Neuroscience and Education : Issues and Opportunities

Improving education is a national priority for the UK. In this Commentary, we explore the scope for our emerging knowledge of the working of the brain to contribute to better educational outcomes, especially for children. This publication unites two of the Economic and Social Research Council's principal concerns. One is for education. The Teaching and Learning Research Programme is the ESRC's largest research initiative. It is dedicated to performing excellent research that leads to better education for people at all stages of life. From its inception, it has promoted discussion of the link between education and neuroscience. In addition, the ESRC is one of the UK's main supporters of psychology research. Our programmes reflect an awareness that our knowledge of the brain is growing in power, and will be relevant to areas of social science such as economic and political behaviour as well as to education. In this publication, the latest in a series of TLRP Commentaries, researchers supported by the TLRP point to a range of issues at the junction between neuroscience and education. As they say, the brain is the principal organ involved in learning. It is natural that our increased knowledge of its working can inform educational practice. But as they also make clear, attempts to introduce neuroscience approaches into the classroom have to date been of mixed quality. Often they have relied too little upon research evidence and too much on impressive-sounding but scientifically questionable formulae. The authors leave us in no doubt that these are early days in this story. Because of the rapid progress now being observed throughout neuroscience, some approaches that are now in use may soon be seen to be invalid. Others that are now used will become better-corroborated. And unexpected approaches may emerge from research now under way. The ESRC is delighted to be involved in this exciting new field of science. We are keen that it should not be regarded as a one-way process in which neuroscience sheds light on how people learn. Instead, we want a two-way cooperation in which our knowledge of learning and of the brain feed one another. The result will be new knowledge about neuroscience and about education, and improved learning outcomes.

[1]  E. Kozminsky,et al.  The effect of voluntary dehydration on cognitive functions of elementary school children , 2005, Acta paediatrica.

[2]  P. Rakić Corticogenesis in human and nonhuman primates. , 1995 .

[3]  S. Czaja,et al.  Cognitive rehabilitation of mildly impaired Alzheimer disease patients on cholinesterase inhibitors. , 2004, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[4]  A. Thielscher,et al.  Cholinergic enhancement of episodic memory in healthy young adults , 2005, Psychopharmacology.

[5]  M. McKinnon,et al.  The Effect of Involving Classroom Teachers in a Parent Training Program for Families of Children with ADHD , 2005 .

[6]  James P. Byrnes,et al.  The Educational Relevance of Research in Cognitive Neuroscience , 1998 .

[7]  P. Skudlarski,et al.  Disruption of posterior brain systems for reading in children with developmental dyslexia , 2002, Biological Psychiatry.

[8]  Suzanne E. Welcome,et al.  Mapping cortical change across the human life span , 2003, Nature Neuroscience.

[9]  Liane Kaufmann,et al.  Evaluation of a Numeracy Intervention Program Focusing on Basic Numerical Knowledge and Conceptual Knowledge , 2003, Journal of learning disabilities.

[10]  S. Andersen Stimulants and the developing brain. , 2005, Trends in pharmacological sciences.

[11]  F. Bellisle Effects of diet on behaviour and cognition in children. , 2004, The British journal of nutrition.

[12]  E. Spelke,et al.  Sources of mathematical thinking: behavioral and brain-imaging evidence. , 1999, Science.

[13]  T. Manolio,et al.  Education and the cognitive decline associated with MRI-defined brain infarct , 2006, Neurology.

[14]  G J Hitch,et al.  The prevalence of specific arithmetic difficulties and specific reading difficulties in 9- to 10-year-old boys and girls. , 1994, Journal of child psychology and psychiatry, and allied disciplines.

[15]  John R. Anderson,et al.  The change of the brain activation patterns as children learn algebra equation solving. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[16]  S. Pickering,et al.  Working memory and education , 2006 .

[17]  P. Huttenlocher Synaptic density in human frontal cortex - developmental changes and effects of aging. , 1979, Brain research.

