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New discoveries in the field of developmental cognitive neuroscience hold great promise for improving current teaching methods. Yet there remains a significant gap between the scientific discoveries that could improve our education system and the application of this knowledge. This meeting will highlight cutting-edge developments in cognitive neuroscience that could improve current teaching methods and will include a careful review of the current obstacles to applying these methods in the classroom as well as the related emotional, sociological, and environmental factors. Keynote lectures will feature Goldie Hawn (The Hawn Foundation) and Carl Wieman (White House Office of Science and Technology Policy).
Registration Pricing
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By: 8/05/2011 |
After: 8/05/2011 |
Onsite: 9/22/2011 |
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$395 |
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$295 |
| Nonmember Corporate |
$495 |
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$650 |
| Nonmember Academia |
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| Nonmember Not for Profit |
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| Student / Postdoc / Fellow Nonmember |
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Presented by
Agenda
* Presentation times are subject to change
Day 1: Thursday, September 22
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5:00 PM
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Registration
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5:30 PM
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Welcome Remarks
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5:45 PM
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Keynote Address
The Brain and The Optimistic Classroom: Mindful Learning, Resilient Students Goldie Hawn, The Hawn Foundation (creators of MindUp Curriculum)
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6:30 PM
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Networking Reception
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Day 2: Friday, September 23
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8:00 AM
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Registration & Continental Breakfast
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Session 1: Early Learning and Development
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9:00 AM
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Developing Self Regulation in Prekindergarten Classrooms Dale C. Farran, PhD, Vanderbilt University
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9:20 AM
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Development of Executive Function Stephanie M. Carlson, PhD, University of Minnesota
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9:40 AM
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Executive Function and School Readiness Clancy Blair, PhD, NYU
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10:00 AM
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Defining Developmental Disorders Bruce Pennington, PhD, University of Denver
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10:30 AM
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Coffee Break
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Session 2: Reading and Language
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11:00 AM
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Language Learning, Plasticity and the 'Achievement Gap' Mark S. Seidenberg, PhD, University of Wisconsin
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11:20 AM
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How Instructors Direct a Learner’s Attention Impacts Neural Changes During Reading Acquisition Bruce D. McCandliss, PhD, Vanderbilt University
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11:40 AM
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Neuroimaging Studies of Reading and Language Development: An Update on Recent Findings Kenneth R. Pugh, PhD, Haskins Laboratories
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12:00 PM
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Neural Oscillations, Phonology and Dyslexia: A Temporal Sampling Framework Usha Claire Goswami, PhD, University of Cambridge |
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12:30 PM
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Lunch Sponsored by Lindamood-Bell Learning Processes
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Session 3: Mathematical Reasoning
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2:00 PM
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Evolutionary and Developmental Origins of the Approximate Number System: Foundations of Mathematical Thinking Elizabeth M. Brannon, PhD, Duke University
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2:20 PM
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Predicting Math Achievement Lisa Feigenson, PhD, John Hopkins University
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2:40 PM
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Education Dependent Brain Plasticity: Linking Quantities and Symbols during the Early Elementary School Years Edward M. Hubbard, PhD, Vanderbilt University
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3:00 PM
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Coffee Break
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Session 3 (cont'd): Mathematical Reasoning
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3:30 PM
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Does Number Sense Matter? Evidence from Brain and Behavior Daniel Ansari, PhD, The University of Western Ontario
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3:50 PM
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Conceptual Development in Mathematics Daniel L. Schwartz, PhD, Stanford University
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4:10 PM
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The Myth of Ability: Nurturing Mathematical Talent in Every Child John Mighton, PhD, JUMP Math
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4:30 PM
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Panel Discussion
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5:30 PM
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Day 2 Concludes
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Day 3: Saturday, September 24
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8:00 AM
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Registration & Continental Breakfast
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9:00 AM
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Keynote Address
The Torturous Path from Cognitive Science to Educational Improvement Carl E. Wieman, PhD, The White House Office of Science and Technology Policy
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Session 4: Executive Functioning and Attention
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9:50 AM
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Applying What We Know From Scientific Research in Developmental Cognitive Neuroscience to How Schools Can Enhance Executive Function Development in Young Children Adele Diamond, PhD, University of British Columbia
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10:10 AM
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Learning to Learn: Lessons from Action Video Game Play Daphne Bavelier, PhD, University of Rochester and University of Geneva
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10:30 AM
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Coffee Break
