Aligning and Comparing Data on Emotions Experienced during Learning with MetaTutor

In this study we aligned and compared self-report and on-line emotions data on 67 college students’ emotions at five different points in time over the course of their interactions with MetaTutor. Self-reported emotion data as well as facial expression data were converged and analyzed. Results across channels revealed that neutral and positively-valenced basic and learnercentered emotional states represented the majority of emotional states experienced with MetaTutor. The self-report results revealed a decline in the intensity of positively-valenced and neutral states across the learning session. The facial expression results revealed a substantial decrease in the number of learners’ with neutral facial expressions from time one to time two, but a fairly stable pattern for the remainder of the session, with participants who experienced other basic emotional states, transitioning back to a state of neutral between selfreports. Agreement between channels was 75.6%.