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8 - Dynamic cycles of cognitive and brain development: Measuring growth in mind, brain, and education

from Part II - Brain development, cognition, and education

Published online by Cambridge University Press:  22 September 2009

Antonio M. Battro
Affiliation:
National Academy of Education, Argentina
Kurt W. Fischer
Affiliation:
Harvard University, Massachusetts
Pierre J. Léna
Affiliation:
Université de Paris VII (Denis Diderot)
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Summary

Overview

Since the seminal work of Jean Piaget on the relation between knowledge and general biology, researchers have started to understand the basic neurocognitive processes in the unfolding of human development. In particular, recent dynamic growth models illuminate the complex, interrelated changes that take place during brain growth, cognitive development, and learning. Neurocognitive development should be conceived not as a ladder of successive stages but as a complex network of interactions and attractors, convergent and divergent paths, nested cycles, stabilities and instabilities, progressions and regressions, clusters of discontinuities and stable levels of performance. Cycles of cortical development and cycles of cognitive performance seem to be related. In particular the relationship becomes most visible with optimal functioning of the cognitive system, such as when a good teacher or textbook supports a student's performance. A series of discontinuities in optimal cognitive growth define a ten-level developmental scale, which has many potential educational implications. More generally, the systematic growth cycles of cognition and brain have many implications for education, which are sometimes not straightforward. It is essential to the future of education that teachers become involved in neurocognitive research and neuroscientists discover the great theoretical and practical challenge of working in schools.

The Editors

Most scientists and teachers find it obvious that cognitive development and brain development go together, and the enterprise of connecting mind, brain, and education starts with that assumption, as evident in most chapters of this book.

Type
Chapter
Information
The Educated Brain
Essays in Neuroeducation
, pp. 127 - 150
Publisher: Cambridge University Press
Print publication year: 2008

