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Focusing on the Complexity of Emotion Issues in Academic Learning: A Dynamical Component Systems Approach

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Abstract

Understanding the interrelations among students’ cognitive, emotional, motivational, and volitional processes is an emergening focus in educational psychology. A dynamical, component systems theory of emotions is presented as a promising framework to further unravel these complex interrelations. This framework considers emotions to be a process that is composed of cognitive, neurophysiological, motor expression, and motivational processes—as well as feelings—that mutually regulate each other over time and within a particular context. This comprehensive view of emotions provides a more complete understanding of the social and dynamical nature of emotions and the integration of emotions within learning processes. Using a dynamical, component systems view of emotional processes, interrelated with learning processes, involves a shift in research methodologies and instruments to adequately investigate the role(s) of emotions within learning contexts. But more importantly, it may provide a powerful framework that can clearly show teachers and parents the role(s) that emotions play in students’ acquisition of knowledge and skills.

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Notes

  1. The term “aptitudes” is used here as a general term that refers to individual difference constructs that are respectively cognitive, conative, or affective in nature and in interaction with the context determine students’ problem-solving behaviour (see e.g., aptitude-treatment interaction, Snow et al., 1996).

References

  • Boekaerts, M. (2002). “The on-line motivation questionnaire: A self-report instrument to assess students’ context sensitivity.” In P. R. Pintrich & M. L. Maehr (Eds.). Advances in Motivation and Achievement, Vol. 12, New directions in measures and methods (pp. 77–120). Oxford, UK: Elsevier.

    Google Scholar 

  • Cobb, P., & Bowers, J. (1999). Cognitive and situated learning: Perspectives in theory and practice. Educational Researcher, 28(2), 4–15.

    Article  Google Scholar 

  • Cobb, P., Yackel, E., & Wood, T. (1989). Young children’s emotional acts while engaged in mathematical problem solving. In D. B. McLeod, & V. M. Adams (Eds.), Affect and mathematical problem solving: A new perspective. Berlin Heidelberg New York: Springer.

    Google Scholar 

  • Davidson, R. J., Scherer, K. R., & Goldsmith, H. H. (2003). (Eds.). Handbook of affective sciences. New York: Oxford University Press.

  • DeBellis, V. A. (1996). Interactions between affect and cognition during mathematical problem solving: A two year case study of four elementary school children. Unpublished doctoral dissertation, Rutgers University: (University Microfilms No. 96-30716).

  • Eccles J. (1983). Expectancies, values and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement motives (pp. 75–146). San Francisco: Freeman.

    Google Scholar 

  • Ellsworth, P. C., & Scherer, K. R. (2003). Appraisal processes in emotion. In R. J. Davidson, K. R. Scherer, & H. H. Goldsmith (Eds.), Handbook of affective sciences (pp. 572–595). New York: Oxford University Press.

    Google Scholar 

  • English, H. B., & English, A. C. (1958). A comprehensive dictionary of psychological and psychoanalytic terms. New York: Longman’s Green.

    Google Scholar 

  • Greeno, J. G., Collins, A. M., & Resnick, L. B. (1996). Cognition and learning. In D. C. Berliner, & R. C. Calfee (Eds.), Handbook of educational psychology (pp. 15–46). New York: Macmillan.

    Google Scholar 

  • Hilgard, E. R. (1980). The trilogy of mind: Cognition, affection, and conation. Journal of the History of Behavioral Sciences, 16, 107–117.

    Google Scholar 

  • Isoda, M., & Nakagoshi, A. (2000). A case study of student emotional change using changing heart rate in problem posing and solving Japanese classroom in mathematics. In T. Nakahara, & M. Koyama (Eds.), Proceedings of the 24th conference of the international group for the psychology of mathematics education (pp. 387–394). Hiroshima: Hiroshima University.

  • Kelso, J. A. (1995). Dynamic patterns: The self-organization of brain and behavior. Cambridge, MA: MIT Press.

    Google Scholar 

  • Kugler, P. N., & Turvey, M. T. (1987). Information, natural law and the self-assembly of rhythmic movement. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Leder, G. C. (1999). Measuring mathematical beliefs and their impact on the learning of mathematics: A new approach. In E. Pehkonen, & G. Törner (Eds.), Mathematical beliefs and their impact on teaching and learning of mathematics; Proceedings of the workshop in Oberwolfach (pp. 57–65). Duisburg: Gerhard Mercator Universität Duisburg.

