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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.
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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.

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Are both classroom autonomy support and structure equally important for students' engagement? A multilevel analysis

TL;DR: In this paper, the authors investigate specific, additive and combined effects of teachers' autonomy support and structure on students' engagement, and highlight the links between classroom context, especially structure, and the three components of engagement.
Journal ArticleDOI

Teaching methods for modelling problems and students’ task-specific enjoyment, value, interest and self-efficacy expectations

TL;DR: In this article, the DISUM-project participants were asked about their enjoyment, interest, value, interest and self-efficacy expectations concerning three types of mathematical problems: intra-mathematical problems, word problems and modelling problems.
Journal ArticleDOI

Homework works if homework quality is high: Using multilevel modeling to predict the development of achievement in mathematics.

TL;DR: The authors examined the associations of two indicators of homework quality (homework selection and homework challenge) with homework motivation, homework behavior, and mathematics achievement, and found that students who perceived their homework assignments to be well selected reported higher homework motivation and homework behavior at both student and class level predicted later achievement at the class level.
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Students' emotions during homework: Structures, self-concept antecedents, and achievement outcomes

TL;DR: In this paper, the authors investigated students' enjoyment, pride, anxiety, anger, and boredom while completing homework and contrasted these emotions with those experienced during class (classroom emotions), and found that between-domain relations of emotions were significantly stronger for homework emotions as compared to classroom emotions, likely due to the relative homogeneity of homework settings across domains.
Journal ArticleDOI

Testing the Predictors of Boredom at School: Development and Validation of the Precursors to Boredom Scales.

TL;DR: The results supported previous research that found no gender differences in academic self-concept and interest and showed the precursors contained in the newly developed boredom scales are empirically separable.
References
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Book

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.
Journal ArticleDOI

Hierarchical Linear Models: Applications and Data Analysis Methods.

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.
Book

Multilevel Analysis: Techniques and Applications

Joop J. Hox
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.
Book

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.
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