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Open AccessJournal ArticleDOI

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.

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Journal ArticleDOI

Diferencias de género en matemáticas y lengua: rendimiento académico, autoconcepto y expectativas

TL;DR: In this article, the authors evaluate gender differences in self-concept, subjective value, expectations and academic performance, and analyze the relationships between the variables, and to understand their role in explaining performance in language and mathematics.

Strategies for teaching developmental mathematics students at the college level

TL;DR: In this article, the authors discuss the importance of Instructional Strategies for effective teaching and developmental education in the context of video-aided education and the role of the researcher's lens.
Dissertation

Examining the conditions under which educational technology mediates learning

TL;DR: In this article, the authors present an overview of the history of learning theories and technology in the context of science, technology, and learning theory and technology, as well as a list of figures and tables.
Dissertation

Domain Specificity of Achievement Emotions

TL;DR: In this paper, the authors thank Selam for the precious support, which they have been unterstützt haben, für die Hilfe und den Zuspruch bedanken.
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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