The power of feedback.

(2002). Becoming a Self-Regulated Learner: An Overview. Theory Into Practice: Vol. 41, Becoming a Self-Regulated Learner, pp. 64-70.

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Becoming a Self-Regulated Learner: An Overview

The topic of how students become self-regulated as learners has attracted researchers for decades. Initial attempts to measure self-regulated learning (SRL) using questionnaires and interviews were successful in demonstrating significant predictions of students’ academic outcomes. The present article describes the second wave of research, which has involved the development of online measures of self-regulatory processes and motivational feelings or beliefs regarding learning in authentic contexts. These innovative methods include computer traces, think-aloud protocols, diaries of studying, direct observation, and microanalyses. Although still in the formative stage of development, these online measures are providing valuable new information regarding the causal impact of SRL processes as well as raising new questions for future study.

Investigating Self-Regulation and Motivation: Historical Background, Methodological Developments, and Future Prospects

Self-regulated learning (SRL) includes the cognitive, metacognitive, behavioral, motivational, and emotional/affective aspects of learning. It is, therefore, an extraordinary umbrella under which a considerable number of variables that influence learning (e.g., self-efficacy, volition, cognitive strategies) are studied within a comprehensive and holistic approach. For that reason, SRL has become one of the most important areas of research within educational psychology. In this paper, six models of SRL are analyzed and compared; that is, Zimmerman; Boekaerts; Winne and Hadwin; Pintrich; Efklides; and Hadwin, Jarvela and Miller. First, each model is explored in detail in the following aspects: (a) history and development, (b) description of the model (including the model figures), (c) empirical support, and (d) instruments constructed based on the model. Then, the models are compared in a number of aspects: (a) citations, (b) phases and subprocesses, (c) how they conceptualize (meta)cognition, motivation and emotion, (d) top–down/bottom–up, (e) automaticity, and (f) context. In the discussion, the empirical evidence from the existing SRL meta-analyses is examined and implications for education are extracted. Further, four future lines of research are proposed. The review reaches two main conclusions. First, the SRL models form an integrative and coherent framework from which to conduct research and on which students can be taught to be more strategic and successful. Second, based on the available meta-analytic evidence, there are differential effects of SRL models in light of differences in students’ developmental stages or educational levels. Thus, scholars and teachers need to start applying these differential effects of the SRL models and theories to enhance students’ learning and SRL skills.

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A Review of Self-regulated Learning: Six Models and Four Directions for Research.

Contents Historical, Contemporary, and Future Perspectives on Self-Regulated Learning and Performance Dale H. Schunk and Jeffrey A. Greene Section I. Basic Domains of Self-Regulation of Learning and Performance Social Cognitive Theoretical Perspective of Self-Regulation Ellen L. Usher and Dale H. Schunk Cognition and Metacognition Within Self-Regulated Learning Philip H. Winne Developmental Trajectories of Skills and Abilities Relevant for Self-Regulation of Learning and Performance Rick H. Hoyle and Amy L. Dent Motivation and Affect in Self-Regulated Learning: Does Metacognition Play a Role? Anastasia Efklides, Bennett L. Schwartz, and Victoria Brown Self-Regulation, Co-Regulation and Shared Regulation in Collaborative Learning Environments Allyson Hadwin, Sanna Jarvela, and Mariel Miller Section II. Self-Regulation of Learning and Performance in Context Metacognitive Pedagogies in Mathematics Classrooms: From Kindergarten to College and Beyond Zemira R. Mevarech, Lieven Verschaffel, and Erik De Corte Self-Regulated Learning in Reading Keith W. Thiede and Anique B. H. de Bruin Self-Regulation and Writing Steve Graham, Karen R. Harris, Charles MacArthur, and Tanya Santangelo The Self-Regulation of Learning and Conceptual Change in Science: Research, Theory, and Educational Applications Gale M. Sinatra and Gita Taasoobshirazi Using Technology-Rich Environments to Foster Self-Regulated Learning in the Social Studies Eric G. Poitras and Susanne P. Lajoie Self-Regulated Learning in Music Practice and Performance Gary E. McPherson, Peter Miksza, and Paul Evans Self-Regulation in Athletes: A Social Cognitive Perspective Anastasia Kitsantas, Maria Kavussanu, Deborah B. Corbatto, and Pepijn K. C. van de Pol Self-Regulation: An Integral Part of Standards-Based Education Marie C. White and Maria K. DiBenedetto Teachers as Agents in Promoting Students' SRL and Performance: Applications for Teachers' Dual-Role Training Program Bracha Kramarski Section III. Technology and Self-Regulation of Learning and Performance Emerging Classroom Technology: Using Self-Regulation Principles as a Guide for Effective Implementation Daniel C. Moos Understanding and Reasoning About Real-Time Cognitive, Affective, and Metacognitive Processes to Foster Self-Regulation With Advanced Learning Technologies Roger Azevedo, Michelle Taub, and Nicholas V. Mudrick The Role of Self-Regulated Learning in Digital Games John L. Nietfeld Self-Regulation of Learning and Performance in Computer-Supported Collaborative Learning Environments Peter Reimann and Maria Bannert Section IV. Methodology and Assessment of Self-Regulation of Learning and Performance Validity and the Use of Self-Report Questionnaires to Assess Self-Regulated Learning Christopher A. Wolters and Sungjun Won Capturing and Modeling Self-Regulated Learning Using Think-Aloud Protocols Jeffrey A. Greene, Victor M. Deekens, Dana Z. Copeland, and Seung Yu Assessing Self-Regulated Learning Using Microanalytic Methods Timothy J. Cleary and Gregory L. Callan Advancing Research and Practice About Self-Regulated Learning: The Promise of In-Depth Case Study Methodologies Deborah L. Butler and Sylvie C. Cartier Examining the Cyclical, Loosely Sequenced, and Contingent Features of Self-Regulated Learning: Trace Data and Their Analysis Matthew L. Bernacki Data Mining Methods for Assessing Self-Regulated Learning Gautam Biswas, Ryan S. Baker, and Luc Paquette Section V. Individual and Group Differences in Self-Regulation of Learning and Performance 26. Calibration of Performance and Academic Delay of Gratification: Individual and Group Differences in Self-Regulation of Learning Peggy P. Chen and Hefer Bembenutty 27. Academic Help Seeking as a Self-Regulated Learning Strategy: Current Issues, Future Directions Stuart A. Karabenick and Eleftheria N. Gonida 28. The Three Faces of Epistemic Thinking in Self-Regulated Learning Krista R. Muis and Cara Singh 29. Advances in Understanding Young Children's Self-Regulation of Learning Nancy E. Perry, Lynda R. Hutchinson, Nikki Yee, and Elina Maatta 30. Self-Regulation: Implications for Individuals With Special Needs Linda H. Mason and Robert Reid 31. Culture and Self-Regulation in Educational Contexts Dennis M. McInerney and Ronnel B. King

