This article describes the control-value theory of achievement emotions and its implications for educational research and practice. The theory provides an integrative framework for analyzing the antecedents and effects of emotions experienced in achievement and academic settings. It is based on the premise that appraisals of control and values are central to the arousal of achievement emotions, including activity-related emotions such as enjoyment, frustration, and boredom experienced at learning, as well as outcome emotions such as joy, hope, pride, anxiety, hopelessness, shame, and anger relating to success or failure. Corollaries of the theory pertain to the multiplicity and domain specificity of achievement emotions; to their more distal individual and social antecedents, their effects on engagement and achievement, and the reciprocal linkages between emotions, antecedents and effects; to the regulation and development of these emotions; and to their relative universality across genders and cultures. Implications addressed concern the conceptual integration of emotion, motivation, and cognition, and the need to advance mixed-method paradigms. In closing, implications for educational practice are discussed.

The Control-Value Theory of Achievement Emotions: Assumptions, Corollaries, and Implications for Educational Research and Practice

Measuring emotions in students’ learning and performance: The Achievement Emotions Questionnaire (AEQ)

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

The authors propose a theoretical model linking achievement goals and achievement emotions to academic performance. This model was tested in a prospective study with undergraduates (N = 213), using exam-specific assessments of both goals and emotions as predictors of exam performance in an introductory-level psychology course. The findings were consistent with the authors' hypotheses and supported all aspects of the proposed model. In multiple regression analysis, achievement goals (mastery, performance approach, and performance avoidance) were shown to predict discrete achievement emotions (enjoyment, boredom, anger, hope, pride, anxiety, hopelessness, and shame), achievement emotions were shown to predict performance attainment, and 7 of the 8 focal emotions were documented as mediators of the relations between achievement goals and performance attainment. All of these findings were shown to be robust when controlling for gender, social desirability, positive and negative trait affectivity, and scholastic ability. The results are discussed with regard to the underdeveloped literature on discrete achievement emotions and the need to integrate conceptual and applied work on achievement goals and achievement emotions.

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Achievement Goals and Achievement Emotions: Testing a Model of Their Joint Relations with Academic Performance.

Publisher Summary
This chapter presents an overview of the assumptions and corollaries of the control-value theory of achievement emotions, as well as some of its implications for educational practice. The control-value theory provides a theoretical framework making it possible to integrate constructs and assumptions from a variety of theoretical approaches to emotions in education and to achievement emotions more generally. Empirically, many facets of the theory have consistently been corroborated in qualitative and quantitative investigations. However, the assumptions provided by the theory on how to design emotionally sound learning environments for students, and occupational environments for teachers, have yet to be tested in empirical intervention studies. There is evidence that educational interventions can reduce students' test anxiety. The control-value theory implies that shaping educational environments in adequate ways can help to change achievement emotions other than anxiety as well. Future research should systematically explore measures to help both students and teachers to develop adaptive achievement emotions, prevent maladaptive emotions, and use their emotions in productive and healthy ways.

The Control-Value Theory of Achievement Emotions: An Integrative Approach to Emotions in Education

Publisher Summary
This chapter highlights the theoretical models of affect in students' learning. Circumplex models of affect differ from other current perspectives on affect in education. For instance, the control-value theory of emotions in education focuses specifically on emotions and does not consider more general mood states. In addition, rather than differentiating emotional states based on valence and activation, it categorizes emotions based on appraisal processes and highlights the dimensions of object focus and valence. Other research on students' affect in educational settings focuses on specific affective states, such as test anxiety, interest as an affective state, and shame rather than general models of affect. In contrast to these other approaches, the circumplex model presents a more comprehensive model that can be used to integrate a variety of affective states, including moods and emotions, in educational settings. Using a circumplex model of affect integrates research on achievement goal theory, affective states, and school engagement.

The Role of Affect in Student Learning. A Multi-Dimensional Approach to Considering the Interaction of Affect, Motivation, and Engagement.

This special issue was organized with the intent to highlight critical research being conducted on affect in education as well as to highlight potential areas for future research. Each of the manuscripts included in this special issue focuses on the contributing authors’ program of research, with an emphasis on the theoretical basis for their work and the methodologies they employ. The authors also consider how to integrate affect, motivation, and cognition and discuss methodological challenges to investigating affect in educational settings. Finally, the authors consider the role of affect in education, making specific suggestions for practice as well as more general suggestions for theory development.

Elizabeth A. Linnenbrink

Papers

The Role of Affect in Student Learning. A Multi-Dimensional Approach to Considering the Interaction of Affect, Motivation, and Engagement.

Emotion Research in Education: Theoretical and Methodological Perspectives on the Integration of Affect, Motivation, and Cognition

Helping behaviors in collaborative groups in math: A Descriptive analysis