  • Lewis, M. D., (2000). Emotional self-organization at three time scales. In M. D. Lewis, & I. Granic (Eds.). Emotion, development, and self-organization: Dynamic systems approaches to emotional development (pp. 37–69). Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Lewis, M.D., & Granic, I. (2000). (Eds.), Emotion, development, and self-organization: Dynamic systems approaches to emotional development. Cambridge, UK: Cambridge University Press.

  • Mascolo, M.F., Harkins, D., & Harakal, T. (2000). The dynamic construction of emotions: Varieties of anger. In M.D. Lewis & I. Granic (Eds.), Emotion, development, and self-organization: Dynamic systems approaches to emotional development (pp. 125–152). Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • McLeod, D. B. (1992). Research on affect in mathematics education: A reconceptualization. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning: A project of the National Council of Teachers of Mathematics (pp. 575–596). New York: Macmillan.

    Google Scholar 

  • Op ’t Eynde, P., De Corte, E., & Verschaffel, L. (2001). “What to learn from what we feel?”: The role of students’ emotions in the mathematics classroom. In S. Volet, & S. Järvelä (Eds.), Motivation in learning contexts: Theoretical and methodological implications (pp. 149–167). A volume in the EARLI/Pergamon “Advances in Learning and Instruction” series.

  • Op ‘t Eynde, P., De Corte, E., & Verschaffel, L. (2002). Framing students’ mathematics-related beliefs: A quest for conceptual clarity and a comprehensive categorization. In G.C. Leder, E. Pehkonen, & G. Törner (Eds.), Beliefs: A hidden variable in mathematics education? (pp. 13–37). Dordrecht, The Netherlands: Kluwer.

    Google Scholar 

  • Op ‘t Eynde, P., De Corte, E., & Verschaffel, L. (in press a). “Accepting emotional complexity”: A socio-constructivist perspective on the role of emotions in the mathematics classroom. Educational Studies in Mathematics.

  • Op ‘t Eynde, P., De Corte, E., & Verschaffel, L. (in press b). Students’ emotions: A key-component of self-regulated learning? In P. A. Schutz & R. Pekrun (Eds.), Emotions in education. New York: Elsevier.

  • Op ’t Eynde, P. & Hannula, M. (in press). The case of Frank. Educational studies in Mathematics.

  • Panksepp, J. (2004). Basic affect and the instinctual emotional systems of the brain: The primordial sources of sadness, joy, and seeking. In A. S. R. Manstead, N. Frijda, & A. Fischer (Eds), Feelings and emotions: The Amsterdam Symposium (pp. 174–193). Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Paris, S. G., & Turner, J. C. (1994). Situated motivation. In P. R. Pintrich, D. R. Brown, & C. E. Weinstein (Eds.), Student motivation, cognition, and learning: Essays in honor of Wilbert J. McKeachie (pp. 213–238). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Pekrun, R. (1993). Facets of adolescents’ academic motivation: A longitudinal expectancy-value approach. In M. Maehr & P. Pintrich (Eds.), Advances in motivation and achievement: Motivation and adolescent development (Vol. 8, pp. 139–190). Greenwich, CT: JAI Press.

  • Pekrun, R. (2000). A social cognitive, control-value theory of achievement emotions. In J. Heckhausen (Ed.), Motivational psychology of human development (pp. 143–163). Oxford, England: Elsevier.

    Google Scholar 

  • Pekrun, R., Goetz, T., Titz, W., & Perry, R. P. (2002). Academic emotions in students’ self-regulated learning and achievement: A program of qualitative and quantitative research. Educational Psychologist, 37(2), 91–105.

    Article  Google Scholar 

  • Pintrich, P. (1988). A process-oriented view of student motivation and cognitions. In J. S. Stark & L. A. Mets (Eds.) Improving teaching and learning through research (Vol. 57, pp. 65–80). San Francisco: Jossey-Bass.

    Google Scholar 

  • Pintrich, P. (1989). The dynamic interplay of student motivation and cognition in the college classroom. In M. Maehr, & C. Ames, (Eds.) Advances in motivation and achievement: Motivation enhancing environments (Vol. 6, pp. 117–160). Connecticut: JAI.

