Among the educational constructs measured using EEG, cognitive load is one of the
most promising to date because of its pervasiveness in educational psychology
research (Antonenko et al., 2010) and history of methodological developments
(Berka et al., 2004; Poythress et al., 2006). Indexes of engagement have also been
developed (Freeman, Mikulka, Scerbo, & Scott, 2004; Pope, Bogart, & Bartolome,
1996; Poythress et al., 2006) and are currently applied to individual learning contexts (Charland et al., 2015). Distraction has also been measured in educational
contexts using this approach (Stevens, Galloway, & Berka, 2007). Stikic et al.
(2014) used continuous EEG to classify emotions as positive and negative. Their
results suggest that a probabilistic estimation of positive and negative affect can be
derived reliably for 2-min episodes (corresponding to the structure of the story)
within a 19-min narrative story. Joint attention was reflected in dual-EEG patterns
and may complement the eye-tracking methodology presented next (Lachat,
Hugueville, Lemaréchal, Conty, & George, 2012).
Among the educational constructs measured using EEG, cognitive load is one of the most promising to date because of its pervasiveness in educational psychology research (Antonenko et al., 2010) and history of methodological developments (Berka et al., 2004; Poythress et al., 2006). Indexes of engagement have also been developed (Freeman, Mikulka, Scerbo, & Scott, 2004; Pope, Bogart, & Bartolome, 1996; Poythress et al., 2006) and are currently applied to individual learning contexts (Charland et al., 2015). Distraction has also been measured in educational contexts using this approach (Stevens, Galloway, & Berka, 2007). Stikic et al. (2014) used continuous EEG to classify emotions as positive and negative. Their results suggest that a probabilistic estimation of positive and negative affect can be derived reliably for 2-min episodes (corresponding to the structure of the story) within a 19-min narrative story. Joint attention was reflected in dual-EEG patterns and may complement the eye-tracking methodology presented next (Lachat, Hugueville, Lemaréchal, Conty, & George, 2012).