Research on the effectiveness of augmented reality (AR) on learning exists, but there is a paucity of empirical work that explores the role that positive emotions play in supporting learning in such settings. To address this gap, this study compared undergraduate students' emotions and learning outcomes during a guided historical tour using mobile AR applications. Data was collected in a laboratory (Study 1; N = 13) and outdoors (Study 2; N = 18) from thirty-one undergraduate students at a large North American university. Our findings demonstrated that learners were able to effectively and enjoyably learn about historical differences between past and present historical locations by contextualizing their visual representations, and that the two mobile AR apps were effective both in and outside of the laboratory. Learners were virtually situated in the historical location in Study 1 and physically visited the location in Study 2. In comparing results -015-9420-7 between studies, findings revealed that learners were able to identify more differences outdoors and required less scaffolding to identify differences. Learners reported high levels of enjoyment throughout both studies, but more enjoyment and less boredom in the outdoor study. Eye tracking results from Study 1 indicated that learners frequently compared historical information by switching their gaze between mobile devices and a Smart Board, which virtually situated them at the historical location. Results enhance our understanding of AR applications' effectiveness in different contexts (virtual and location-based). Design recommendations for mobile AR apps are discussed.Education Tech Research Dev (2016) 64:359-388 DOI 10.1007/s11423

Students experience a variety of emotions following achievement outcomes which stand to influence how they learn and perform in academic settings. However, little is known about the link between student outcome emotions and dimensions of performance feedback in computer-based learning environments (CBLEs). Understanding the dynamics of this relationship is particularly important for high-stakes, competency-based domains such as medical education. In this study, we examined the relationship between medical students’ (N = 30) outcome emotion profiles and their performance on a diagnostic reasoning task in the CBLE, BioWorld. We found that participants could be organized into distinct emotion groups using k-means cluster analyses based on their self-reported outcome emotion profiles: an expected positive emotion cluster and negative emotion cluster and an unexpected low intensity emotion cluster. [...

Despite the importance of emotion regulation in education there is a paucity of research examining it in authentic educational contexts. Moreover, emotion measurement continues to be dominated by self-report measures. We address these gaps in the literature by measuring emotion regulation and activation in 37 medical students' who were solving medical cases using BioWorld, a computer-based learning environment. Specifically, we examined students' habitual use of emotion regulation strategies as well as electrodermal activation (emotional arousal) from skin conductance level (SCL) or skin conductance response (SCR), as well as appraisals of control and value and selfreported emotional responses during a diagnostic reasoning task in [Blinded]. Our results revealed that medical students reported significantly higher habitual levels of reappraisal than suppression ER strategies. Higher habitual levels of reappraisal significantly and positively predicted learners' self-reported pride. On the other hand, higher habitual levels of suppression significantly and positively predicted learners' self-reported anxiety, shame, and hopelessness. Results also revealed that medical students experienced relatively low SCLs and few SCRs while interacting with BioWorld. Habitual suppression strategies significantly and positively predicted medical students' SCLs, while SCRs significantly and positively predicted their diagnostic efficiency. Findings also revealed a significant, positive predictive relationship between SCL and shame and anxiety and the inverse relationship between SCL and task value. Implications and future directions are discussed.

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Achievement emotions have a powerful influence on how students interact with current and future learning and performance tasks. As such, pedagogical practices that support adaptive student emotions are critical for teaching and learning in computer-based learning environments (CBLEs). This research investigates the relationship between during-task achievement emotions and participants' appraisals of task control, value, perceived performance, and actual performance outcomes on a diagnostic reasoning task with a CBLE, BioWorld. Based on the emotions participants reported experiencing during the task, we found that participants could be organized into three groups using a k-means cluster analysis: a positive, negative, and low emotion group. Participants assigned to the positive emotion group had the highest subjective appraisals of task value, task control, and the highest perceived performance; however, these participants had lower levels of actual performance when compared to learners assigned to the low emotion cluster and had actual performance levels comparable to learners in the negative emotion cluster. These results provide preliminary evidence for fostering low emotionality rather than positive emotionality with pedagogical interventions in order to support better performance outcomes, while learners engage in academic achievement tasks in CBLEs.