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References

Bailey, D. B. Jr., Bruer, J. T., Symons, F. J., and Lichtman, J. W. (eds.) (2001). Critical Thinking About Critical Periods. Baltimore, MD: Paul H. Brookes Publishing.Google Scholar
Bell, M. A. (1998). The ontogeny of the EEG during infancy and childhood: Implications for cognitive development. In Garreau, B. (ed.) Neuroimaging in Child Psychiatric Disorders (pp. 97–111). Berlin: Springer-Verlag.CrossRefGoogle Scholar
Bell, M. A. and Fox, N. A. (1994). Brain development over the first year of life: Relations between electroencephalographic frequency and coherence and cognitive and affective behaviors. In Dawson, G. & Fischer, K. W. (eds.), Human Behavior and the Developing Brain (pp. 314–345). New York: Guilford Press.Google Scholar
Bell, M. A. and Fox, N. A.(1996). Crawling experience is related to changes in cortical organization during infancy: Evidence from EEG coherence. Developmental Psychobiology, 29, 551–561.3.0.CO;2-T>CrossRefGoogle ScholarPubMed
Bidell, T. R. and Fischer, K. W. (1992). Cognitive development in educational contexts: Implications of skill theory. In Demetriou, A., Shayer, M., & Efklides, A. (eds.), Neo-Piagetian Theories of Cognitive Development: Implications and Applications for Education (pp. 9–30). London: Routledge & Kegan Paul.Google Scholar
Blinkov, S. M. and Glezer, I. I. (1968). The Human Brain in Figures and Tables. New York: Plenum Press.Google Scholar
Case, R. (1998). The development of conceptual structures. In Kuhn, D. and Siegler, R. S. (eds.), and Damon, W. (Series ed.), Handbook of Child Psychology: Vol. II. Cognition, Perception, and Language. New York: Wiley.Google Scholar
Coch, D., Fischer, K. W., and Dawson, G. (eds.) (2007). Human Behavior, Learning and the Developing Brain: Normal Development (2nd edn.). New York: Guilford.Google Scholar
Dawson, G. and Fischer, K. W. (eds.) (1994). Human Behavior and the Developing Brain. New York: Guilford Press.Google Scholar
Dawson, T. and Wilson, M. (2004). The LAAS: A computerizable scoring system for small- and large-scale developmental assessments. Educational Assessment, 9, 153–191.CrossRefGoogle Scholar
Dawson-Tunik, T. L., Commons, M., Wilson, M., and Fischer, K. W. (2005). The shape of development. European Journal of Developmental Psychology, 2, 163–195.CrossRefGoogle Scholar
Dawson-Tunik, T. L. and Stein, Z. (in press). Cycles of research and application in science education. In Fischer, K. W. & Katzir, T. (eds.), Building Usable Knowledge in Mind, Brain, and Education. Cambridge: Cambridge University Press.
Epstein, H. T. (1974). Phrenoblysis: Special brain and mind growth periods. Developmental Psychobiology, 7, 207–224.CrossRefGoogle ScholarPubMed
Epstein, H. T.(1978). Growth spurts during brain development: Implications for educational policy and practice. In Chall, J. S. and Mirsky, A. F. (eds.), Education and the Brain (Yearbook of the NSSE). Chicago: University of Chicago Press.Google Scholar
Fischer, K. W. (1980). A theory of cognitive development: The control and construction of hierarchies of skills. Psychological Review, 87, 477–531.CrossRefGoogle Scholar
Fischer, K. W. and Bidell, T. R. (1998). Dynamic development of psychological structures in action and thought. In Lerner, R. M. (ed.) and Damon, W. (Series ed.), Handbook of Child Psychology: Vol. I. Theoretical Models of Human Development (5th edn., pp. 467–561). New York: Wiley.Google Scholar
Fischer, K. W. and Bidell, T. R.(2006). Dynamic development of action, thought, and emotion. In Lerner, R. M. (ed.) and Damon, W. (Series ed.), Handbook of Child Psychology: Vol. I. Theoretical Models of Human Development (6th edn., pp. 313–399). New York: Wiley.Google Scholar
Fischer, K. W. and Elmendorf, D. (1986). Becoming a different person: Transformations in personality and social behavior. In Perlmutter, M. (ed.), Cognitive Perspectives on Children's Social Development. Minnesota Symposium on Child Psychology, 18, 137–178. Hillsdale, NJ: Erlbaum.Google Scholar
Fischer, K. W., Immordino-Yang, M. H., and Waber, D. P. (2007). Toward a grounded synthesis of mind, brain, and education for reading disorders: An introduction to the field and this book. In Fischer, K. W., Bernstein, J. H., & Immordino-Yang, M. H. (eds.), Mind, Brain, and Education in Reading Disorders (pp. 3–15). Cambridge, UK: Cambridge University Press.Google Scholar
Fischer, K. W., Kenny, S. L., and Pipp, S. L. (1990). How cognitive processes and environmental conditions organize discontinuities in the development of abstractions. In Alexander, C. N. and Langer, E. J. (eds.), Higher Stages of Human Development: Perspectives on Adult Growth (pp. 162–187). New York: Oxford University Press.Google Scholar
Fischer, K. W. and Lazerson, A. (1984). Research: Brain spurts and Piagetian periods. Educational Leadership, 41(5), 70.Google Scholar
Fischer, K. W. and Rose, S. P. (1994). Dynamic development of coordination of components in brain and behavior: A framework for theory and research. In Dawson, G. and Fischer, K. W. (eds.), Human Behavior and the Developing Brain (pp. 3–66). New York: Guilford Press.Google Scholar
Fischer, K. W., Yan, Z., and Stewart, J. (2003). Adult cognitive development: Dynamics in the developmental web. In Valsiner, J. and Connolly, K. (eds.), Handbook of Developmental Psychology (pp. 491–516). Thousand Oaks, CA: Sage.Google Scholar