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Session 4 (cont'd): Executive Functioning and Attention
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11:00 AM
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Training of Working Memory and Its Potential Role in Education Torkel Klingberg, MD, PhD, Karolinska Institute
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11:20 AM
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Intensive Reasoning Training Alters Patterns of Brain Connectivity at Rest Silvia A. Bunge, PhD, University of California at Berkeley |
11:40 AM
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How Attention and Working Memory Processes are Modified by Training Amishi P. Jha, PhD, University of Miami |
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12:00 PM
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Lunch Break
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1:00 PM
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Presentation of Aspen Brain Forum Prize in NeuroEducation
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Session 5: Poverty, Brain Development, and Education
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1:30 PM
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Effect of Socioeconomic Status on Attention Eric Pakulak, PhD, University of Oregon
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1:50 PM
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Exploring the Role of Community and Neighborhood Environment on Early School Readiness Laurie Ford, PhD, University of British Columbia
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2:10 PM
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Poverty: A Critical Barrier to Outstanding Academic Performance Frank C. Worrell, PhD, University of California, Berkeley
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2:30 PM
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TBD
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Session 6: Translating Research into the Classroom
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2:50 PM
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Getting and Keeping the Brain’s Attention Judy Willis, MD, University of California, Santa Barbara |
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3:10 PM
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The Science of Learning in Action: The Learning Resource Network and the Ultimate Block Party Susan H. Magsamen, Johns Hopkins University
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3:30 PM
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What's Really Hard About Reading: Preparing Students for Deep Comprehension Catherine Snow, PhD, Harvard Graduate School of Education
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4:00 PM
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Panel Discussion
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5:00 PM
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Meeting Adjourns
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Speakers
Organizers
University of Rochester and University of Geneva
University of British Columbia
Vanderbilt University
Haskins Laboratories
Keynote Speakers
The Hawn Foundation
Carl E. Wieman, PhD
The White House Office of Science and Technology Policy
Speakers
The University of Western Ontario
Clancy Blair, PhD
New York University
Duke University
University of California at Berkeley
University of Minnesota
Vanderbilt University
John Hopkins University
University of British Columbia
University of Cambridge
Vanderbilt University
University of Miami
Karolinska Institute
John Hopkins University
JUMP Math
University of Oregon
University of Denver
Stanford University
University of Wisconsin
Harvard Graduate School of Education
University of California, Santa Barbara
University of California, Berkeley
Abstracts
Day 1: Thursday, September 22, 2011
Keynote Address
The Brain and The Optimistic Classroom: Mindful Learning, Resilient Students
Goldie Hawn, The Hawn Foundation
Schools are under great pressure to provide students with a body of knowledge and skills in safe and secure environments so these children can navigate the heady seas of childhood and emerge as well-adjusted, successful, and happy adults. In recent years, neuroscience has become an important and essential ingredient of teaching excellence. Great teachers have always sensed what methods worked; yet, advances in brain-imaging technology and cognitive neuroscience and psychology research have now made it possible to correlate experiential knowledge with empirical scientific research and emergent educational theory. That the nurturing environment of an "optimistic classroom" yields more focused, joyful attitudes toward learning among children points to a direct correlation between events at the cellular level of the brain and human behavior and thought processes. When teachers effectively use strategies to reduce emotional distress and build a positive learning environment based on how the brain processes sensory input and data, students gain emotional resilience and learn more efficiently and at higher levels of cognition. The better children understand their thoughts and feelings and the more they know about their brains, the easier it is for them to be aware and in control of their behavior and dispositions. To establish the optimal educational environment, children's brains need to be open and ready for learning if they are to acquire new information and process it effectively. In fact, children may learn the tools of self-awareness and emotional regulation that promotes optimal learning. By cultivating greater self-awareness, children can understand better how to respond to their world reflectively instead of reflexively. As researchers and practitioners are demonstrating, teachers as well as students benefit from being able to connect the neuroscience of learning to the arts of teaching and learning.
Abstracts
Day 2: Friday, September 23, 2011
Session 1: Early Learning and Development
Developing Self Regulation in Prekindergarten Classrooms
Dale C. Farran, PhD, Peabody Research Institute, Vanderbilt University, Nashville
A subset of direct assessments of self-regulation in young children (that are not computer based) has been demonstrated to correlate with achievement and to predict achievement gains across the prekindergarten year and into kindergarten. The strongest of these includes Peg Tapping, Head Toes, Knees, & Shoulders, Copy Design, and Backward Digit Span. Of great interest is whether the skills tapped by these measures are malleable and can be facilitated by particular early childhood curricula or activities. One early childhood curriculum, Tools of the Mind, is specifically focused on facilitating the development of self-regulation. We have recently completed a large scale experimental evaluation of the curriculum involving 800 children in 60 classrooms in 5 school systems in 2 states; 32 of the teachers were randomly assigned to be trained in the curriculum while the others served as a "business as usual" control group. Data were collected during the second year of implementation. Children were individually assessed in both achievement and self-regulation. Classrooms were observed in detail for curriculum implementation and also with detailed assessments of teacher and child behaviors and classroom organization. Aspects of the curriculum appear to have the opposite effect of that intended by the developers, but other practices observed across all 60 classrooms were predictive of gains in self-regulation. These data demonstrate that the malleability of these important skills is possible but also that further extensive empirical investigations may be required to determine exactly what activities will work.