Handbook of Self-Regulation of Learning and Performance

This article describes a training program, Self-Regulation Empowerment Program (SREP), that school professionals can use to empower adolescent students to engage in more positive, selfmotivating cycles of learning. It is a two-part approach whereby self-regulated learning coaches (SRC) (a) use microanalytic assessment procedures to assess students’ self-regulation beliefs and study strategies and (b) train students to use these strategies in a cyclical, self-regulation feedback loop. Ultimately, students learn how to set goals, select and monitor strategy effectiveness, make strategic attributions, and adjust their goals and strategies. The program was developed from social-cognitive theory and research and integrates many of the essential features of the problem-solving model. Interventions used in the SREP include graphing, cognitive modeling, cognitive coaching, and structured practice sessions. A case study is presented to illustrate procedures for implementing the program. Implications for school psychologists and teachers also are presented and discussed. © 2004 Wiley Periodicals, Inc.

Self-Regulation Empowerment Program: A School-Based Program to Enhance Self-Regulated and Self-Motivated Cycles of Student Learning.

Basketball experts, non-experts, and novices were studied for differences in their self-regulatory forethought and self-reflection processes regarding their free-throw shooting. Forty-three adolescent boys participated individually in the study, which involved a practice session in a gymnasium. The subjects were queried regarding their forethought goals, strategy choice, self-efficacy as well as their self-reflection attributions and feelings of satisfaction as they practiced their shooting. Among the significant results, experts set more specific goals, selected more technique-oriented strategies, made more strategy attributions, and displayed higher levels of self-efficacy than non-experts and novices. Forethought phase processes intercorrelated significantly as did self-reflection phase processes. In addition, self-reflection attributions were predictive of forethought strategy selection during further efforts to learn. The results were discussed in terms of a social cognitive model of self-regulation.

Self-Regulation Differences during Athletic Practice by Experts, Non-Experts, and Novices

Self-regulation, motivation, and math achievement in middle school: variations across grade level and math context.

Self-regulation theory, as applied to medical education, describes the cyclical control of academic and clinical performance through several key processes that include goal-directed behaviour, use of specific strategies to attain goals, and the adaptation and modification to behaviours or strategies to optimise learning and performance. Extensive research across a variety of non-medical disciplines has highlighted differences in key self-regulation processes between high- and low-achieving learners and performers. Structured identification of key self-regulation processes can be used to develop specific remediation approaches that can improve performance in academic and complex psycho-motor skills. General teaching approaches that are guided by a self-regulation perspective can also enhance academic performance. Self-regulation theory offers an exciting potential for improving academic and clinical performance in medical education.

Self-regulation theory: Applications to medical education: AMEE Guide No. 58

The primary purpose of this paper is to review relevant research related to the use of an assessment technique, called Self-Regulated Learning (SRL) Microanalysis. This structured interview is grounded in social-cognitive theory and research and thus seeks to evaluate students' regulatory processes as they engage in well-defined academic or nonacademic tasks and activities. We illustrate the essential features of this contextualized assessment approach and detail a simple five-step process that researchers can use to apply this approach to their work. Example questions and administration procedures for five key self-regulation subprocesses (i.e., including goal-setting, strategic planning, monitoring, self-evaluation, and attributions) are highlighted, with particular emphasis placed on causal attributions. The psychometric properties of SRL microanalytic assessment protocols and potential areas of future research are presented.

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Timothy J. Cleary

Papers

Self-Regulation Empowerment Program: A School-Based Program to Enhance Self-Regulated and Self-Motivated Cycles of Student Learning.

Self-Regulation Differences during Athletic Practice by Experts, Non-Experts, and Novices

Self-regulation, motivation, and math achievement in middle school: variations across grade level and math context.

Self-regulation theory: Applications to medical education: AMEE Guide No. 58

Assessing Self-Regulation as a Cyclical, Context-Specific Phenomenon: Overview and Analysis of SRL Microanalytic Protocols