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The purpose of this study was to examine the types of emotion learners expressed as they used a multimedia app to learn about queer history content. The study additionally examined whether there were differences in learners’ proportional learning gains when learners were categorized by their dominant emotions (i.e., emotions they expressed the most). To do this we used Pekrun’s (2006, 2014) CVT as a guide to formulate research questions, and as a critical lens to interpret results. This study extends research efforts in emotions and technology-rich environments (TREs) by integrating a framework for learning-related emotions and utilizing an under-examined emotion measurement methodology: facial recognition software.