Coauthors: Mark W. Lipsey and Sandra J. Wilson, Peabody Research Institute, Vanderbilt University, Nashville
Development of Executive Function
Stephanie M. Carlson, PhD, University of Minnesota
Executive function (EF) represents a highly complex, interrelated set of neurocognitive abilities that are critical for adaptive function, including working memory, inhibitory control, and flexible thinking. EF is most closely associated with prefrontal cortex and enables individuals to engage in conscious, goal-directed thought and action under novel or unfamiliar circumstances. For example, EF is needed to resist old habits of mind when faced with new problems to solve. The notion of EF in childhood has received increasing attention, as reflected by a five-fold increase in the number of developmental psychology journal publications on this topic in the last decade. One reason is that executive dysfunction has been implicated in a number of childhood disorders (e.g., ADHD, autism, and conduct disorder). Moreover, recent methodological advances have enabled us to measure normative EF development, especially in the preschool period. The evidence suggests that individual differences in EF, as well as deliberate training of EF skills, can have lasting effects on educational achievement. In this presentation, Dr. Carlson will help set the stage for the forum by introducing EF and describing of some of the key inputs to its development in early childhood.
Executive Function and School Readiness
Clancy Blair, PhD, New York University
This paper presents theory and data in support of a psychobiological model of self-regulation development emphasizing relations between stress physiology and psychological development. We propose that aspects of early experience essentially channel or tune stress response systems and thereby self-regulation tendencies, leading to either more emotionally reactive or more prototypically well regulated, reflective behaviors. We examine child development in the context of poverty and present a series of findings relating to ways in which the environment of poverty influences executive function and thereby school readiness development. Data from a representative sample of 1,292 children and families in predominantly low income and non-urban communities followed longitudinally from birth are presented. Executive function was assessed at ages 36, 48, and 60 months using a combination of span-type and self-ordered pointing working memory tasks, spatial conflict, go no-go, and silly sounds Stroop inhibitory control tasks, and an item selection attention flexibility task. Resting salivary cortisol and salivary alpha amylase as well as cortisol reactivity and regulation were also examined. Findings indicated mediation of effects of the early environment on later executive function and school readiness through cortisol and amylase. Unique effects of environmental factors and cortisol and amylase on these outcomes were also observed.
Coauthors: Michael Willoughby 1 and FLP Investigators 1,2
1. University of North Carolina, Chapel Hill
2. Penn State University
Definitions and Comorbidities of Developmental Disorders
Bruce F. Pennington, PhD, University of Denver
Prevalent developmental disorders, such as dyslexia (RD), ADHD, language impairment (LI), and speech sound disorder (SSD), are defined behaviorally as extreme portions of normally distributed traits, so any particular diagnostic cutoff is somewhat arbitrary. In this talk, I will briefly define these disorders, and then discuss how genetic and cognitive methods can be used to understand why these disorders co-occur (i.e. are comorbid). Our research using these methods supports a multiple deficit model of individual disorders and their comorbidity. In this model, each single disorder has multiple genetic and cognitive risk factors and comorbidity is caused by partial genetic and cognitive overlap. So, RD and ADHD share some genetic risk loci and share a deficit in processing speed. RD and SSD also share some genetic risk loci and a cognitive deficit in phonological awareness, yet interestingly their comorbidity is mediated by a third disorder, LI. The comorbidity between SSD and ADHD is also mediated by LI. So, more research is needed to understand the genetic and cognitive relations between LI and the other three disorders.
Session 2: Reading and Language
Language Learning, Plasticity, and the "Achievement Gap"
Mark S. Seidenberg, PhD, Department of Psychology, University of Wisconsin–Madison
There is enormous underutilized potential to bring modern research on the behavioral and brain bases of language and cognition to bear on critical issues in education. I will present research concerning the seemingly intractable "achievement gap" in reading between African American children and whites. This gap is not wholly explained by SES or environmental factors, and it increases during the first few years of schooling. One neglected factor is differences in language background. Building on research on language learning and neuroplasticity, we have begun to examine how differences between home and school dialects affect children's classroom experiences. Other factors aside, children who speak a "nonstandard" dialect such as African American English face a more complex learning environment than children who speak the "standard" dialect: they are learning to accommodate the standard dialect while acquiring reading, math and other skills. Because all children are assessed against the same achievement standards, a "gap" results. This research also suggests ways in which the impacts of dialect differences could potentially be ameliorated.
How Instructors Direct a Learner's Attention Impacts Neural Changes During Reading Acquisition
Bruce D. McCandliss, PhD, Vanderbilt University, Nashville
Attention to phonology in early literacy acquisition presents a key exemplar of research that can bridge the gap between cognitive neuroscience and pedagogical research. The impact of attention on brain activity within specific cortical regions has been a central topic of investigation across multiple domains of cognitive neuroscience. Within educational research on reading acquisition, meta-analyses show that approaches which explicitly focus attention on sub-syllabic speech sounds lead to significant gains in early literacy. This talk will review neuroimaging findings on the impact of directing a learner's attention to sub-syllabic speech sounds (i.e. phonological codes) in the service of early reading acquisition. First, fMRI and ERP studies of skilled adult readers demonstrate the influence of top-down selective attention to phonology on the perception of auditory words. Directing a listener's attention to phonological codes within words (as opposed to other aspects of the auditory stimuli) activates a network of left-lateralized regions in a top-down fashion, including visual regions associated with perceptual expertise for visual words. Next, studies of neural changes in adults learning to read a novel writing system (i.e. artificial orthography) allows us to examine the influence of an instructor directing a learner's attention to sub-syllabic phonological codes vs. other forms of information. The focus of a learner's attention during learning plays a crucial role in the development of early (i.e. within 170 msec) left lateralized cortical responses to newly learned visual words. Finally, educational intervention studies with school-aged children demonstrate the potential translational value of such research.
