Perceived learning environment and students' emotional experiences: A multilevel analysis of mathematics classrooms.
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TLDR
Heckhausen et al. as discussed by the authors used a multilevel approach to analyse relationships between perceived classroom environments and emotions in mathematics and found that environmental characteristics conveying control and value to the students would be related to their experience of enjoyment, anxiety, anger, and boredom in mathematics.About:
This article is published in Learning and Instruction.The article was published on 2007-10-01 and is currently open access. It has received 396 citations till now. The article focuses on the topics: Multilevel model & Boredom.read more
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Big Five Personality Traits, Cognitive Appraisals and Emotion Regulation Strategies as Predictors of Achievement Emotions
TL;DR: In this article, the authors examined the unique contribution of Big Five personality traits (as distal personal antecedents of emotions), cognitive control and value appraisals (as their proximal antecedent) and students' tendency to reappraise or suppress their emotions for experiencing academic emotions of unhappiness, anger, anxiety and humiliation.
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Higher education emotions: a scale development exercise
TL;DR: In this article, a valid and reliable scale to measure higher education satisfaction emotions does not exist and this study aims to rectify this shortfall and to assist education managers and marketers in capturing a richer understanding of their students' experience, which can lead to enhanced reputation and increased future enrolments.
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A Multimodal Exploration of Engineering Students' Emotions and Electrodermal Activity in Design Activities
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Negative Emotions Moderate the Relationship Between Self-Efficacy and Achievement of Filipino Students
TL;DR: The authors found that negative academic emotions moderate the relationship between self-efficacy and achievement, and that higher selfefficacy was associated with higher grades among students who reported lower levels of negative academic emotion.
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Students’ self-determined motivation and negative emotions in mathematics in lower secondary education – Investigating reciprocal relations
TL;DR: This paper examined the longitudinal and reciprocal relationships between students' self-determined motivation (intrinsic and identified motivation) and negative academic emotions (anxiety, anger, and boredom) in mathematics.
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Hierarchical Linear Models: Applications and Data Analysis Methods
TL;DR: The Logic of Hierarchical Linear Models (LMLM) as discussed by the authors is a general framework for estimating and hypothesis testing for hierarchical linear models, and it has been used in many applications.
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TL;DR: This chapter discusses Hierarchical Linear Models in Applications, Applications in Organizational Research, and Applications in the Study of Individual Change Applications in Meta-Analysis and Other Cases Where Level-1 Variances are Known.
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TL;DR: This work focuses on the development of a single model for Multilevel Regression, which has been shown to provide good predictive power in relation to both the number of cases and the severity of the cases.
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An attributional theory of motivation and emotion
TL;DR: For a long time, the authors have had the gnawing desire to convey the broad motivational significance of the attributional conception that I have espoused and to present fully the argument that this framework has earned a rightful place alongside other leading theories of motivation.