    Google Scholar 

  • Prawat, R. S., & Anderson, A. L. H. (1994). The affective experiences of children during mathematics. Journal of Mathematical Behavior, 13, 201–222.

    Article  Google Scholar 

  • Rogoff, B. (1995). Observing sociocultural activity on three planes: participatory appropriation, guided participation, and apprenticeship. In J. V. Wertsch, P. del Rio, & A. Alvarez (Eds.), Sociocultural studies of mind (pp. 139–164). New York: Cambridge University Press.

    Google Scholar 

  • Scherer, K. R. (2000). Emotions as episodes of subsystem synchronization driven by nonlinear appraisal processes. In M.D. Lewis, & I. Granic (Eds.), Emotion, development, and self-organization: Dynamic systems approaches to emotional development (pp. 70–99). Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Scherer, K. R. (2004). Feelings integrate the central representation of appraisal-driven response organization in emotion. In A. S. R. Manstead, N. Frijda, & A. Fischer (Eds.). Feelings and emotions: The Amsterdam symposium (pp. 136–157). Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Scherer, K. R., & Tannenbaum, P. H. (1986). Emotional experiences in everyday life: A survey approach. Motivation and Emotion, 10, 295–314.

    Article  Google Scholar 

  • Snow, R. E., Corno, L., & Jackson III, D. (1996). Individual differences in affective and conative functions. In D. C. Berliner & R. C. Calfee (Eds.), Handbook of educational psychology (pp. 243–310). New York: Macmillan.

    Google Scholar 

  • Solomon, R. (1976). The passions. New York: Anchor/Doubleday.

    Google Scholar 

  • Turner, J. C., & Meyer, D. K. (1999). Integrating classroom context into motivation theory and research: Rationales, methods, and implications. In T. C. Urdan (Ed.), Advances in motivation and achievement, Vol 11. The role of context (pp. 87–121). Stamford, Connecticut: JAI.

    Google Scholar 

  • Turner, J. E., Husman, J., & Schallert, D. L. (2002). The importance of students’ goals in their emotional experience of academic failure: Investigating the precursors and consequences of shame. [Special Issue: Emotions in Education]. Educational Psychologist, 37(2), 79–89.

    Article  Google Scholar 

  • Turner, J. E. & Schallert, D. (2001). Expectancy–value relationships of shame reactions and shame resiliency. Journal of Educational Psychology, 93, 320–329.

    Article  Google Scholar 

  • Turner, J. E. & Waugh, R. M. (2003, April). An ideographic investigation of students’ learning processes throughout a semester from an emergent, dynamical systems perspective. In P. Schutz & J. E. Turner (Co-chairs), The dynamic interplay of students’ emotions, motivation, and self-regulation within classroom contexts. Symposium conducted at the American Educational Research Association National Conference, Chicago, Illinois.

  • Turner, J. E. & Waugh, R. M. (in press). A dynamical systems perspective regarding students’ learning processes: Shame reactions and emergent self-organizations. In P. A. Schutz & R. Pekrun (Eds.), Emotions in education. New York: Elsevier.

  • Volet, S. (2001). Understanding learning and motivation in context: A multi-dimensional and multi-level cognitive–situative perspective. In S. Volet, & S. Järvelä (Eds.), Motivation in learning contexts: Theoretical and methodological implications (pp. 57–82). A volume in the EARLI/Pergamon “Advances in Learning and Instruction” series.

  • Waugh, R. M. (2002). A Grounded Theory Investigation of Dyadic Interactional Harmony and Discord: Development of a Nonlinear Dynamical Systems Theory and Process-Model. Unpublished dissertation.

  • Wigfield, A., & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25, 68–81.

    Google Scholar 

  • Yackel, E., & Cobb, P. (1996). Sociomathematical norms, argumentation, and autonomy in mathematics. Journal for Research in Mathematics Education, 27, 458–477.

    Article  Google Scholar 

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Eynde, P.O., Turner, J.E. Focusing on the Complexity of Emotion Issues in Academic Learning: A Dynamical Component Systems Approach. Educ Psychol Rev 18, 361–376 (2006). https://doi.org/10.1007/s10648-006-9031-2

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