Neuroimaging Studies of Reading and Language Development: An Update on Recent Findings
Kenneth R. Pugh, PhD, Haskins Laboratories, New Haven
Reading disability (RD) has been characterized as a brain-based difficulty in acquiring fluent reading skill associated with problems in operating on the phonological structures of language. The claim of brain-basis is supported by a growing literature rife with reports of various sorts of anomalies in brain structure and function in RD. We will present data showing that relative to typically developing (TD) readers, RD children and adolescents fail to coherently engage left hemisphere (LH) occipitotemporal (OT) and temporoparietal (TP) regions during language and reading tasks. Additionally, structural neuroimaging studies reveal group differences in both grey matter density and white matter connectivity in key LH regions. Brain/behavior analyses have indicated that the development of reading fluency in children is strongly associated with the development of a well-integrated left hemisphere posterior reading system. With regard to plasticity and learning, intervention studies have examined the influence of intensive phonological remediation in at-risk children and adolescents, revealing substantial gains in both reading scores and development of these posterior LH reading systems for readers afforded this treatment. Recent extensions of learning studies with older RD readers continue to suggest a high degree of plasticity in this age-range. Implications for theory and practice will be discussed. Finally, new and ongoing longitudinal studies examining gene-brain-behavior relations in high risk children are discussed.
Neural Oscillations, Phonology and Dyslexia: A Temporal Sampling Framework
Usha Claire Goswami, PhD, Centre for Neuroscience in Education, University of Cambridge
I will provide a brief overview of an oscillatory "temporal sampling" framework that enables diverse data from developmental dyslexia to be drawn into an integrated theoretical framework. The core deficit in dyslexia is phonological. Impaired temporal sampling of speech by neuroelectric oscillations that encode incoming information at lower frequencies (Theta and Delta) may explain the perceptual and phonological difficulties with syllables, rhymes and rhythmic input found in dyslexia. These difficulties may be indexed by a perceptual insensitivity to rise times in the amplitude envelope, a sensory impairment found in developmental dyslexia across languages. The temporal sampling framework proposes that the phonological difficulties in dyslexia originate in syllable parsing rather than phonetic perception, although syllable-level difficulties will also affect phonetic representations. A conceptual framework based on oscillations that entrain to sensory input has implications for the education of both typically-developing and dyslexic children. For example, linguistic and/or musical activities that "entrain the oscillators" (e.g., language activities that highlight linguistic rhythm and metrical structure, such as nursery rhymes and poems) may be very important for developing the phonological system.
Session 3: Mathematical Reasoning
Evolutionary and Developmental Origins of the Approximate Number System: Foundations of Mathematical Thinking
Elizabeth M Brannon, PhD, Psychology and Neuroscience & Center for Cognitive Neuroscience, Duke University, Durham
Adult humans quantify, label, and categorize almost every aspect of the world with numbers. The ability to use numbers is one of the most complex cognitive abilities that humans possess and is often held up as a defining feature of the human mind. In my talk I will present a body of data that demonstrates that there are strong developmental and evolutionary precursors to adult mathematical cognition that can be seen by studying human infants and nonhuman primates. Developmental data and controversies will be discussed in light of comparative research with monkeys and other animals allowing us to see both parallels and discontinuities in the evolutionary and developmental building blocks of adult human cognition. Implications for education will be highlighted by describing a) the beginnings of a longitudinal study exploring the relationship between infant's nonverbal numerical sense and later developing mathematical cognition in childhood and b) a set of studies exploring the malleability of approximate number representations in adulthood.
Predicting Math Achievement
Lisa Feigenson, PhD, Johns Hopkins University, Baltimore
How do humans become able to reason about abstract mathematical entities? Why is thinking about number sometimes so intuitive, and other times so challenging? Research using animals, adults, and infants has provided evidence for an innate system of numerical representation that supports perceiving the world in terms of quantities. From birth onward, these quantity representations can be added, subtracted, and compared. I will discuss evidence for the widespread nature of this kind of numerical thinking, focusing on our work showing that the precision of adults' and children's numerical estimations varies widely from person to person. I will discuss recent evidence that this precision of individual non-symbolic numerical representations predicts people's later achievement in symbolic mathematics, and then will close by considering possible implications of this work for education and remediation of mathematical difficulties.