Granott, N. (2002). How microdevelopment creates macrodevelopment: Reiterated sequences, backward transitions, and the zone of current development. In Granott, N. and Parziale, J. (eds.), Microdevelopment: Transition Processes in Development and Learning (pp. 213–242). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Granott, N., Fischer, K. W., and Parziale, J. (2002). Bridging to the unknown: A transition mechanism in learning and problem-solving. In Granott, N. and Parziale, J. (eds.), Microdevelopment: Transition Processes in Development and Learning (pp. 131–156). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Hanlon, H. W., Thatcher, R. W. and Cline, M. J. (1999). Gender differences in the development of EEG coherence in normal children. Developmental Neuropsychology, 16, 479–506.CrossRefGoogle Scholar
Hudspeth, W. J. and Pribram, K. H. (1990). Stages of brain and cognitive maturation. Journal of Educational Psychology, 82, 881–884.CrossRefGoogle Scholar
Hudspeth, W. J. and Pribram, K. H. (1992). Psychophysiological indices of cerebral maturation. International Journal of Psychophysiology, 12, 19–29.CrossRefGoogle ScholarPubMed
John, E. R. (1977). Functional Neuroscience. Vol. II: Neurometrics. Hillsdale, NJ: Erlbaum.Google Scholar
Kitchener, K. S., Lynch, C. L., Fischer, K. W., and Wood, P. K. (1993). Developmental range of reflective judgment: The effect of contextual support and practice on developmental stage. Developmental Psychology, 29, 893–906.CrossRefGoogle Scholar
Lampl, M., Veldhuis, J. D., and Johnson, M. L. (1992). Saltation and stasis: A model of human growth. Science, 258, 801–803.CrossRefGoogle ScholarPubMed
Matousek, M. and Petersén, I. (1973). Frequency analysis of the EEG in normal children and adolescents. In Kellaway, P. and Petersén, I. (eds.), Automation of Clinical Electroencephalography (pp. 75–102). New York: Raven Press.Google Scholar
Molenaar, P. C. M. (2004). A manifesto on psychology as idiographic science: Bringing the person back into scientific psychology, this time forever. Measurement, 2, 201–218.Google Scholar
Noonan, K. J., Farnum, C. E., Leiferman, E. M., Lampl, M., Markel, M. D., and Wilsman, N. J. (2004). Growing pains: Are they due to increased growth during recumbency as documented in a lamb model? Journal of Pediatric Orthopedics, 24, 726–731.CrossRefGoogle Scholar
Piaget, J. (1983). Piaget's theory. In Kessen, W. (ed.) and Mussen, P. H. (Series ed.), Handbook of Child Psychology: Vol. I. History, theory, and methods (pp. 103–126). New York: Wiley.Google Scholar
Rakic, P. (1971). Guidance of neurons migrating to the fetal monkey neocortex. Brain Research, 33, 471–476.CrossRefGoogle ScholarPubMed
Rakic, P.(1988). Specification of cerebral cortical areas. Science, 241, 170–176.CrossRefGoogle ScholarPubMed
Reznick, J. S. and Goldfield, B. A. (1992). Rapid change in lexical development in comprehension and production. Developmental Psychology, 28, 406–413.CrossRefGoogle Scholar
Ruhland, R. and Geert, P. (1998). Jumping into syntax: Transitions in the development of closed class words. British Journal of Developmental Psychology, 16(Pt 1), 65–95.CrossRefGoogle Scholar
Salomon, G. and Perkins, D. N. (1989). Rocky roads to transfer: Rethinking mechanisms of a neglected phenomenon. Educational Psychologist, 24, 185–221.CrossRefGoogle Scholar
Schwartz, M. S. and Fischer, K. W. (2005). Building general knowledge and skill: Cognition and microdevelopment in science learning. In Demetriou, A. and Raftopoulos, A. (eds.), Cognitive Developmental Change: Theories, Models, and Measurement. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Siegler, R. S. (1997). Children's Thinking (3rd edn.). Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Snow, C. E. and Hoefnagel-Hohle, M. (1978). The critical period for language acquisition: Evidence from second language learning. Child Development, 49, 1114–1128.CrossRefGoogle Scholar
Somsen, R. J. M., Klooster, B. J., Molen, M. W., Leeuwen, H. M. P., and Licht, R. (1997). Growth spurts in brain maturation during middle childhood as indexed by EEG power spectra. Biological Psychology, 44, 187–209.CrossRefGoogle ScholarPubMed
Stauder, J. E. A. M., Peter, C. M., and Molen, M. W. (1999). Brain activity and cognitive transition during childhood: A longitudinal event-related brain potential study. Child Neuropsychology, 5, 41–59.CrossRefGoogle Scholar
Thatcher, R. W. (1992). Cyclic cortical reorganization during early childhood. Special Issue: The role of frontal lobe maturation in cognitive and social development. Brain & Cognition, 20(1), 24–50.CrossRefGoogle Scholar
Thatcher, R. W.(1994). Cyclic cortical reorganization: Origins of human cognitive development. In Dawson, G. and Fischer, K. W. (eds.), Human Behavior and the Developing Brain (pp. 232–266). New York: Guilford Press.Google Scholar
van der Molen, M. W. and Molenaar, P. C. M. (1994). Cognitive psychophysiology: A window to cognitive development and brain maturation. In Dawson, G. and Fischer, K. W. (eds.), Human Behavior and the Developing Brain (pp. 456–490). New York: Guilford.Google Scholar
Yan, Z. and Fischer, K. W. (2002). Always under construction: Dynamic variations in adult cognitive development. Human Development, 45, 141–160.CrossRefGoogle Scholar

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