title: Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective.
abstract: In a recent theoretical synthesis on the concept of engagement, Fredricks, Blumenfeld and Paris defined engagement by its multiple dimensions: behavioral, emotional and cognitive. They observed that individual types of engagement had not been studied in conjunction, and little information was available about interactions or synergy between the dimensions; consequently, more studies would contribute to creating finely tuned teaching interventions. Benefiting from the recent technological advances in neurosciences, this paper presents a recently developed methodology to gather and synchronize data on multidimensional engagement during learning tasks. The technique involves the collection of (a) electroencephalography, (b) electrodermal, (c) eye-tracking, and (d) facial emotion recognition data on four different computers. This led to synchronization issues for data collected from multiple sources. Post synchronization in specialized integration software gives researchers a better understanding of the dynamics between the multiple dimensions of engagement. For curriculum developers, these data could provide informed guidelines for achieving better instruction/learning efficiency. This technique also opens up possibilities in the field of brain-computer interactions, where adaptive learning or assessment environments could be developed.
authors.affiliation: Department of Didactics, Université du Québec à Montréal; charland.patrick@uqam.ca.
authors.forename: Patrick
authors.initials: P
authors.lastname: Charland
authors.affiliation: Department of IT and Tech3Lab, HEC Montreal.
authors.forename: Pierre-Majorique
authors.initials: PM
authors.lastname: Léger
authors.affiliation: Department of Marketing and Tech3Lab, HEC Montreal.
authors.forename: Sylvain
authors.initials: S
authors.lastname: Sénécal
authors.affiliation: Department of IT and Tech3Lab, HEC Montreal.
authors.forename: François
authors.initials: F
authors.lastname: Courtemanche
authors.affiliation: Department of Specialized Education, Université du Québec à Montréal.
authors.forename: Julien
authors.initials: J
authors.lastname: Mercier
authors.affiliation: Department of Didactics, Université du Québec à Montréal.
authors.forename: Yannick
authors.initials: Y
authors.lastname: Skelling
authors.affiliation: Department of IT and Tech3Lab, HEC Montreal.
authors.forename: Elise
authors.initials: E
authors.lastname: Labonté-Lemoyne
mesh_terms: D001519:Behavior / Q000502:physiology; D001921:Brain / Q000502:physiology; D003071:Cognition / Q000502:physiology; D004569:Electroencephalography; D006801:Humans; D007858:Learning / Q000502:physiology*; D009482:Neurophysiology / Q000295:instrumentation / Q000379:methods*; D012984:Software