Perceived learning environment and students' emotional experiences: A multilevel analysis of mathematics classrooms.
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
Citations
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Automatic engagement detection in the education: critical review
TL;DR: A review of most recent researches in the field of automatic affect and engagement detection and present a theoretical model of engagement in educational process based on the learning-centered affects detection as discussed by the authors.
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How do the cognitive load, self-efficacy and attitude of pre-service teachers shift in the multimedia science learning process?
TL;DR: The authors investigated pre-service teacher's cognitive load types (intrinsic load-IL, extraneous load-EL, and germane load-GL), academic achievements, and affective characteristics (attitude and selfefficacy) at two stages of experimental learning processes.
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Students’ perceptions of teachers’ teaching and interactions with students: Voices from a Tsunami affected school in Banda Aceh
TL;DR: This cross-sectional qualitative case study at a public junior high school in Banda Aceh that was severely affected by the Aceh 2004 tsunami provided evidences that the tragedy affected the quality of teachers’ teaching and teacher-student relationships.
Emociones y participación en contextos no formales. Los casos de un taller de tejido y un curso de socorristas
TL;DR: Martin, Rocio Belen, et al. as discussed by the authors presented a study on the effects of environmental pollution on the health of the environment in the context of the Argentina's climate change.
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
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.