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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Empirical Investigation of the Academic Emotions of Gaokao Applicants during the COVID-19 Pandemic
TL;DR: In this paper , a mixed methods approach was applied to investigate how COVID-19 influenced Gaokao applicants' academic emotions in the Chinese context, and the results showed that there were significant gender differences in academic emotions, and students' physical exercise was also related.
affVAL-LR34 - Skalen zur Erfassung der affektiven Valenz des Lesens und Rechnens im dritten und vierten Grundschuljahr
TL;DR: In this paper, the authors verpflichten mich, die Bedingungen der Creative Commons Lizenz CC BY-SA 4.0 zu beachten, nach Abschluss meiner mit dem Verfahren zusammenhängenden Arbeiten mittels des Rückmeldeformulars.
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Classroom Climate, Academic Self-Concept, Learning Self-regulation, and Academic Identity Status among EFL Students: A Structural Equation Modeling Approach
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Problems associated with indoor air quality (IAQ) in classroom and recommended approaches
M. A. Suhaimi,Mohammad Ashraf Abdul Rahman,Mariah Awang,Zainal Abidin Akasah,Noor Haza Fazlin Hashim +4 more
TL;DR: In this article, the authors discuss problems related to indoor air quality and measures that can enhance the quality of indoor environment of a classroom at school and find that the most common problems associated with IAQ adversely affect the health of students and their performance.
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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.