[18]  U. Goswami Neuroscience and education: from research to practice? , 2006, Nature Reviews Neuroscience.

[19]  S. Blakemore,et al.  The learning brain: lessons for education: a précis. , 2005, Developmental science.

[20]  P. Howard-Jones,et al.  Co-constructing an understanding of creativity in drama education that draws on neuropsychological concepts , 2008 .

[21]  U. Goswami,et al.  Amplitude envelope onsets and developmental dyslexia: A new hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[22]  T. Egner,et al.  Learned self-regulation of EEG frequency components affects attention and event-related brain potentials in humans , 2001, Neuroreport.

[23]  F. Richard Ferraro,et al.  Understanding developmental disorders: A causal modelling approach , 2008 .

[24]  H. Koizumi The concept of ‘developing the brain’: a new natural science for learning and education , 2004, Brain and Development.

[25]  Paul C. Fletcher,et al.  Regional Brain Activations Predicting Subsequent Memory Success: An Event-Related Fmri Study of the Influence of Encoding Tasks , 2003, Cortex.

[26]  D. Berch,et al.  Extracting parity and magnitude from Arabic numerals: developmental changes in number processing and mental representation. , 1999, Journal of experimental child psychology.

[27]  John C Gore,et al.  Neural systems for compensation and persistence: young adult outcome of childhood reading disability , 2003, Biological Psychiatry.

[28]  S. Dehaene,et al.  THREE PARIETAL CIRCUITS FOR NUMBER PROCESSING , 2003, Cognitive neuropsychology.

[29]  Tobias Egner,et al.  Physiological self-regulation: biofeedback and neurofeedback , 2004 .

[30]  O. Bar-or,et al.  Voluntary hypohydration in 10- to 12-year-old boys. , 1980, Journal of applied physiology: respiratory, environmental and exercise physiology.

[31]  J. Morton,et al.  Causal modeling: A structural approach to developmental psychopathology. , 1995 .

[32]  Sarah-Jayne Blakemore,et al.  Social cognitive development during adolescence. , 2006, Social cognitive and affective neuroscience.

[33]  Ian R Summers,et al.  Semantic divergence and creative story generation: an fMRI investigation. , 2005, Brain research. Cognitive brain research.

[34]  S. Blakemore,et al.  Development of the adolescent brain: implications for executive function and social cognition. , 2006 .

[35]  Judy Reilly,et al.  Cognitive efficiency on a match to sample task decreases at the onset of puberty in children , 2002, Brain and Cognition.

[36]  P. Skudlarski,et al.  Development of left occipitotemporal systems for skilled reading in children after a phonologically- based intervention , 2004, Biological Psychiatry.

[37]  S. Kosslyn Mental images and the Brain , 2005, Cognitive neuropsychology.

[38]  Björn Rasch,et al.  Combined Blockade of Cholinergic Receptors Shifts the Brain from Stimulus Encoding to Memory Consolidation , 2006, Journal of Cognitive Neuroscience.

[39]  S. Petersen,et al.  Neuroimaging studies of word reading. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[40]  Thomas A Zeffiro,et al.  Development of neural mechanisms for reading , 2003, Nature Neuroscience.

[41]  C. L. Jensen,et al.  A randomized, double-blind, placebo-controlled trial of docosahexaenoic acid supplementation in children with attention-deficit/hyperactivity disorder. , 2001, The Journal of pediatrics.

[42]  P. Rogers,et al.  A drink of water can improve or impair mental performance depending on small differences in thirst , 2001, Appetite.

[43]  R. Poldrack,et al.  Disrupted neural responses to phonological and orthographic processing in dyslexic children: an fMRI study , 2001, Neuroreport.

[44]  Margarete Delazer,et al.  Learning by strategies and learning by drill—evidence from an fMRI study , 2005, NeuroImage.

