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Abstract

For several decades, myths about the brain - neuromyths - have persisted in schools and colleges, often being used to justify ineffective approaches to teaching. Many of these myths are biased distortions of scientific fact. Cultural conditions, such as differences in terminology and language, have contributed to a 'gap' between neuroscience and education that has shielded these distortions from scrutiny. In recent years, scientific communications across this gap have increased, although the messages are often distorted by the same conditions and biases as those responsible for neuromyths. In the future, the establishment of a new field of inquiry that is dedicated to bridging neuroscience and education may help to inform and to improve these communications.
Imagine having a brain that is only 10%
active, that shrinks when you drink less
than 6to8 glasses of water a day and that
increases its interhemispheric connectivity
when you rub two invisible buttons on your
chest. For neuroscientists, such a brain is dif-
ficult — if not impossible — to contemplate,
but such notions are commonly held by
teachers across the world1–7. These unscien-
tific ideas are often associated with ineffec-
tive or unevaluated approaches to teaching
in the classroom, thereby affecting childrens
learning in subject areas beyond science.
Misunderstanding about brain function and
development also relates to teachers’ opin-
ions on issues such as learning disorders and
so, in turn, may influence the outcomes of
students with these disorders.
Some have suggested that the long-
standing prevalence of neuromyths in the
classroom indicates the need for caution
when including neuroscience in educational
thinking8,9. Others have suggested that these
misunderstandings show that the distance
between these two fields is too great for them
to inform each other10 or even that there is an
‘in principle’ incompatibility betweenthem11.
However, the study of neuromyths and
how they develop may provide a valuable
source of insight into the challenges of
interdisciplinary communication between
neuroscience and education, and into
how these challenges might be addressed.
Understanding the cultural distance to be
travelled between neuroscience and education
— and the biases that distort communications
along the way — may support a dispassionate
assessment of the progress in developing a
bridge across these diverse disciplines and of
what is needed to complete it. The purpose of
this Perspective article is to review what we
know about neuromyths and the forces that
have helped them to grow; to understand the
role of these forces in contemporary commu-
nications on topics at the interface of neuro-
science and education; and to consider how
communications between neuroscience and
education might be improved in thefuture.
Neuromyths in education
The first use of the term neuromyth has
been attributed to the neurosurgeon
AlanCrockard9, who coined it in the 1980s
when he referred to unscientific ideas about
the brain in medical culture12. In 2002, the
Brain and Learning project of the UK’s
Organization of Economic Co-operation and
Development (OECD)13 drew attention to the
many misconceptions about the mind and
brain that arise outside of the medical and sci-
entific communities. They redefined the term
neuromyth as a “misconception generated by
a misunderstanding, a misreading or a mis-
quoting of facts scientifically established (by
brain research) to make a case for use of brain
research in education and other contexts”
(REF.13).
Surveys of teachers in countries with very
different cultures have revealed similarly high
levels of belief in several neuromyths (TABLE1).
This prevalence may reflect the fact that neuro-
science is rarely included in the training of
teachers, who are therefore ill-prepared to be
critical of ideas and educational programmes
that claim a neuroscientific basis.
Seeds of confusion how myths begin.
Although some writers have used words such
as fraud and scam to describe their distrust of
unscrutinised brain-based interventions14,15,
examples of cases in which entrepreneurs
have knowingly set out to mislead educators
are difficult to find. It is more likely that such
interventions originate from uninformed
interpretations of genuine scientific facts and
are promoted by victims of their own wish-
ful thinking who hold a “sincere but deluded
fixation on some eccentric theory that the
holder is absolutely sure will revolutionize
science and society” (REF.16).
There is often some remaining trace of
scientific origins in even the most bizarre
of neuromyths — a seed from which the
myth sprung forth and which may still be
contributing to its potency. For example,
although a daily intake of 6to8 glasses of
water is a contentious recommendation with
its own mythical origin17 — and there is
no evidence for underperformance among
school children who fail to meet it — stud-
ies18,19 have shown that dehydration can
influence cognitive function. This finding
may help to explain why more than a quar-
ter of UK teachers who were sampled in a
study believed that failing to meet this quota
would cause their brain to shrink (TABLE1).
