The Power of Feedback
TL;DR: This paper provided a conceptual analysis of feedback and reviewed the evidence related to its impact on learning and achievement, and suggested ways in which feedback can be used to enhance its effectiveness in classrooms.
Abstract: Feedback is one of the most powerful influences on learning and achievement, but this impact can be either positive or negative. Its power is frequently mentioned in articles about learning and teaching, but surprisingly few recent studies have systematically investigated its meaning. This article provides a conceptual analysis of feedback and reviews the evidence related to its impact on learning and achievement. This evidence shows that although feedback is among the major influences, the type of feedback and the way it is given can be differentially effective. A model of feedback is then proposed that identifies the particular properties and circumstances that make it effective, and some typically thorny issues are discussed, including the timing of feedback and the effects of positive and negative feedback. Finally, this analysis is used to suggest ways in which feedback can be used to enhance its effectiveness in classrooms.
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TL;DR: The authors describe 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, including computer traces, think-aloud protocols, diaries of studying, direct observation, and microanalyses.
Abstract: 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.
2,771 citations
TL;DR: In this paper, the authors propose a framework for defining and delimiting formative assessment within broader theories of pedagogy, which can also unify the diverse set of practices which have been described as formative.
Abstract: Whilst many definitions of formative assessment have been offered, there is no clear rationale to define and delimit it within broader theories of pedagogy. This paper aims to offer such a rationale, within a framework which can also unify the diverse set of practices which have been described as formative. The analysis is used to relate formative assessment both to other pedagogic initiatives, notably cognitive acceleration and dynamic assessment, and to some of the existing literature on models of self-regulated learning and on classroom discourse. This framework should indicate potentially fruitful lines for further enquiry, whilst at the same time opening up new ways of helping teachers to implement formative practices more effectively.
1,748 citations
TL;DR: Results suggest games show higher learning gains than simulations and virtual worlds, and for simulation studies, elaborate explanation type feedback is more suitable for declarative tasks whereas knowledge of correct response is more appropriate for procedural tasks.
Abstract: The purpose of this meta-analysis is to examine overall effect as well as the impact of selected instructional design principles in the context of virtual reality technology-based instruction (i.e. games, simulation, virtual worlds) in K-12 or higher education settings. A total of 13 studies (N?=?3081) in the category of games, 29 studies (N?=?2553) in the category of games, and 27 studies (N?=?2798) in the category of virtual worlds were meta-analyzed. The key inclusion criteria were that the study came from K-12 or higher education settings, used experimental or quasi-experimental research designs, and used a learning outcome measure to evaluate the effects of the virtual reality-based instruction.Results suggest games (FEM?=?0.77; REM?=?0.51), simulations (FEM?=?0.38; REM?=?0.41), and virtual worlds (FEM?=?0.36; REM?=?0.41) were effective in improving learning outcome gains. The homogeneity analysis of the effect sizes was statistically significant, indicating that the studies were different from each other. Therefore, we conducted moderator analysis using 13 variables used to code the studies. Key findings included that: games show higher learning gains than simulations and virtual worlds. For simulation studies, elaborate explanation type feedback is more suitable for declarative tasks whereas knowledge of correct response is more appropriate for procedural tasks. Students performance is enhanced when they conduct the game play individually than in a group. In addition, we found an inverse relationship between number of treatment sessions learning gains for games.With regards to the virtual world, we found that if students were repeatedly measured it deteriorates their learning outcome gains. We discuss results to highlight the importance of considering instructional design principles when designing virtual reality-based instruction. A comprehensive review of virtual reality-based instruction research.Analysis of the moderation effects of design features in a virtual environment.Using an advance statistical technique of meta-analysis to study the effects.Virtual reality environment is effective for teaching in K-12 and higher education.Results can be used by instructional designers to design the virtual environments.
1,040 citations
15 May 2011
TL;DR: Self-Regulation of learning and performance has been studied extensively in the literature as mentioned in this paper, with a focus on the role of self-regulation in the development of learners' skills and abilities.
Abstract: 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
981 citations
TL;DR: In this paper, the authors develop and analyse two models of feedback: the first is based on the origins of the term in the disciplines of engineering and biology, and the second draws on ideas of sustainable assessment.
Abstract: Student feedback is a contentious and confusing issue throughout higher education institutions. This paper develops and analyses two models of feedback: the first is based on the origins of the term in the disciplines of engineering and biology. It positions teachers as the drivers of feedback. The second draws on ideas of sustainable assessment. This positions learners as having a key role in driving learning, and thus generating and soliciting their own feedback. It suggests that the second model equips students beyond the immediate task and does not lead to false expectations that courses cannot deliver. It identifies the importance of curriculum design in creating opportunities for students to develop the capabilities to operate as judges of their own learning.
913 citations
References
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TL;DR: This article examined process and outcome feedback as moderators of the relation of goal setting to performance, task-strategy quality, appropriateness of information search, effort, and self-confidence.
