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Educational Neuroscience |
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Copyright |
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Dedication |
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Contents |
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List of Contributors |
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Preface |
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Foreword: Imaging the Future |
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Chapter 1Introduction |
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The Nature of the Discipline |
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Three Disciplines: Education, Psychology, Neuroscience |
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Phase 1. Education and psychology |
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Phase 2. Psychology and neuroscience |
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Phase 3. Emergence of educational neuroscience |
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Issues and Problems in Developing Educational Neuroscience |
25 |
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References |
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Chapter 2Neuroimaging Methods |
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Electroencephalography and Event-Related Potentials |
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Principles of EEG recording and averaging ERPs |
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Making sense of ERP components |
36 |
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ERPs and development |
38 |
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Strengths and limitations of the ERP technique with developmental populations |
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Near-Infrared Spectroscopy (NIRS) |
42 |
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General principles and applications of NIRS |
43 |
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Studies of development using NIRS |
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Magnetic Resonance Imaging (MRI) |
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Background and safety |
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Basic components of MRI |
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Basic physics of MRI |
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How are MR images generated? |
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Varieties of MR images |
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The challenges of studying children using MRI |
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Studies of development using MRI |
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Other Neuroimaging Techniques |
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Conclusions |
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References |
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Further Reading |
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Chapter 3Computational Modeling of Learning and Teaching |
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Introduction |
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Computational Models of Cognition |
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The use of models to understand mechanisms of learning |
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General principles and aims of computational models of learning |
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Examples of symbolic and subsymbolic cognitive models: ACT-R and artificial neural networks |
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An example of cognitive modeling in educational neuroscience: individual differences in language development |
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The broader perspective: neuroconstructivism and education |
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The future of cognitive modeling in education |
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Computers as Teaching Systems |
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Educational models of teaching and learning |
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Computational modeling of teaching and learning: intelligent tutoring systems |
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Computational modeling: adaptive microworlds |
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The computational modeling of pedagogy |
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An example of an adaptive microworld |
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Contrasting perspectives on “feedback” |
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Conclusion |
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Acknowledgements |
91 |
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References |
92 |
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Further Reading |
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Chapter 4Genetics for Education |
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Genetics for Education: What is in the Toolkit? |
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Quantitative Genetics for Education |
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Estimating the relative contributions of genes and environments to variation in educationally relevant traits |
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Etiology of sex differences |
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The contribution of the teacher and the classroom to individual variation |
107 |
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Conceptualizing learning disability |
108 |
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Etiology of the links across abilities and ages |
109 |
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Understanding of the role of the environment |
114 |
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Molecular Genetics for Education |
118 |
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The QTL perspective |
118 |
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Genome-wide association studies (GWAS) |
119 |
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Cross-Cultural Behavioral Genetic Research |
120 |
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Conclusion |
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Acknowledgements |
122 |
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References |
123 |
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Further Reading |
127 |
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Chapter 5Research Methods in Educational Psychology |
128 |
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Different Types of Approach to Educational Research |
128 |
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Deciding What to Measure |
129 |
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Behavioral measures |
129 |
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Report measures |
135 |
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Demographic and environmental measures |
137 |
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Choosing a Study Design |
138 |
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Sampling issues |
138 |
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Quasi-experimental designs |
139 |
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Experimental designs |
141 |
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Nonexperimental designs |
144 |
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Conclusion |
147 |
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References |
148 |
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Further Reading |
151 |
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Chapter 6Language Development |
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Language in Infancy and Early Childhood 0–5 years |
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The impact of intrinsic factors on language development |
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The impact of socioeconomic status on language development |
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Language Development in the Primary-School Years 5–12 |
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The specialization of neural systems for language |
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Children with specific language impairments |
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Alternative developmental pathways: the case of TZ |
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Language Development in Adolescence |
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Language behavior in adolescence |
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The neural substrates of adolescent language |
172 |
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Educational neuroscience in adolescence |
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Sensitive Periods in Language Development |
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Defining sensitive periods |
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Sensitive periods for foreign language learning |
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The impact of early deprivation |
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Summary and Conclusion |
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References |
179 |
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Further Reading |
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Chapter 7Literacy Development |
