Using teacher learning teams as a framework for bridging theory and practice in self-regulated learning.

2015 ◽  
pp. 229-250 ◽  
Author(s):  
Nancy E. Perry ◽  
Charlotte A. Brenner ◽  
Nicole MacPherson
Keyword(s):  
Teacher Learning ◽  
Theory And Practice ◽  
Self Regulated Learning ◽  
Learning Teams ◽  
Regulated Learning

scholarly journals Teachers and the Teaching of Self-Regulated Learning (SRL): The Emergence of an Integrative, Ecological Model of SRL-in-Context

2020 ◽  
Vol 10 (4) ◽  
pp. 98
Author(s):  
Effat Alvi ◽  
Robyn Gillies
Keyword(s):  
Primary Schools ◽  
Ecological Model ◽  
Complex Structure ◽  
School Curriculum ◽  
Theory And Practice ◽  
Central Position ◽  
Context Model ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Support Students

Teachers are effective agents who can introduce and support students’ self-regulated learning (SRL) in classrooms. This qualitative study presents an integrative, ecological model of SRL-in-context from the teachers’ perspectives. Data were obtained from in-depth interviews, participant observations and informal conversations gathered from the classrooms of six teachers working in three different state primary schools located in Queensland, Australia. The model builds on teachers’ beliefs and understandings about SRL, the different ways through which they adopt SRL-supportive practices and the enactment of SRL in classrooms. It represents a complex structure of nested and mutually dependent systems with teachers having a central position, thereby forming the microsystem. However, teachers’ efforts to support students’ SRL are influenced by the exosystem (e.g., school, curriculum) and macrosystem (e.g., home, community) in a reciprocal fashion. The SRL-in-context model has implications for both theory and practice.

scholarly journals Examining the Role of Enjoyment, Anxiety, and Emotional Intelligence Online Graduate Students' Self-Regulated Learning

2020 ◽  
Author(s):  
Achraf Touati
Keyword(s):  
Emotional Intelligence ◽  
Online Learning ◽  
Graduate Students ◽  
Value Theory ◽  
Theory And Practice ◽  
Achievement Emotions ◽  
Self Regulated Learning ◽  
Control Value ◽  
Regulated Learning

As online learning continues to grow, particularly amid the COVID pandemic, so too has interest among educational practitioners and researchers to understand the personal and contextual factors that shape students’ emotions in these environments. The control-value theory of achievement emotions has emerged as a useful framework for examining the antecedents and consequences of different emotions that students experience in online learning. The purpose of the present study was to validate the assumptions of the control-value theory in an asynchronous online graduate program, and to examine the role of emotional intelligence in this social-cognitive process. Data were collected from 102 graduate students enrolled at a public university in the United States. Results showed that online self-efficacy was a significant predictor of achievement emotions (enjoyment and anxiety). However, student value appraisals of the online program only predicted anxiety. Hierarchical regression analyses also revealed that only anxiety was a significant predictor of self-regulated learning. Further moderation analyses were conducted and showed that emotional intelligence moderated the relationships between achievement emotions and self-regulated learning. The implications for research, theory, and practice are discussed.

Interrelationships Among Self-Regulated Learning Processes: Toward a Dynamic Process-Based Model of Self-Regulated Learning

2018 ◽  
Vol 45 (8) ◽  
pp. 3146-3177 ◽  
Author(s):  
Jay H. Hardy ◽  
Eric Anthony Day ◽  
Logan M. Steele
Keyword(s):  
Skill Acquisition ◽  
Growth Models ◽  
Theoretical Perspective ◽  
Self Regulation ◽  
Computer Game ◽  
Theory And Practice ◽  
True Nature ◽  
Self Regulated Learning ◽  
Practice Performance ◽  
Regulated Learning