Education Dependent Brain Plasticity: Linking Quantities and Symbols during the Early Elementary School Years
Edward M. Hubbard, PhD, Department of Psychology and Human Development, Vanderbilt University
Mounting evidence supports the notion that children's mastery of arithmetic is founded upon more elementary forms of number cognition, and in particular to the development of number fluency. One key aspect of this emerging fluency is the ability to automatically translate between number symbols and the quantities that they represent (e.g., 5 = :•:). Although brain circuits that are sensitive to quantity have been identified in very young children, the acquisition of symbolic numbers may refine these circuits as they learn to recognize and automatically link Arabic digits to quantities. To examine the neural development of these links, we measured fMRI responses in 63 children in grades K–3. Arrays of dots of a standard quantity (6 or 8) were presented repeatedly, alternating with rare deviants that were either numerically close to or far from the standard (5 or 9) in either the same format (dots) or a different format (digits). In kindergarteners, viewing Arabic numbers recruited brain regions involved in reading numerals, but not parietal and frontal regions. In first and second graders, parietal regions associated with magnitude processing responded to 5, but not 9. Finally, in third graders, both left and right parietal regions respond to 5 and 9, similar to the pattern observed in adults. Recruitment of parietal regions was correlated with age and standardized math scores, suggesting that the degree to which children have mastered the ability to automatically translate between digits and quantities may be critical for explaining individual differences in learning formal arithmetic.
Coauthor: Bruce D. McCandliss, Department of Psychology and Human Development, Vanderbilt University
Does Number Sense Matter? Evidence from Brain and Behavior
Daniel Ansari, PhD, Numerical Cognition Laboratory, Department of Psychology & Graduate Program in Neuroscience, University of Western Ontario
Mounting evidence has demonstrated the existence of a system for the representation of numerical magnitude that is shared between species, can be detected very early in development and is associated neuronal activation of the parietal cortex. In view of this evidence, greater attention has been paid to roles played by basic number processing (also frequently referred to as 'number sense') in the typical and atypical development of mathematical skills. In this talk, I will discuss evidence from a series of behavioral and brain imaging studies that have examined the developmental trajectories of basic number processing and their relationship to the ontogeny of mathematical skills. Specifically, I will discuss developmental changes in the behavioral and neuronal markers of basic number processing, such as the numerical distance and ratio effects. Furthermore, I will demonstrate that individual differences in numerical magnitude comparison abilities are related to variability in children's mathematical skills in both cross-sectional and longitudinal studies. Moreover, I will present data from a recent investigation of brain-behavior relationships, which illustrates that variability in the neural correlates of numerical magnitude comparison processing are related to individual differences in children's mathematical fluency. Finally, I will discuss data that suggests that not all measures of 'number sense' relate to mathematical achievement equally and that it is important to move beyond a unified construct of basic number processing and towards a differentiated, multi-level model of the typical and atypical development of numerical magnitude processing and its relationship to the learning of arithmetic.
Conceptual Development in Mathematics
Daniel L. Schwartz, PhD, Stanford University
Beyond the natural numbers, mathematics becomes increasingly abstract and removed from everyday experience. For example, integers, which introduce negative numbers and zero, are more abstract than natural numbers. One does not perceive negative objects, and zero may be the prototypical example of an abstraction—structure without perceptual substance. Integers also introduce new structure not found in the natural numbers including the additive inverse property (X + −X = 0). How does the brain accommodate these new concepts? A combination of behavioral and fMRI studies tested the hypothesis that children's integer reasoning is characterized by rule use, but with experience, adults recruit perceptual sub-systems to handle the integers. Specifically, people bundle perceptual symmetry into their understanding of integers. For instance, in one fMRI study, adults saw pairs of integer digits. A subsequent display showed a new digit, and people decided if it was the numerical mid-point of the other two. As the digit pairs came closer to satisfying the additive inverse property (e.g., −4 and 6 is closer than −3 and 7), people exhibited a parametric decrease in response time and a parametric increase in the activation of brain regions that have been associated with the visual detection of symmetry in existing literature. These results provide direct guidance for the redesign of integer curriculum. Current approaches to teaching integers do not emphasize the notion of zero as a reflection point. Hands-on and computer-based activities have subsequently been developed to highlight the symmetry of the positive and negative numbers about zero.
Coauthors: Jessica Tsang, Stanford University and Sashank Varma, University of Minnesota
The Myth of Ability: Nurturing Mathematical Talent in Every Child
John Mighton, PhD, JUMP Math; Fellow, the Fields Institute, Toronto
JUMP Math is a charity (recently featured in the NY Times in "A Better Way to Teach Math") that trains teachers and produces resources that cover the full curriculum from grades one to eight. JUMP has gathered a significant body of evidence, ranging from multi-year pilots in inner-city London to a large-scale randomized controlled study in Canada, that suggests that children have far more potential to succeed at and enjoy learning mathematics than we typically expect, and that differences in achievement can be reduced by applying principles from cognitive science in the classroom.
Abstracts
Day 3: Saturday, September 24, 2011
Keynote Address
The Torturous Path from Cognitive Science to Educational Improvement
Carl E. Wieman, PhD, Associate Director for Science, Office of Science and Technology Policy, Executive Office of the President
There are many exciting developments in the fields of neuroscience and the science of learning. These developments, as well as many others sure to come in the future, have the potential to dramatically improve education. I will discuss the opportunities and challenges to realizing this potential. The state of the research, organizational structures and norms in education, basic beliefs about learning and teaching, and national educational policies all must be considered as we seek to navigate a route that will realize this great potential.
