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
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Factors influencing Chinese undergraduate students' emotions in an online EFL learning context during the COVID pandemic
TL;DR: This paper examined the influence of students' perceived online teaching quality and appraisals of control and value on their achievement emotions in an online second language (L2) learning context instigated by the COVID-19.
Proceedings ArticleDOI
A Data Mining Approach to Student Performance Prediction Within Internet-Worked Environments
TL;DR: The factors that influence the student learning process in an internet mediated environment are discussed and a decision tree is used to show which factors affect student performance in these environments.
Journal ArticleDOI
Assessing the statistical training in animal science graduate programs in the United States: survey on statistical training.
Nick V. L. Serão,Amy L Petry,Amy L Petry,Leticia P Sanglard,Mariana C Rossoni-Serão,Jennifer Bundy +5 more
TL;DR: In this paper, a survey with 38 questions was shared across U.S. universities, and 416 eligible ASGS from 43 universities participated in this study, and the survey included questions on the demographics and overall training, graduate education on statistics, and self-assessment on statistics and career path of ASGS.
Journal ArticleDOI
Types of boredom and other learning activity emotions: A person-centred investigation of inter-individual data
TL;DR: In this paper, the authors tried to expand their understanding of boredom and replicate these previous findings by applying intensity observations of cross-sectional type for four discrete learning activity emotions: boredom, anxiety, hopelessness, and enjoyment.
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.
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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.
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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.