Mining physiological data for automated educational feedback

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F09%3A10069726" target="_blank" >RIV/00216208:11320/09:10069726 - 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
Mining physiological data for automated educational feedback
Original language description
The authors present, on the base of their own research activities and recent studies, dealing with neurology, educational psychology, cognitive brain science, etc., the great potential of data, obtained from noninvasive 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 physiological monitoring approaches, their advantages as well as constraints, done by (1) the hardware and software limits, (2) by the necessity of individual setup (often continuous), (3) by the problems with real time data processing.
Czech name
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Czech description
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Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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