Session 4: Executive Functioning and Attention
Development in Young Children
Adele Diamond, PhD, University of British Columbia
Diverse activities have been shown to improve children's executive functions (EFs), including computerized training with or without other types of games, aerobics, martial arts, yoga, mindfulness, playing a musical instrument, and school curricula. Regardless of the intervention, a couple of principles seem to hold: (1) EFs need to be continually challenged; if EF demands do not keep increasing as children improve, few gains are seen. (2) Whether EF gains are seen depends on the way an activity is done and the amount of time spent doing it, practicing and pushing oneself to do better. It's the discipline, the practice, that produces the benefits. Even the best activity for improving EFs if done rarely produces little benefit.
School curricula empirically shown to improve EFs share several features in common. (a) The classroom is not centered around the teacher and the teacher is rarely expected to teach all children the same thing at the same time. Instead: (a.1) Children progress at their own individual rates. (a.2) Children work largely on their own and with one or a few other children. (a.3) Children help mentor other children and work cooperatively. (a.4) Because other children are productively engaged when the teacher works with any individual child, individualized instruction can readily be provided and the teacher can spend time observing and assessing each child's progress, seeing where assistance or new challenges might be needed for a particular child. (a.5) Children are not required to sit still for long nor to learn primarily by listening rather than doing.
(b) Stress is minimized for both teacher and students. Internal self-discipline is encouraged rather than the teacher acting as primary enforcer of rules. (c) Students are rarely embarrassed or shamed. (d) Scaffolds (supports) are provided so children are far more likely to succeed than fail. (e) EFs are practiced and challenged all day, not just in "EF activities." (f) Oral language is particularly targeted for development in young children. (g) Even young children plan what they are going to do. (h) Extrinsic rewards (e.g., stickers) are absent; exploration, discovery, and mastery are seen as their own rewards. (i) Character development (e.g., kindness & helpfulness) is a priority. (j) Social inclusiveness and mutual support are cultivated among the students. The most effective way to improve EFs and academic achievement is probably not to focus narrowly on those alone, but to also address children's social, emotional, and physical development.
Learning to Learn: Lessons from Action Video Games
Daphne Bavelier, PhD, University of Rochester and University of Geneva
Technology, from chatting on the internet to playing video games, has invaded all aspects of our lives and, for better or for worse, is changing who we are. Can we harness technology to effect more changes for the better? Yes we can, and not always in the way one might have expected. In a surprising twist, a mind-numbing activity such as playing action video games appears to lead to a variety of behavioral enhancements in young adults. Action video game players outperform their non-action-game playing peers on various sensory, attentional and cognitive tasks. They search for a target in a cluttered environment more efficiently, are able to track more objects at once, process rapidly fleeting images more accurately and switch between tasks more flexibly. In addition, action gamers manifest a large decrease in reaction time as compared to their non-action-game playing peers across many different tasks, without paying a price in accuracy. A training regimen whose benefits are so broad is unprecedented and provides a unique opportunity to identify factors that underlie generalization of learning and principles of brain plasticity. We propose that a common mechanism is at the source of this wide range of skill improvement. In particular, improvement in performance following action video game play may result from greater attentional control with gamers focusing on signal and ignoring distraction more efficiently. This in turn allows for enhanced integration of information during decision making with action gamers making more informed decision about their environment. We show how these processes may be any implemented by more faithful Bayesian inferences within neural networks consistent with the view that action gamers learn to learn.
Training of Working Memory and Its Potential Role in Education
Torkel Klingberg, MD, PhD, Karolinska Institute, Stockholm, Sweden
Impaired working memory is associated with low academic performance and is also predicts unfavorable development of math and reading performance. More generally, working memory is associated with distractibility and inattention. WM is thus a key cognitive function for school performance.
Klingberg and collaborators have developed and tested a computerized method for training working memory. Several studies have shown that working memory can be improved by this method, and that performance improves also on non-trained tasks demanding working memory. This includes performance on tests of mathematical reasoning.
Moreover, improving working memory also decreases the symptoms of inattention in everyday life. Klingberg and colleagues has also shown that training of working memory increases brain activity in frontal and parietal regions, and is associated with changes in the density of dopamine D1-receptors in the cortex.
Training of working memory might thus be a non-pharmacological way to address the key cognitive function in children with low working memory, and might have an important role in education.