Perhaps the most popular and influential
myth is that a student learns mosteffectively
when they are taught in their preferred learn-
ing style. This idea has acquired various jus-
tifications that claim to have a neuroscientific
basis. The implicit assumption seems to be
that, because different regions of the cortex
have crucial roles in visual, auditory and
sensory processing, learners should receive
SCIENCE AND SOCIETY
Neuroscience and education:
myths and messages
Paul A.Howard-Jones
Abstract | For several decades, myths about the brain — neuromyths — have
persisted in schools and colleges, often being used to justify ineffective approaches
to teaching. Many of these myths are biased distortions of scientific fact. Cultural
conditions, such as differences in terminology and language, have contributed to
a ‘gap’ between neuroscience and education that has shielded these distortions
from scrutiny. In recent years, scientific communications across this gap have
increased, although the messages are often distorted by the same conditions and
biases as those responsible for neuromyths. In the future, the establishment of a
new field of inquiry that is dedicated to bridging neuroscience and education may
help to inform and to improve these communications.
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© 2014 Macmillan Publishers Limited. All rights reserved
information in visual, auditory or kinaesthetic
forms according to which part of their brain
works better20. The brains interconnectivity
makes such an assumption unsound, and
reviews of educational literature and con-
trolled laboratory studies fail to support this
approach to teaching21–23. However, it is true
that there may be preferences and, perhaps
more importantly, that presenting informa-
tion in multiple sensory modes can support
learning24.
Cultural conditions a space for myths to
thrive. Cultural conditions, such as differ-
ences in the terminology and language used
by neuroscientists and educators, can be
implicated in the processes that transform
scientific knowledge into self-propagating
and misleading ideas25. The international
popularity of many neuromyths suggests a
global dimension to these factors.
One condition that is likely to favour
the propagation of a myth is when counter-
evidence — as well as the neuroscientific
findings on which the myth was (wrongly)
based — is difficult to access, which effec-
tively protects the myth from scrutiny. When
such counter-evidence and findings are
complex and/or can only be found in neuro-
science journals, it is easy for non-specialists
to miss, misinterpret or ignore them and the
myth can therefore spread unchecked; for
example, according to ‘left-brain right-brain
theory26, learners’ dispositions arise from
the extent to which their left or right brain is
dominant. Although the details of such cat-
egorization varies with different educational
programmes, ‘intuitive learners’ are often
considered as more ‘right-brained’ and ‘step-
wise sequential learners’ as more ‘left-brained’
(REFS27–30). Some educational texts encour-
age teachers to determine whether a child
is left-brained or right-brained before they
attempt to teachthem30. The scientific fact
that seeded this myth is not difficult to find:
some types of cognitive process are lateralized
with regard to the additional neural activity
associated with them. Neuroimaging studies,
when appropriately interpreted, have shown
the distributed nature of neural activity dur-
ing everyday tasks. However, an uninformed
interpretation of images showing ‘hot spots,
as reproduced in popular and accessible
articles, can promote the idea that there are
isolated functional units. To non-specialists,
apparently well-defined and static islands
on one side of a brain are more suggestive of
a new phrenology than of a statistical map
indicating where activity has exceeded an
arbitrary threshold. Considering functionality
in terms of independent left and right hemi-
spheres is the simplest form of such phrenol-
ogy and categorizing learners as left-brained
or right-brained just takes this misguided idea
one stage further.
The threat of scrutiny is lowest for ideas
that are untestable. Multiple Intelligences
theory has proved popular with teachers as
a welcome argument against intelligence
quotient (IQ)-based education. It encourages
them to characterize learners in terms of a
small number of relatively independent ‘intel-
ligences’ — for example, linguistic, musical
and interpersonal31. Multiple Intelligences
theory claims to be drawn from a range of
disciplines, including neuroscience, which
— it has been claimed — is “amazingly sup-
portive of the general thrust of Multiple
Intelligences theory” (REF.32). However, the
general processing complexity of the brain
makes it unlikely that anything resembling
Multiple Intelligences theory can ever be
used to describe it, and it seems neither
accurate nor useful to reduce the vast range
of complex individual differences at neural
and cognitive levels to any limited number of
capabilities33. However, the neuromythologi-
cal part of Multiple Intelligences theory (that
is, its relation to neuroscience) is difficult to
test, not least because the task for Multiple
Intelligences theorists of defining the types
and number of intelligences remains a work
in progress.
A language barrier also separates non-
specialists from neuroscience evidence.
Apart from the technical jargon, there are
many familiar words that have new mean-
ings attached to them (including ‘learning’).
