18.210, Review: Cognitive Science: Blakemore; Frith (2005)
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LINGUIST List: Vol-18-210. Sat Jan 20 2007. ISSN: 1068 - 4875.
Subject: 18.210, Review: Cognitive Science: Blakemore; Frith (2005)
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From: Alona Soschen < soschen at mit.edu,career2002 at yahoo.com >
Subject: The Learning Brain. Lessons for Education
-------------------------Message 1 ----------------------------------
Date: Sat, 20 Jan 2007 23:49:10
From: Alona Soschen < soschen at mit.edu,career2002 at yahoo.com >
Subject: The Learning Brain. Lessons for Education
Announced at http://linguistlist.org/issues/16/16-1934.html
AUTHOR: Blakemore, Sarah-Jayne and Uta Frith
TITLE: The Learning Brain. Lessons for Education
PUBLISHER: Blackwell Publishing
Dr. Alona Soschen, Department of Linguistics and Philosophy and the Department
of Brain and Cognitive Sciences, MIT.
"The Learning Brain" is written by two leading authorities in the field.
Sarah-Jayne Blakemore is engaged in neuroscience research, for which she
obtained the 2001 British Psychological Society Award. Uta Frith is the author
of well-known books on autism and Asperger syndrome.
The present work provides a detailed account of how our brain learns during the
whole of development including adulthood, and discusses the implications of this
knowledge for educational policy and practice. It aims to demonstrate, with
examples, how brain research on learning at different ages could influence and
improve our understanding of teaching. Cognitive psychology is viewed as
tailor-made for the role of a mediator between brain science and education.
In the introduction, the authors discuss the importance of interactions between
brain scientists and educators, nature and nurture factors, misconceptions about
neuroscience, genetics, disorders of the developing brain, and the brain's
aging. In addition, basic information on neuronal organization is provided,
accompanied by illustrations. Modern techniques used to study the brain are
addressed in a concise form; a more detailed overview of these techniques can be
found in the Appendix at the back of the book.
2. The Developing Brain
What changes in the brain during development? Is it too late for change after
the age of three? The authors contend that synaptogenesis is considerably
longer. The process of adding myelin to axons - which acts as an insulator
speeding up movement of impulses down the neuron - continues well into teens and
twenties. Synaptogenesis may be linked to the initial emergence of some skills
and capacities, but their refinement continues after synaptic densities are cut
back through pruning (1).
The chapter addresses the important question of whether knowledge about the
world arises from formal education, or develops better without any explicit
teaching, through exploration and communication. Would children develop better
mathematical, language, and musical abilities through intensive instruction such
as 'hot-housing'? Aren't these important abilities based mostly on everyday
experiences such as social interaction and sharing? The discussion focuses on
several closely related issues, such as sensitive periods in learning and the
importance of enriched environments.
3. Words and Numbers in Early Childhood
This part concentrates on the development of language and arithmetic skills in
children. The authors provide examples of experimental work showing that
abstract rules for learning a natural language are innate, while
language-specific parameters are not. In the process of learning, some features
such as certain phonological differences either become more prominent or lose
their significance, depending on the language being acquired (2)(3). The authors
address a foreign accent problem, babbling in babies, fast-mapping and dyspraxia
(difficulties in motor coordination), and raise the question whether infants can
be taught to write before the age of five, given the under-developed fine finger
coordination at that age. Another important issue under consideration in Chapter
3 is whether very young children have a concept of number.
4. The Mathematical Brain
The parietal lobe involved in spatial orientation is also associated with
mathematical abilities. Calculation abilities depend on the hemisphere
responsible for different components of mathematics. The focus of this part is
on the studies of patients with brain damage and dyscalculia (4). As a
continuation of the discussion of mathematical abilities, the authors introduce
two controversial topics: the left brain/right brain theory, and gender
differences in the brain.
5. The Literate Brain
Brain research has shown that literacy has an effect on spoken language
processing. Chapter 5 concentrates on the experiments that demonstrate
differences between literate and illiterate brains and expose the brain's
reading system. Interestingly, the differences in the weighting of certain
regions of the reading system in different languages show that more work is done
either by the region responsible for whole word recognition (English) or by the
region responsible for letter-sound translation (Italian).
6. Learning to Read and its Difficulties
The studies showed that even in the youngest readers, reading induced neural
activity in left hemisphere areas and a switch of activity from right to left:
activity declined in right hemisphere areas during the same time period. The
development of reading skills, reading impairments such as dyslexia, teaching
dyslexic people to read, and the effects of remedial teaching are the main focus
of the experimental work under discussion. The studies suggest that dyslexics
can boost integration of the sight and sound of words by recruiting their right
parietal lobe, in contrast with unimpaired readers who are automatically given
this integration through the specialized areas of the reading system in the left
7. Disorders of Social-Emotional Development
The authors look at developmental disorders that affect social and emotional
experience, in particular the attention deficit hyperactivity disorder ADHD,
conduct, empathy and moral sensitivity disorders, Asperger syndrome, and autism.