Intensive Reasoning Training Alters Patterns of Brain Connectivity at Rest
Silvia A. Bunge, PhD, Helen Wills Neuroscience Institute, University of California at Berkeley
Correlations in BOLD activity at rest have been shown to reflect a number of functionally relevant networks, including a fronto-parietal network. While networks detected at rest have often been interpreted to be stable traits, changes in these networks may reflect activity-dependent neuroplasticity. Neuroimaging studies have consistently demonstrated the involvement of a fronto-parietal network in reasoning ability. Rostrolateral prefrontal cortex (RLPFC), specifically, has been implicated in relational reasoning, or the ability to jointly consider multiple mental representations. We hypothesized that intensive relational reasoning training would lead to repeated co-activation of RLPFC and other frontoparietal regions, altering the connectivity of this network. We studied individuals while they prepared for a standardized test that taxes reasoning ability, the Law School Admissions Test (LSAT). LSAT questions involve relational integration since they require test takers to group or sequence items according to a set of complex rules. We recruited students who were taking an LSAT course that offers 70 hours of reasoning instruction (n=25), as well as age- and IQ-matched pre-law controls (n=24). Resting-state data was collected for all subjects during two scanning sessions 90 days apart. In the LSAT group only, we found a training-related increase in connectivity between left RLPFC and posterior parietal cortex, and a decrease in connectivity between left RLPFC and lateral frontal regions. These findings provide the first evidence that relational reasoning training can alter the strength and pattern of resting-state connectivity in the predominantly left-hemisphere network that supports this high-level cognitive capacity.
Coauthors: Allyson P. Mackey and Alison T. Miller-Singley, Helen Wills Neuroscience Institute, University of California at Berkeley
Improving Attention and Working Memory with Mindfulness Training
Amishi P. Jha, PhD , University of Miami, Coral Gables
Mindfulness is a mental mode characterized by full attention to present-moment experience without judgment, elaboration, or emotional reactivity. Mindfulness training (MT) programs offer exercises and instruction to help individuals cultivate this mental mode. Concentrative MT exercises emphasize focusing on a target object, such as a body sensation, visual image, phrase, or concept, while actively disengaging from distraction from either external stimuli (e.g., sights, sounds) and internal preoccupations (e.g., intrusive thoughts, negative emotions). In this presentation, I describe a program of research aimed at investigating if MT and other concentrative-based training programs might improve attention and working memory in children and adults in tasks that involve selective attention, working memory, external distraction, as well as tasks that promote internal distractibility and mind-wandering. Across multiple studies we have found that MT improves attention and working memory and counteracts susceptibly to distraction from either externally presented or internally generated sources. These MT-related improvements are above and beyond those observed in comparison interventions that are well matched in course structure, homework, and trainer-expertise. Based on these findings, we suggest that MT might be a useful tool for improving attention and working memory in children and adults.
Session 5: Poverty, Brain Development, and Education
Experiential, Genetic and Epigenetic Effects on Neurocognitive Development
Eric Pakulak, PhD, University of Oregon
The impact of lower socioeconomic status (SES) on the cognitive skills and brain function of children and adults has been well documented. Additionally, the considerable personal costs to individuals and the economic costs to society of such achievement gaps have been well documented. Recent meta-analyses of costly studies initiated in the 1960s have shown that programs that target low-SES preschoolers and their parents can ameliorate such problems. Different systems of the brain display different degrees and timeperiods of neuroplasticity. Relevant here are studies showing that selective attention is a highly malleable system that is both enhanced in remaining modalities following sensory deprivation, shows deficits in developmental disorders and in typically developing low SES children and that selective attention can be increased in both typically and non-typically developing children following computerized training. Here we targeted highly plastic attention systems in a randomized, pre/post training study with 141 Head Start (HS) preschoolers (at risk for school failure because of their low SES) and their parents. It included a parenting program and attention training for children that we show boosts mechanisms of attention. After eight weeks of such training, parenting practices improved, stress decreased, and children's behavior, social skills, cognition and neural mechanisms of attention improved significantly when compared to children and parents randomly assigned to one of two comparison groups. These results carry implications for ongoing discussions concerning evidence-based early education programs that could impact at-risk children and reduce achievement gaps between children from higher and lower SES families.
Coauthor: Helen J. Neville, PhD, University of Oregon
Developmental Snapshots of Achievement: Language Minority Learners from Low-Income Homes
Jeannette Mancilla-Martinez, EdM, EdD, University of Illinois, Chicago
English-only learners spend several years acquiring oral language skills before formal literacy instruction begins, but Language Minority (LM) learners are charged with the challenging task of acquiring language and literacy skills simultaneously in English. Students from Spanish speaking homes represent about 80% of the LM school-aged population in the U.S. (Fry & Gonzales, 2008; NCES, 2007), disproportionally live in poverty (Fry & Gonzales, 2008; Hernandez, Denton, & Macartney, 2008), and show a striking gap in reading comprehension achievement when compared to native English speakers (for a review, see August & Shanahan, 2006). Here, I present the results of two separate longitudinal studies focused on documenting the language and literacy development of Spanish-speaking children from low income, predominantly immigrant, homes. The first study, focused on toddlers followed from age 24–36 months, revealed that shifts toward English use predominated. However, specific patterns of vocabulary growth, even among similarly classified language profiles varied widely. The second study, spanning pre-kindergarten through fifth grade, showed that students' oral language skills started out below national norms and their rates of growth, although surpassing the national rates, were not sufficient to reach age-appropriate levels. These findings underscore the need for increased and sustained attention to promoting this population's language development in the service of improving their reading comprehension outcomes and ultimately their high school graduation rates.