Self-regulation and learning are fundamentally dynamic phenomena that occur at the within-person level and unfold over time. However, the majority of the extant empirical research on self-regulated learning has been conducted at the between-person level, which can obscure the true nature of interrelationships among self-regulatory mechanisms. In the present study, we seek to advance a more nuanced view of the role of self-regulation in modern training and development by presenting a novel theoretical perspective that integrates cognitive, motivational, and behavioral mechanisms central to the literature on active learning with the more dynamic theoretical principles and mechanisms underlying stage-based cognitive models of skill acquisition. Hypotheses derived from this model were tested in a laboratory study with 305 participants who practiced a dynamic computer game involving strong cognitive and perceptual-motor demands. Bivariate cross-lagged latent growth models generally supported the proposed model, revealing systematic trends over the course of practice consistent with a series of iterative, bidirectional, and self-correcting reciprocal interrelationships among self-efficacy, metacognition, exploratory behavior, and practice performance. Collectively, these findings suggest that strong positive interrelationships among self-regulated learning variables at the between-person level may, in some cases, actually belie the true nature of their functional effects. Implications for theory and practice are discussed.

Clarifying the Connections Among Giftedness, Metacognition, Self-Regulation, and Self-Regulated Learning: Implications for Theory and Practice

2018 ◽  
Vol 63 (2) ◽  
pp. 102-119 ◽  
Author(s):  
Ernestina Oppong ◽  
Bruce M. Shore ◽  
Krista R. Muis
Keyword(s):  
Gifted Education ◽  
Self Regulation ◽  
Theory And Practice ◽  
Social Emotional ◽  
Education Practice ◽  
Self Regulated Learning ◽  
Construction Of Knowledge ◽  
Regulated Learning ◽  
The Individual ◽  
The Mind

The concept of giftedness has historically been shaped by theories of IQ, creativity, and expertise (including early conceptions of metacognition). These theories focus within the mind of the individual learner. Social, emotional, and motivational qualities of giftedness were treated as add-ons, not part of the core construct. This created misalignment with the social construction of knowledge—a position widely supported in gifted education practice. Newer, broader conceptions of metacognitive, self-regulated, and self-regulated learning processes have garnered interest. However, because these theories borrowed language from each other and earlier theories, assigning new meanings to old constructs, confusion arose about how to distinguish each of these three theories from each other or apply them to instruction. This article distinguishes among metacognition, self-regulation, and self-regulated learning, relating each to notions of giftedness, highlighting implications for practice, and especially highlighting self-regulated learning as a valuable contributor to understanding giftedness and designing instruction in gifted education.

Development of the Teacher Attitudes Towards Self-Regulated Learning Scale

2018 ◽  
Vol 34 (3) ◽  
pp. 193-205 ◽  
Author(s):  
Julia Steinbach ◽  
Heidrun Stoeger
Keyword(s):  
Factor Analysis ◽  
Primary School ◽  
Factor Structure ◽  
Concurrent Validity ◽  
Binary Logistic Regression ◽  
Affective Component ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Teachers Attitudes ◽  
Development And Validation

Abstract. We describe the development and validation of an instrument for measuring the affective component of primary school teachers’ attitudes towards self-regulated learning. The questionnaire assesses the affective component towards those cognitive and metacognitive strategies that are especially effective in primary school. In a first study (n = 230), the factor structure was verified via an exploratory factor analysis. A confirmatory factor analysis with data from a second study (n = 400) indicated that the theoretical factor structure is appropriate. A comparison with four alternative models identified the theoretically derived factor structure as the most appropriate. Concurrent validity was demonstrated by correlations with a scale that measures the degree to which teachers create learning environments that enable students to self-regulate their learning. Retrospective validity was demonstrated by correlations with a scale that measures teachers’ experiences with self-regulated learning. In a third study (n = 47), the scale’s concurrent validity was tested with scales measuring teachers’ evaluation of the desirability of different aspects of self-regulated learning in class. Additionally, predictive validity was demonstrated via a binary logistic regression, with teachers attitudes as predictor on their registration for a workshop on self-regulated learning and their willingness to implement a seven-week training program on self-regulated learning.

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