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Université du Québec à Montréal|uqam|



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Connecting the educational with the neuroscience in educational neuroscience: Interpreting online psychophysiological measures to uncover the dynamics of affect and cognition in realistic learning settings

Recent technical improvements in brain imaging and other psychophysiological measurement equipment have led to a surge of interest in cognitive and affective neuroscience from applied domains that have traditionally hinged on psychological constructs measured mainly by behavioral methods. In particular, an important gain lies in the ability to measure a phenomenon unobtrusively at a frequency corresponding to its rate of change. The interdisciplinary work required to fulfill the promises of an emerging educational neuroscience seems currently in great need of methodological advances. Conceptualizations of cognitive architecture, as a way to link brain functioning with affect and cognition suggest that the interpretation of online psychophysiological measures using concepts from current educational research pertaining to the relationships between affect, cognition and learning would be greatly facilitated by three strategies. The first strategy is to use multi-channel psychophysiological data to disambiguate low-level psychophysiological responses. The second strategy is to investigate links between psychophysiological and behavioral data. The third strategy is to measure over extended periods of time, to capture significant learning episodes. While within-level theories appear sufficient at this time, those explaining functional relationships between levels (i.e. psychophysiological and behavioral) are currently very limited. In the same way, methodological tactics to analyse multi-channel data over time are scarce. By discussing recent empirical and theoretical advances in process-oriented use of psychophysiological measures, this symposium should contribute to identify validated constructs that can be measured online in educational settings, and should provide principled ways to validate additional measures.


Julien Mercier, Tassos Mikropoulos

Mélanie Bédard, Isabelle Gauvin, Julien Mercier, Dave Saint-Amour

Line Laplante, Julien Mercier, Mélanie Bédard

Mélanie Bédard, Line Laplante, Julien Mercier

Yannick Skelling-Desmeules, Patrick Charland, Martin Riopel

Hugo Lapierre, Patrick Charland

Patrick Charland, Alexandre Williot, Pierre-Majorique Léger, Julien Mercier, Yannick Skelling-Desmeules, Hugo Lapierre  

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