Poverty: A Critical Barrier to Outstanding Academic Performance
Frank C. Worrell, PhD, University of California, Berkeley
The achievement gap has been a dominant topic in academic discourse for more than 50 years. Despite concerted research efforts and theorizing, the achievement gap has persisted with individuals from low-income and some ethnic minority backgrounds consistently falling at the lower end of the gap. Although policy makers acknowledge that poverty is correlated with the achievement gap, they have failed to recognize how ubiquitous this variable's influence is and the pivotal role that it plays in maintaining academic underachievement. Other than poverty, there are several variables that are related to outstanding academic achievement. These include ability, task commitment, motivation, and serendipity, among others. In this address, I will discuss several of the key variables associated with outstanding academic performance and highlight how poverty can interact with these variables to keep academic achievement low.
Session 6: Translating Research into the Classroom
Getting and Keeping the Brain's Attention
Judy Willis, MD, MEd, University of California, Santa Barbara
Never in the history of education has there been the challenge teachers face today with curriculum content expanding exponentially. Neuroscience research and cognitive science research regarding the brain's information intake filter (reticular activating system) reveal the minimal voluntary control we have over what sensory information is selected for intake. Classroom strategies correlated with this research use novelty and curiosity to promote the passage of required information through this information intake filter. The brain's curiosity drive, that motivates learning and exploring, can be used to promote information intake when novelty is incorporated into instruction. Prediction opportunities can then be used to sustain attentive intake and influence accurate memory storage. Prediction with corrective feedback activates the dopamine-reward cycle (nucleus accumbens). Once engaged, curiosity and interest can be sustained when children make predictions using prior knowledge. The memory circuits used for making predictions are changed by prediction accuracy feedback. Prediction as a learning tool can thus activate the brain's drive to "wins its bets" through the dopamine-pleasure response to accurate predictions. Timely feedback promotes neuroplastic changes that strengthen the accurate memory networks used to make correct predictions (including social, emotional, and academic choices). Further neuroplastic response to the drop in dopamine pleasure from incorrect predictions, when there is timely corrective feedback, promotes neuroplastic revision of the inaccurate memory circuits. Through novelty, curiosity, and prediction, children are motivated to want to know what they have to learn.
The Science of Learning in Action: The Learning Resource Network and the Ultimate Block Party
Susan H. Magsamen, Johns Hopkins University
The relatively new science of learning has accumulated much knowledge about how children learn. This information has the potential to change the way we educate and parent. Yet much of this information about how learning takes place is not effectively communicated. Parents, teachers, and other child services providers use a grab-bag of sources including books, professional journals, Internet sites, mainstream media reports, and word-of-mouth. The problem has always been validating credible information; that available is not generally peer reviewed, and contains myths about what works best for raising children. The successful development of innovative translational communications and outreach tools is essential to change learning outcomes across the life span. L-rn, a web portal on the science of learning, and the Ultimate Block Party, an event that shares the science of learning in action for families, were developed to address this need. They offer relevant and user-friendly access to research on child development, psychology, cognitive science, neuroscience, public health and education in the context of an interactive web-based community and interactive events. The creation of this knowledge community allows users to learn from each other and from the top experts generating the research while offering access to high-quality resources and best practice applications. The opportunity to share emerging findings in learning research with a wide range of audiences—especially audiences that have previously had little contact—is a radical new development and a model for translational research. The creation of L-rn and Ultimate Block Party represents a major advance in disseminating the science of learning.
What's Really Hard About Reading: Preparing Students For Deep Comprehension
Catherine E. Snow, PhD, Harvard Graduate School of Education
While mastering the constrained challenges of letter recognition, phoneme segmentation, phoneme-grapheme mapping, and automaticity in reading is crucial to literacy, skills in the less constrained domains (vocabulary, world knowledge, reasoning, perspective-taking) explain a much larger proportion of the variance in the outcomes of greatest interest to educators: reading with comprehension, learning from text, analyzing text, synthesizing information from multiple texts, and critiquing arguments. A major educational challenge is to distribute classroom time and attention—in preschool through secondary school—to the issues that are most relevant to ultimate student achievement, rather than focusing them on domains that are easy to test and, for most children, easy to teach.
Conference Location:
Aspen Meadows Resort - Home of The Aspen Institute 845 Meadows Road Aspen, CO 81611
Directions to the Aspen Meadows Resort/Aspen Institute.
Other Suggested Hotel Accommodations in Aspen
Hotel Aspen 110 W. Main Street Aspen, CO 81611 Phone: 800.527.7369
Molly Gibson Lodge 101 W. Main Street Aspen, CO 81611 Phone: 888.649.5982
The Annabelle Inn 232 W. Main Street Aspen, CO 81611 Phone: 970.925.3822
The Limelight Lodge 355 S. Monarch Street Aspen, CO 81611 Phone: 800.433.0832
St. Moritz Lodge 334 W. Hyman Ave Aspen, CO 81611 Phone: 800.817.2069
Special Needs and Additional Information
For any additional information and for special needs, including child/family care resources available to conference attendees, please email Crystal Ocampo.
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