Abstract: Previous studies have demonstrated the interactive effects of goal setting and feedback. The present study examined process and outcome feedback as moderators of the relation of goal setting to performance, task-strategy quality, appropriateness of information search, effort, and self-confidence. Using a stock-investment computer simulation, 85 students worked under experimental conditions in which goals and process and outcome feedback were varied in a completely crossed factorial design. Results support the hypothesis that both process and outcome feedback interact with goal setting to enhance performance. In addition, the interaction of goal setting and process feedback was more strongly related to the quality of information search and task strategy than the interaction of goal setting and outcome feedback; the latter was more strongly related to self-confidence and effort than was the interaction between goal setting and process feedback. We discuss the results in terms of expanding the role of studying feedback in research on goal setting. Feedback and goal setting have become integral management tools because they are thought to serve both informational and motivational functions that enhance an individual's work performance (Kopelman, 1986; Locke, Cartledge, & Koeppel, 1968). Feedback can provide information about the correctness, accuracy, and adequacy of work behaviors. Motivationally, feedback may be necessary for instilling a sense of competence, accomplishment, and control in workers (Bandura, 1977; Hackman & Oldham, 1976). Likewise, the beneficial effect of specific and challenging goals on an individual's task performance is a well-documented phenomenon (Locke, Shaw,
335 citations
TL;DR: Low self-esteem and depressed subjects overestimated consensus on opinions and underestimated consensus on abilities less than high self- esteem and nondepressed subjects and there was a reliable FCE for both attributes.
Abstract: On the basis of a self-validation perspective, it was predicted that distortions in consensus estimates would vary as a function of attribute type (opinions versus abilities), relevance of the attribute, and individual differences in self-esteem and depression. Students rated themselves on seven opinion and ability dimensions using 5-point Likert scales. Then they estimated the percentage of the other students who held each opinion/ability position, and rank ordered the opinions/abilities for personal relevance. Absolute and directional accuracy scores were computed (comparing estimated percentages with actual percentages in the sample), as well as false consensus (FCE) scores (comparing estimates of subjects holding and not holding a particular position). Subjects overestimated consensus for their opinions and low abilities, but underestimated consensus for their high abilities. Although subjects exhibited a larger FCE on opinions than abilities, there was a reliable FCE for both attributes. Relevance affected the magnitude of these biases. Higher opinion relevance was associated with increased accuracy, lower FCE scores, and smaller overestimates. Higher ability relevance was associated with decreased accuracy, greater overestimation on low abilities, and greater underestimation on high abilities. Finally, low self-esteem and depressed subjects overestimated consensus on opinions and underestimated consensus on abilities less than high self-esteem and nondepressed subjects.
329 citations
TL;DR: The authors conducted a meta-analysis of findings on frequency of classroom testing and found that students who took at least one test during a 15-week term scored about one half of a standard deviation higher on criterion examinations than did students who did not take no tests.
Abstract: The educational effects of frequent classroom testing have been studied and discussed since the early part of this century. Testing advocates have suggested that more frequent classroom testing stimulates practice and review, gives students more opportunities for feedback on their work, and has a positive influence on student study time. Reviewers of relevant research and evaluation literature, however, have expressed uncertainty about whether such benefits are actually realized in classrooms. The present review distinguishes research on frequent classroom testing from research in two related areas, research on adjunct questions and research on mastery testing, and provides results from a meta-analysis of findings on frequency of classroom testing. The meta-analysis showed that students who took at least one test during a 15-week term scored about one half of a standard deviation higher on criterion examinations than did students who took no tests. Better criterion performance was associated with...
323 citations
TL;DR: This article showed that people motivated to believe that they possess a given trait search for autobiographical memories that reflect that trait, so as to justify their desired self-view, and obtained convergent evidence from open-ended memory-listing tasks and from reaction-time tasks measuring the speed with which memories could be generated that this manipulation enhanced the accessibility of memories reflecting the desired trait.
Abstract: We hypothesized that people motivated to believe that they possess a given trait search for autobiographical memories that reflect that trait, so as to justify their desired self-view. We led subjects to believe that either extraversion or introversion was desirable, and obtained convergent evidence from open-ended memory-listing tasks as well as from reaction-time tasks measuring the speed with which memories could be generated that this manipulation enhanced the accessibility of memories reflecting the desired trait. If people rely on their memories to construct desired self-concepts, motivated changes in self-concepts should be constrained by the content of available memories. Our final study demonstrates such constraints.
311 citations
TL;DR: Kluger and DeNisi as discussed by the authors found that although feedback intervention improves performance on average, it does not improve performance in more than one third of the cases, contrary to the common belief that feedback intervention most often improves performance.
Abstract: Feedback intervention (FI), that is, providing people with some in formation regarding their task per formance, is one of the mostly widely applied psychological inter ventions. Yet there is a growing body of evidence that such inter ventions yield highly variable ef fects on performance (Ilgen, Fisher, & Taylor, 1979; Kluger & DeNisi, 1996; Latham & Locke, 1991; Salmoni, Schmidt, & Walter, 1984). Indeed, in a meta-analysis, we found that although Fis improve performance on average, they re duce performance in more than one third of the cases (Kluger & DeNisi, 1996; see Fig. 1). The latter fact is contrary to the common be lief that Fis most often improve performance. Furthermore, we (Kluger & DeNisi, 1996) found no evidence that information about
303 citations