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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The interaction between student motivation and the instructional environment on academic outcome: a hierarchical linear model
Ryan Los,Amy Schweinle +1 more
TL;DR: In this article, the authors used multiple theories of motivation and instructional environment to predict academic success and found that instructors adopt mastery and performance approach goal orientation in the classroom, emphasizing the process and enjoyment of learning and de-emphasizing performance avoidance goal orientation, which can increase student academic outcome.
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Assessing Cognitive Interference Using the Emotional Stroop Task in Students with and Without Attention Problems
TL;DR: In this article, the authors used the Emotional Stroop Task to assess cognitive interference triggered by emotional stimuli in elementary school students with and without attention problems and found that prolonged latencies to stimuli with heavy emotional content related to their school experiences were predictive of students' membership, after controlling for their gender and grade levels.
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A magic dwells in each beginning? Contextual effects of autonomy support on students’ intrinsic motivation in unfamiliar situations
TL;DR: This paper found that students' class-average perceptions of their teachers' autonomy support predicted intrinsic motivation only in unfamiliar situations (i.e., in the first and in the second year after a subject was newly introduced).
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How can students succeed in computer-supported interprofessional team-based learning? Understanding the underlying psychological pathways using Biggs' 3P model
Fraide A. Ganotice,Lap Ki Chan +1 more
TL;DR: It is suggested that students' achievement in CS-IPTBL is influenced by their motivation, enjoyment, and perceived usefulness which were derived from two sources: individual preparedness and members' valuable contribution (presage).
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Étude longitudinale du rôle du soutien conditionnel parental dans l’anxiété d’évaluation de l’élève
Abstract: L’anxiete d’evaluation est en contexte scolaire une emotion perturbante en ce qu’elle detourne l’attention de l’eleve de la tâche au profit de ruminations sur soi. Le but de cette etude est d’examiner le role de la perception par les eleves d’un soutien conditionnel de leurs parents dans le developpement de l’anxiete d’evaluation. L’hypothese a tester est que la perception de competence faible et le perfectionnisme negatif que le soutien conditionnel parental contribue a generer agissent comme des mediateurs de la relation entre un tel soutien et l’anxiete d’evaluation. Le soutien conditionnel parental a ete mesure chez 434 eleves quebecois francophones (211 garcons) une premiere fois lorsqu’ils etaient en 5e annee du primaire, puis de nouveau les deux annees suivantes. La perception de competence et le perfectionnisme negatif ont ete mesures a la quatrieme annee de l’etude et l’anxiete d’evaluation l’a ete a la cinquieme annee. L’hypothese est partiellement confirmee, mais differemment chez les garcons et chez les filles. Chez les premiers, la perception de competence est le seul mediateur significatif, alors que chez les secondes c’est le perfectionnisme negatif qui l’est. La discussion se concentre sur les differences de genre et sur l’importance d’un soutien parental inconditionnel dans le developpement des jeunes.
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.
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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.