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Language in the Brain |
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Inferring cerebral function through observed dysfunction |
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To read and read not… |
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Neuroimaging Studies of Reading |
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What is the difference in brain activation between dyslexic readers and skilled readers? |
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Educational neuroscience and dyslexia |
203 |
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Individual Differences |
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Learning to Read and Failing to Read in Different Languages |
212 |
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Conclusion |
213 |
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References |
214 |
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Chapter 8Mathematical Development |
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Introduction |
219 |
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Neural roadmap |
220 |
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Theoretical roadmap |
221 |
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Two important effects |
223 |
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Mathematical Development |
225 |
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Infancy and childhood (0–5) |
225 |
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Primary and middle childhood (5–12) |
226 |
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Lifelong learning (adulthood) |
227 |
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Embodied Understanding of Numbers and Arithmetic |
228 |
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Individual Differences in Mathematical Achievement |
231 |
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Primary and middle childhood (5–12) |
232 |
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Secondary school and adolescence (12–18) |
232 |
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Lifelong learning (adulthood) |
233 |
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Dyscalculia |
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Dyscalculia as a core deficit in processing numerosities |
234 |
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Dyscalculia in primary and middle childhood (5–12) |
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Lifelong learning |
237 |
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Educating the Mathematical Brain |
237 |
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Methods of instruction |
238 |
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Individual differences |
239 |
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Future Directions |
244 |
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Negative numbers |
244 |
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Place value |
245 |
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Algebra |
246 |
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Neural stimulation |
247 |
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References |
248 |
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Chapter 9The Development and Application of Scientific Reasoning |
255 |
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What is Scientific Reasoning? |
255 |
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Historical Approaches to the Study of Domain-General and Domain-Specific Scientific Reasoning |
256 |
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Causal Reasoning |
258 |
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Deductive Reasoning |
267 |
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Analogical Reasoning |
273 |
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Summary |
277 |
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Future Directions |
278 |
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References |
279 |
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Further Reading |
285 |
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Chapter 10Social Development |
286 |
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Introduction |
286 |
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Early Development of the Social Brain |
286 |
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Face Processing |
287 |
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Gaze Processing |
289 |
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Joint Attention |
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Action Observation |
293 |
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Social Brain Development in Childhood and Adolescence |
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Face Processing |
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Theory of Mind Development |
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Online Mentalizing Usage is Still Developing in Mid-adolescence |
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Social Evaluation: Acceptance and Rejection |
303 |
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Implications for Education |
306 |
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Acknowledgments |
308 |
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References |
309 |
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Further Reading |
314 |
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Chapter 11Emotional Development |
315 |
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Introduction |
315 |
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Emotion and education |
316 |
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Preschool Years |
317 |
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Temperament |
317 |
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Emotion regulation |
319 |
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Middle Years |
321 |
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Social, emotional, and behavioral difficulties |
321 |
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Autistic spectrum disorders |
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Behavioral problems |
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Secondary School and Adolescence |
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Motivation |
327 |
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Psychological well-being and mental-health concerns |
329 |
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Lifelong Learning |
331 |
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The emotional experiences of undergraduates |
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Stress as an obstacle in lifelong learning |
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Conclusion |
334 |
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References |
334 |
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Further Reading |
342 |
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Chapter 12Attention and Executive Control |
343 |
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Defining Prefrontal Executive Functions in Children |
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Structure of executive function |
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Neural bases |
344 |
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Academic achievement |
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Basic Components of Executive Function: Development, Brain Bases, and Links to Academic Achievement |
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Inhibition |
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Relation to academic skills |
349 |
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Working memory |
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Links to academic skills in school-aged children |
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Shifting |
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Links to academic skills |
354 |
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Are Links Between Academic Skills, Executive Functions, and Attention Related to Overlapping Brain Systems? |
355 |
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Effects of Training |
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Training specific executive skills |
357 |
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Complex activity-based training |
358 |
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Summary and Conclusions |
359 |
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References |
360 |
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Further Reading |
366 |
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Afterword |
367 |
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Introduction |
367 |
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What Has Changed for the Better? |
368 |
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The Methods of Educational Neuroscience |
371 |
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Educational Neuroscience and Subject Matter |
372 |
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One Bridge or Two: What Difference Does It Make? |
373 |
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Neuroprognosis |
375 |
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Conclusion |
378 |
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References |
379 |
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Index |
382 |
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