Perceived learning environment and students' emotional experiences: A multilevel analysis of mathematics classrooms.
TL;DR: 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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TL;DR: In this article , the authors investigated whether the school-level aggregation of student-reported OTL could yield reliable and valid measures, and explored the relationships among disciplinary climate, OTL, and mathematics achievement at both school and student levels.
Abstract: ABSTRACT Disciplinary climate and opportunity to learn (OTL) are considered as effectiveness-enhancing factors that can improve mathematics achievement. In this study, we investigated whether the school-level aggregation of student-reported OTL could yield reliable and valid measures, and then explored the relationships among disciplinary climate, OTL, and mathematics achievement at both school and student levels. Doubly latent multilevel structural equation modeling was adopted to analyze data from 63 countries/economies measured in the Programme for International Student Assessment (PISA) 2012. Three key findings emerged: (1) both disciplinary climate and OTL were reliable constructs when used at the school level, (2) disciplinary climate and OTL had positive effects on achievement at the school level, and OTL mediated the influence of disciplinary climate on achievement, and (3) OTL was positively associated with student achievement at the student level. Methodological and practical implications were discussed.
6 citations
TL;DR: In this article , the authors examined the mediating role of reading self-concept and the moderation role of disciplinary climate at both student level and school level in multi-level structural equation models (MSEM).
6 citations
TL;DR: The evaluation results show that the Support vector machine, implemented in the system, is superior over WEKA’s Multinomial Naïve-Bayes and J48 decision tree classifiers, Nevertheless, the various classifiers performed beyond the acceptable threshold.
Abstract: Learners’ adaptation to academic trajectory is shaped by several influencing factors that ought to be considered while attempting to design an intervention towards improving academic performance. Emotion is one factor that influences students’ academic orientation and performance. Tracking emotions in text by psychologists have long been a subject of concern to researchers. This is due to the challenges associated with determining the level of accuracy and consistency of decisions made from analysing such text by psychologists. Lately, Artificial Intelligence has complemented human efforts in tracking emotions in text. This paper provides an overview of machine learning application for detecting emotions in text through a Support vector machine learning system. In addition, we compared the performance of the system’s classifier to WEKA’s Multinomial Naive-Bayes and J48 decision tree classifiers. Real time data from using the system in counselling delivery and collected students’ life stories were used for evaluating the performance of the classifiers. The evaluation results show that the Support vector machine, implemented in our system, is superior over WEKA’s Multinomial Naive-Bayes and J48 decision tree classifiers. Nevertheless, the various classifiers performed beyond the acceptable threshold. The implication for the findings goes to indicate that machine learning algorithms can be implemented to track emotions in text, especially from students generated content.
6 citations
Dissertation•
01 Jan 2019
6 citations
Cites background from "Perceived learning environment and ..."
...However, when students perceived the quality of instruction to be high, anxiety was slightly reduced (Frenzel et al., 2007)....
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...Student achievement has been found in numerous past studies to be influenced by students’ perceptions of the classroom environment (Frenzel et al., 2007)....
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..., 2007; Helmke, 1983), achievement pressure (Goetz, Pekrun, Hall, & Haag, 2006; Helmke, 1983), and competition within the class (Frenzel et al., 2007) have been positively related to anxiety....
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...In particular, perceived punitive teacher behaviour (Frenzel et al., 2007; Helmke, 1983), achievement pressure (Goetz, Pekrun, Hall, & Haag, 2006; Helmke, 1983), and competition within the class (Frenzel et al....
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..., 2014); teacher support, task orientation and equity (Chionh & Fraser, 2009) and perceived quality of instruction (Frenzel et al., 2007), student involvement and task orientation (Ogbuehi & Fraser, 2007; Opolot-Okurut, 2010); and negatively correlated with friction within the classroom (Dorman, 2002; Goh et al....
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01 Jan 2016
TL;DR: For decades researchers have been trying to identify and classify characteristics that contribute to students' academic success as discussed by the authors, and the plethora of meaningful predictors is covered in the current volume by scores of distinguished contributors, and the reader will discover that all of the suggested lists and models are in no way complete or definitive.
Abstract: For decades researchers have been trying to identify and classify characteristics that contribute to students’ academic success. The plethora of meaningful predictors is covered in the current volume by scores of distinguished contributors, and the reader will discover that all of the suggested lists and models are in no way complete or definitive.
6 citations
References
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Book•
03 Mar 1992TL;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.
Abstract: Introduction The Logic of Hierarchical Linear Models Principles of Estimation and Hypothesis Testing for Hierarchical Linear Models An Illustration Applications in Organizational Research Applications in the Study of Individual Change Applications in Meta-Analysis and Other Cases Where Level-1 Variances are Known Three-Level Models Assessing the Adequacy of Hierarchical Models Technical Appendix
23,126 citations
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.
19,282 citations
Book•
01 Apr 2002
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.
Abstract: 1. Introduction to Multilevel Analysis. 2. The Basic Two-Level Regression Model. 3. Estimation and Hypothesis Testing in Multilevel Regression. 4. Some Important Methodological and Statistical Issues. 5. Analyzing Longitudinal Data. 6. The Multilevel Generalized Linear Model for Dichotomous Data and Proportions. 7. The Multilevel Generalized Linear Model for Categorical and Count Data. 8. Multilevel Survival Analysis. 9. Cross-classified Multilevel Models. 10. Multivariate Multilevel Regression Models. 11. The Multilevel Approach to Meta-Analysis. 12. Sample Sizes and Power Analysis in Multilevel Regression. 13. Advanced Issues in Estimation and Testing. 14. Multilevel Factor Models. 15. Multilevel Path Models. 16. Latent Curve Models.
5,395 citations
"Perceived learning environment and ..." refers methods in this paper
...Since our sample was adequately large (both individuals and groups), we derived these correlations using Muthén’s pseudo-balanced approach to the scaled between-group covariance matrix (see Hox, 2002, p. 228; and Muthén, 2004, p. 44ff)....
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Book•
01 Jan 1986
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.
Abstract: For a long time I have had the gnawing desire to convey the broad motivational sig nificance 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. Furthermore, recent investigations have yielded insights into the attributional determinants of affect, thus providing the impetus to embark upon a detailed discussion of emotion and to elucidate the relation between emotion and motivation from an attributional perspective. The presentation of a unified theory of motivation and emotion is the goal of this book. My more specific aims in the chapters to follow are to: 1) Outline the basic princi ples that I believe characterize an adequate theory of motivation; 2) Convey what I perceive to be the conceptual contributions of the perspective advocated by my col leagues and me; 3) Summarize the empirical relations, reach some definitive con clusions, and point out the more equivocal empirical associations based on hypotheses derived from our particular attribution theory; and 4) Clarify questions that have been raised about this conception and provide new material for still further scrutiny. In so doing, the building blocks (if any) laid down by the attributional con ception will be readily identified and unknown juries of present and future peers can then better determine the value of this scientific product."
4,327 citations
"Perceived learning environment and ..." refers background in this paper
...Yet, with the exception of test anxiety (e.g., Zeidner, 1998) and Weiner’s research on attributional antecedents of achievement-related emotions (e.g., Weiner, 1986 ), educational research has paid comparatively little regard to emotions, in particular to positive emotions (see Pekrun, Goetz, Titz, & Perry, 2002a)....
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...…with the exception of test anxiety (e.g., Zeidner, 1998) and Weiner’s research on attributional antecedents of achievement-related emotions (e.g., Weiner, 1986), educational research has paid comparatively little regard to emotions, in particular to positive emotions (see Pekrun, Goetz, Titz, &…...
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4,163 citations