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Université du Québec à Montréal

3 ARTICLES PUBLISHED IN JoVE

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Behavior

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
Patrick Charland 1, Pierre-Majorique Léger 2, Sylvain Sénécal 3, François Courtemanche 2, Julien Mercier 4, Yannick Skelling 1, Elise Labonté-Lemoyne 2
1Department of Didactics, Université du Québec à Montréal, 2Department of IT and Tech3Lab, HEC Montreal, 3Department of Marketing and Tech3Lab, HEC Montreal, 4Department of Specialized Education, Université du Québec à Montréal

This paper aims to describe the techniques involved in the collection and synchronization of the multiple dimensions (behavioral, affective and cognitive) of learners’ engagement during a task.

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Neuroscience

Novel Metrics to Characterize Embryonic Elongation of the Nematode Caenorhabditis elegans
Emmanuel Martin 1, Olivier Rocheleau-Leclair 1, Sarah Jenna 1
1Department of Chemistry, Pharmaqam, Université du Québec à Montréal

Here we detail protocols specifically designed to monitor morphogenic defects that occur during early and late phases of embryonic elongation of the nematode Caenorhabditis elegans. Ultimately, these protocols are designed to identify genes that regulate these phases and to characterize their differential requirements along the antero-posterior axis of the embryo.

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Genetics

Measuring Microbial Mutation Rates with the Fluctuation Assay
Rok Krašovec 1, Huw Richards 2,3, Guillaume Gomez 3, Danna R. Gifford 1, Adrien Mazoyer 4, Christopher G. Knight 3
1School of Biological Sciences, The University of Manchester, 2School of Science, University of Waikato, 3School of Natural Sciences, The University of Manchester, 4Department of Mathematics, Université du Québec à Montréal

Here, a protocol is presented to perform a fluctuation assay and estimate microbial mutation rate using phenotypic markers. This protocol will enable researchers to assay mutations in diverse microbes and environments, determining how genotype and ecological context affect spontaneous mutation rates.

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