A question that needs to be answered is whether it is the existence of different
modules in the brain that accounts for the unusual talents in autism, showing
that in this case, only some but not all brain systems are disrupted. Is it
possible that instead of some kind of pre-programming inherent in the brain,
experience itself will lead to the gradual development of modules in adults (5)?
Theories of developmental disorders may have effects on remedial teaching and
help find the ways to overcome problems such as mind blindness ? the ability to
relate to other minds - in autism.
8. The Adolescent Brain
The brain undergoes a second wave of development during adolescence. How does
puberty affect it? As neurons develop, the transmission speed gets faster, and
vigorous synaptic pruning occurs after puberty in the frontal lobes. The
researchers concluded that a decrease in synaptic density and a simultaneous
increase in axonal myelination are evidenced by the loss of gray matter and
constant increase in white matter. In behavior, social awareness seems to show a
massive change: fear might become rewarding, and peer pressure can start to
determine actions. Decision making and the ability to carry out multiple tasks
at once are abilities that might improve during adolescence; however, the
studies show that there is a dip of performance on tasks that require decision
making. The frontal cortex develops in a nonlinear fashion; the teen frontal
lobes undergo a phase of waxing and waning.
9. Life Long Learning
Recent research has revealed that the adult brain is able to change in size and
activity, thus allowing it to continue learning. Plasticity occurs as a
compensatory mechanism in people who have lost some function. The visual cortex
takes over the job of processing tactile information in blind people who read
Braille, which attests to the adaptive capacity of the brain. Adult brains can
grow new cells: the important implication is that exercise boosts both learning
and brain development, releasing the hidden powers of the human mind.
10. Learning and Remembering
Neuroscience is beginning to understand the brain mechanisms underlying
learning. The aim of this part is to reveal the nature of learning itself, which
can be achieved by studying the neural structures involved in learning and
memory processes. This research will answer the questions of how learning can be
enhanced, and how we can learn without even being aware of it. In this chapter,
the authors discuss learning and remembering skills, different types of memory
and its disorders. We know hardly anything about what goes on in the brain when
we teach; the authors view theory of mind as a prerequisite for purposeful teaching.
11. Different Ways of Learning
The older one gets, the harder rote learning ? i.e. by repeating words over and
over ? seems to become. Brain science provides further evidence for other
effective methods of learning, such as visual and emotional imagery. It was
discovered that certain neurons in the premotor cortex of a monkey's brain
'fire' when the monkey observes someone grasping an object. Interestingly, it is
a goal directed action performed by a hand that grasps the object that interests
those cells, not the object itself. Imitation is important for learning:
inhibition occurs gradually, allowing children to imitate more, thus learning
more. Experimental psychology has long established that mental exercise is
important for learning various skills: it can be exploited in training of
physical skills such as sport and dancing. Cognitive therapy that retrains
people in the way they think about a particular issue is often successful in
treating problems such as phobias, obsessive-compulsive behavior, and anorexia.
12. Harnessing the Learning Powers of the Brain
In the final chapter, the authors speculate about how various lines of research
are shedding light on biological and sociological aspects of learning. This part
provides a discussion of sleep, hypnosis, emotion, reward, risk taking, and
nutrients that change the brain processes. For example, the brain, although fast
asleep, is still taking in salient information. Sleep deprivation has
detrimental effects on memory, while sufficient sleep facilitates insight.
Hypnosis may increase productivity in some individuals, while emotionally
charged events are always remembered better than neutral events. Certain
substances and foods are especially beneficial for mental ability. Last but not
least, the effect of social and other rewards cannot be underestimated (6).
In their conclusion, the authors stress the importance of interdisciplinary
approaches to the study of learning mechanisms, a new science of learning that
draws from neurophysiology, psychology, and education (7).
The book also provides an Appendix, Glossary, References, Further Reading
Suggestions, and an Index.
I enjoyed reading this highly informative book, written in a way that makes it
accessible not only to specialists but to anyone interested in the study of
learning. The range of experimental work is particularly impressive. Many of the
experiments described are most interesting as they are the ones that have not
yet been widely reported. The chapters are well-organized and accompanied by
illustrations, many of which will make you smile. Humor is definitely a powerful
tool in bringing a point across. I recommend this book to educators and others
who wish to know more about memory, learning, and cognition.
In this review, I have provided a brief summary of chapters, followed by
endnotes and references. In the endnotes, I offer some observations and
suggestions as to how the investigation of learning mechanisms could be further
developed and incorporated within the interdisciplinary field that studies the
human mind from a broader perspective.
