Measuring emotions in students learning and performance: The Achievement Emotions Questionnaire (AE

By Reinhard Pekrun, Thomas Goetz, A. Frenzel, Petra Barchfeld, R. Perry. 2011

2,047 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/9535b3dc26e5b2f8b61d0693a77223f4e03abe9e

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In Experimental and Cognitive Psychology

In Social Psychology

Citations in the corpus

Activity Achievement Emotions and Academic Performance: A Meta-analysis (2021, methodology): “Achievement Emotions Questionnaire - Science (AEQ-S) 4.”
Emotions and motivation in mathematics education: theoretical considerations and empirical contributions (2017, background): “As students’ emotions such as enjoyment and boredom are related to their interest (Pekrun et al. 2011; Tulis and Ainley 2011; Schukajlow and Rakoczy 2016; Winberg et al. 2014), similar differences can also be expected for students’ emotions.”
What makes a good student? How emotions, self-regulated learning, and motivation contribute to academic achievement. (2014, background): “By implication, emotions may vary across these contexts (Pekrun et al., 2011).”
Emotion Transmission in the Classroom Revisited: A Reciprocal Effects Model of Teacher and Student Enjoyment (2017, result): “The means were comparable with evidence from earlier studies on student and teacher enjoyment using the Achievement Emotions Questionnaire for students (Pekrun et al., 2011) and the Teacher Emotions Scales for teachers (Frenzel et al., 2016).”
Achievement Emotions and Academic Performance: Longitudinal Models of Reciprocal Effects. (2017, methodology): “(Pekrun et al., 2011), which makes it difficult to determine unique variance in achievement”
Achievement goals, emotions, learning, and performance : A process model (2015, methodology): “…with Pekrun's control-value theory and recent research on emotions and self-regulated learning (e.g., Ahmed et al., 2013; Artino & Jones, 2012; Pekrun et al., 2002, 2011), enjoyment was therefore hypothesized to positively predict more adaptive learning strategies (e.g., elaboration ,…”
A Systematic Review of Empirical Studies on Learning Analytics Dashboards: A Self-Regulated Learning Perspective (2020, methodology): “The TEA model was proposed by [39] which was informed by the work of Pekrun, Goetz, Frenzel, Barchfeld, & Perry [40] and Arroyo et al. [41].”
Examining boredom : Different causes for different coping profiles (2015, positive): “We adhere to Pekrun’s (2006) control-value theory of emotion that suggests boredom occurs when students experience a lack of control that is either far beyond or below their abilities (Goetz, Pekrun, Hall, & Haag, 2006) and they do not perceive value in their academic tasks (Pekrun et al., 2011).”
In search for the most informative data for feedback generation: Learning analytics in a data-rich context (2015, methodology): “Learning emotions were measured through four scales of the Achievement Emotions Questionnaire (AEQ) developed by Pekrun et al. (2011): Enjoyment, Anxiety, Boredom and Hopelessness.”