processing, including wrong data recognition and elimination, etc. Analyzing data of GSR, EEG and eye tracking studies (with sample size of 6, later 8) employing a wide range of cognitive tasks.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AM - Pedagogy and education
OECD FORD branch
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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