1) Gallistel's The Organization of Learning challenges commonly held beliefs
about memory as consisting of changes in the synaptic connections between
neurons, and contends that the only plausible elementary mechanisms common to
learning in general are the ones involved in the storing of the computed values
of variables and carrying out computation. This process is worthy of intensive
study at the neurobiological level and it ought to be of interest to scientists
who seek to discover the mechanisms that make learning and higher cognitive
function possible. Furthermore, Gallistel suggests that the concept of a gradual
learning curve is inaccurate. Learning is more than the strengthening of
associative bonds between synapses - the reason why the rate of learning can
vary greatly from one subject to the next.
2) In the development of visual perception, children born with cataracts after
eye surgery could distinguish between different faces but failed to distinguish
the ones that differed only in the arrangement of their features (discussed on
pp. 28-29). It shows that a human cognitive system treats the significance of
space as a parameter that has to be set during a certain period of time. The
example of children born with visual defects can be regarded as parallel to
certain cases of individuals with language impairments. Those patients have
their vocabulary intact but their syntax - the dynamic part of language
responsible for the organization of lexical items ? is deficient.
3) See Kenneth Wexler's important work on the development of language in
children, syntax in particular.
4) The observation that patients with an impaired system of calculation
(summation, subtraction) still preserve the ability to estimate quantities
confirms the idea that basic mental representations are continuous rather than
discrete. Gallistel et al. (to appear) arrive at a conclusion that 'the
non-verbal system for arithmetic reasoning with mental magnitudes precedes the
verbal system both phylogenetically and ontogenetically...The special role of
the natural numbers in the cultural history of arithmetic is a consequence of
the discrete character of human language, which picks out of the system of real
numbers in the brain the discretely ordered subset generated by the nonverbal
counting process, and makes these the foundation of the linguistically mediated
conception of number.'
5) Cognitive dissociations in autism may be caused by either limited growth or
excessive pruning of long-range connections early in development (Brock et al.
2002). It is possible that excessive brain size in autism is linked to the
development of extra short-range connections as a compensatory mechanism.
6) Certain ways of provoking enthusiasm in learners can be close to
manipulation, as in advertising and politics (p.184). Establishing which context
is healthy and which is not should be one of the priorities in teaching.
Importantly, education exceeds school boundaries by far. While teaching science
to children is beneficial, the media's focus on promoting consumer goods without
any reference to the role of science and research involved in their production
is not. Education in any form should be enriching; this goal is a challenge to
all educators and the consumer-oriented society itself.
7) How can we use our brain power more effectively? (p. 187). Theoretical
studies of the human mind such as biolinguistics, a science that sees language
as a part of a more general system, cannot be underestimated. If Hauser et al.
are right and the only species-specific part of human language is recursion,
then finding out more about syntax - a unique type of recursive system - might
reveal the principled organization in the brain. This research will lead to a
better understanding of how our mind works and eventually show ways to optimize
learning and improve the development of the brain.
Brock, J., Brown, C. C., Boucher, J., & Rippon, G. (2002). The temporal binding
deficit hypothesis of autism. Development and Psychopathology, 14, 209-224.
Gallistel, C.R. 1990. The organization of learning. Cambridge, MA: MIT Press.
Gallistel, C.R., Gelman, R., and S. Cordes (to appear). The cultural and
evolutionary history of the real numbers. S. Levinson and P. Jaisson (eds).
Culture and evolution. Cambridge, MA: MIT Press.
Hauser, Marc D., Chomsky, N., and W. T. Fitch. 2002. The Faculty of Language:
What Is It, Who Has It, and How Did It Evolve? Science 22 November 2002: Vol.
298. No. 5598, 1569 ? 1579.
ABOUT THE REVIEWER
Dr. Alona Soschen is a scholar at the Department of Linguistics and Philosophy
and the Department of Brain and Cognitive Sciences, MIT, a leading center for
research on formal models of human language and the interrelations between
linguistics, psychology, philosophy, and mathematics. Her interests include
syntactic theories, comparative syntax (not limited to Slavic, Germanic,
Romance, Semitic language groups), language acquisition, mathematical modeling
of language, and modern studies of cognition. Her present work focuses on the
Chomskyan Minimalist Program, while developing a biolinguistic approach to the
core syntactic units and combining it with analyses implemented by means of
formal logic. Her recent article "Natural Law: The dynamics of Syntactic
Representations in MP" investigates the principles of argument structure and
syntactic phase formation as a part of a more general model present in all
biological systems of efficient growth, in an attempt to establish the criteria
that single out these particular species-specific components of the Faculty of
Language. The article can be found at http://www.ling.uni-potsdam.de/lip/
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