[45]  K. Stevens,et al.  Linguistic experience alters phonetic perception in infants by 6 months of age. , 1992, Science.

[46]  B. Puri,et al.  A randomized double-blind, placebo-controlled study of the effects of supplementation with highly unsaturated fatty acids on ADHD-related symptoms in children with specific learning difficulties , 2002, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[47]  E. J. Capaldi,et al.  The Development of numerical competence : animal and human models , 1993 .

[48]  Christian Raphel,et al.  Influence of Variations in Body Hydration on Cognitive Function: Effect of Hyperhydration, Heat Stre , 2000 .

[49]  Beatriz Luna,et al.  Algebra and the adolescent brain , 2004, Trends in Cognitive Sciences.

[50]  D. Bennett,et al.  Consumption of fish and n-3 fatty acids and risk of incident Alzheimer disease. , 2003, Archives of neurology.

[51]  M. Diamond,et al.  Rat cortical morphology following crowded-enriched living conditions , 1987, Experimental Neurology.

[52]  A. Miranda,et al.  Effectiveness of a School-Based Multicomponent Program for the Treatment of Children with ADHD , 2002, Journal of learning disabilities.

[53]  F. Coffield Learning styles and pedagogy in post-16 learning: a systematic and critical review , 2004 .

[54]  A. Richardson Omega-3 fatty acids in ADHD and related neurodevelopmental disorders , 2006, International review of psychiatry.

[55]  P. Starkey,et al.  Perception of numbers by human infants. , 1980, Science.

[56]  Gregory P. Krätzig,et al.  Perceptual learning style and learning proficiency: A test of the hypothesis. , 2006 .

[57]  D. Sclar,et al.  National Trends in the Prevalence of Attention-Deficit/Hyperactivity Disorder and the Prescribing of Methylphenidate among School-Age Children: 1990-1995 , 1999, Clinical pediatrics.

[58]  P. Rogers,et al.  Psychostimulant and other effects of caffeine in 9- to 11-year-old children. , 2006, Journal of child psychology and psychiatry, and allied disciplines.

[59]  G. Khalsa,et al.  Effect of Educational Kinesiology upon Simple Response Times and Choice Response Times , 1991, Perceptual and motor skills.

[60]  L. Frank The Society for Research in Child Development , 1935 .

[61]  J. Morton Understanding Developmental Disorders: A Causal Modelling Approach , 2005 .

[62]  D G Gadian,et al.  Calculation difficulties in children of very low birthweight: a neural correlate. , 2001, Brain : a journal of neurology.

[63]  Axel Cleeremans,et al.  Experience-dependent changes in cerebral activation during human REM sleep , 2000, Nature Neuroscience.

[64]  K. Kleinman,et al.  Maternal Fish Consumption, Hair Mercury, and Infant Cognition in a U.S. Cohort , 2005, Environmental health perspectives.

[65]  G. DuPaul,et al.  The Effects of Self-Management in General Education Classrooms on the Organizational Skills of Adolescents With ADHD , 2006, Behavior modification.

[66]  Steven L. Miller,et al.  Neural deficits in children with dyslexia ameliorated by behavioral remediation: Evidence from functional MRI , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[67]  R. N. Davis,et al.  Dyslexia-specific brain activation profile becomes normal following successful remedial training , 2002, Neurology.

[68]  A. Friederici,et al.  Discrimination of word stress in early infant perception: electrophysiological evidence. , 2004, Brain research. Cognitive brain research.

[69]  J. Geake Cognitive neuroscience and education: two‐way traffic or one‐way street? , 2004 .

[70]  M. Delazer,et al.  Learning complex arithmetic--an fMRI study. , 2003, Brain research. Cognitive brain research.

[71]  P. Rogers,et al.  Regular Caffeine Consumption: A Balance of Adverse and Beneficial Effects for Mood and Psychomotor Performance , 1998, Pharmacology Biochemistry and Behavior.