Achievement emotions are critical because of their impact on success and failure in important domains such as learning. These emotions may be modified via emotion regulation (ER). The dominant process model of ER (PMER;Gross, 1998Gross, , 2015, however, provides a domain-general account of ER strategies and has not had substantial contact with theories of achievement emotions such as Pekrun's ( 2006) control-value theory (CVT) and the academic achievement literature. Moreover, ER has not been a focal point of major theories related to achievement emotions, such as CVT. We propose an integrated model of ER in achievement situations (ERAS) that integrates propositions about the generation of emotions from CVT with propositions about how emotions are regulated and types of ER strategies from PMER. The ERAS model also offers new propositions regarding how different achievement situations, object foci, and time frames, as well as discrete emotions with different appraisal patterns, impact ER strategies.

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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

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In this paper, we explore the potential of gaze data as a source of information to predict learning as students interact with MetaTutor, an ITS that scaffolds self-regulated learning. Using data from 47 college students, we show that a classifier using a variety of gaze features achieves considerable accuracy in predicting student learning after seeing gaze data from the complete interaction. We also show promising results on the classifier ability to detect learning in real-time during interaction.

In this paper we investigate the usefulness of eye tracking data for predicting emotions relevant to learning, specifically boredom and curiosity. The data was collected during a study with MetaTutor, an intelligent tutoring system (ITS) designed to promote the use of self-regulated learning strategies. We used a variety of machine learning and feature selection techniques to predict students' self-reported emotions from gaze data features. We examined the optimal amount of interaction time needed to make predictions, as well as which features are most predictive of each emotion. The findings provide insight into how to detect when students disengage from MetaTutor.

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. [...

Introduction: Health care providers (HCPs) have experienced more stress and burnout during COVID-19 than before. We compared sources and levels of stress, distress, and approaches to coping between nurses and physicians, and examined whether coping strategies helped mitigate the negative impact of stress and intentions to quit. Methods: Using a cross-sectional study design, burnout was measured with the Maslach Burnout Inventory. Psychological distress was measured using the Depression, Anxiety, and Stress Scale. A self-reported survey was used to evaluate stressors, impact on perceived performance, and intentions to quit. The data were analyzed using t-tests and linear regression models. Results: Responses of 119 HCPs were analyzed. Findings suggest that (1) compared to physicians, nurses experienced a higher level of distress and burnout, and used more maladaptive coping strategies. (2) Both nurses and physicians experienced more distress and burnout during COVID-19 than before. (3) Adaptive coping strategies moderated the negative impact of stress on work performance (4) Adaptive coping strategies moderated the negative effect of stress on burnout, which in turn reduced intentions to quit. Stress negatively impacted work performance and burnout only for those with low, but not high, levels of adaptive coping strategies. Discussion: The current findings of HCPs' challenges, risks, and protective factors provide valuable information (1) on COVID-19's impact on HCPs, (2) to guide the distribution of institutional supportive efforts and recommend adaptive coping strategies, and (3) to inform medical education, such as resilience training, focusing on adaptive coping approaches.