When we asked trainee teachers whether
a student could learn something without
attending to it, a surprising 43% thought
this was possible3. It is possible that teach-
ers interpret the word ‘attention’ (as in
‘paying attention’) as indicating a particular
set of overt behaviours (for example, not
Table 1 | Prevalence of neuromyths amongst practising teachers in five different international contexts
Myth*Percentage of teachers who “agree” (rather than “disagree” or “don’t know”)
United Kingdom
(n = 137)
The Netherlands
(n = 105)
Turkey
(n = 278)
Greece
(n = 174)
China
(n = 238)
We mostly only use 10% of our brain 48 46 50 43 59
Individuals learn better when they receive
information in their preferred learning style (for
example, visual, auditory or kinaesthetic)
93 96 97 96 97
Short bouts of co‑ordination exercises can improve
integration of left and right hemispheric brain
function
88 82 72 60 84
Differences in hemispheric dominance (left brain
or right brain) can help to explain individual
differences amongst learners
91 86 79 74 71
Children are less attentive after sugary drinks and
snacks
57 55 44 46 62
Drinking less than 6 to 8 glasses of water a day can
cause the brain to shrink
29 16 25 11 5
Learning problems associated with developmental
differences in brain function cannot be remediated
by education
16 19 22 33 50
*The table shows some of the most popular myths reported in four different studies from the United Kingdom1, The Netherlands1, Turkey4, Greece2 and China7. In all
studies, teachers were asked to indicate their levels of agreement with statements reflecting several popular myths, shown as “agree”, “don’t know” or “disagree”.
The table shows the percentages of teachers within each sample who responded with “agree”.
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talking, looking at the teacher, and so on)
rather than as the allocation of cognitive
processing resources.
Biases how myths are shaped. Although
protection from scrutiny provides a fertile
ground for the seeds of neuromyths to ger-
minate and thrive, their shape and form may
be influenced by cultural, emotional and
even developmental biases; for example, the
mind–brain relationship cannot be simplified
to an easily digested fact. Oversimplification
of this relationship provides a perfect oppor-
tunity for introducing biases from which
misunderstandings then develop. Although
at infancy we tend not to regard mind and
brain as being distinctly different34, devel-
opmental research suggests that children
acquire a bias towards ideas about mind and
brain35. Our beliefs about the mind–brain
relationship may shape our notions of free
will and, in turn, influence decisions regard-
ing issues of personal well-being and whether
to help others36,37. From a perspective that
tends towards dualism (compared with a
materialist perspective), brain development
is less open to influence through the mind
and is, in other words, more biologically pro-
grammed and provides a stronger constraint
on learning. The potential effect of such a
belief in the classroom can be seen in studies
of Chinese teachers and UK trainee teach-
ers; those who favoured a stronger genetic
influence on educational outcome also held
stronger ideas of biologically defined limits
on what their pupils could achieve, which
suggests that the teachers felt less able to
help them3,7. Factors that bias educators’
ideas about the mind–brain relationship can
also include strong cultural forces — such
as religious belief — that greatly vary across
national boundaries. In the UK, where half
of the population report no affiliation with
any religion38, only 15% of trainee teachers
believed that the mind results from the spirit
or the soul acting on the brain. By contrast, in
Greece — which stands out among European
states in terms of how religious its people
are39 — 72% of trainee teachers believed in
thisidea2.
Wishful and anxious thinking have also
been proposed as important emotional biases
that contribute to the distortion of sound
evidence25. Low-cost and easily implemented
classroom approaches can certainly cultivate
wishfulness amongst educators, especially
if they are fun and therefore likely to be well
received by students. The association with
neuroscience can be expected to further
boost the apparent credibility of the explana-
tion used to promote them40, as well as their
desirability41. The allure of explanations
involving the brain has probably helped to
promote programmes such as Brain Gym.
As part of this programme, learners are told
“brain buttons (soft tissue under the clavicle
to the left and right of the sternum) are mas-
saged deeply with one hand while holding the
navel with the other hand(REF.42). This is
supposed to improve many things, including
your “flow of electromagnetic energy”, your
ability to send messages from your right brain
hemisphere to the left side of the body, your
tendency to reverse letters and your ability to
keep your place while reading. Leaving aside
any flaws in its theoretical basis, there is a lack
of published research in high-quality journals
to make claims about the practical effective-
ness of Brain Gym to raise achievement. Of
the studies published elsewhere, the lack of
information about the exercises undertaken
and/or the insufficient or inappropriate analy-
sis of the results is considered to undermine
their credibility43.
To summarize, the neuromyths that have
flourished in areas of public and educa-
tional understanding of the brain are com-
fortably protected from the evidence and
concepts that are required to efface them.
This protection is provided by the scientific
concepts being fundamentally complex, by
the fact that evidence is hidden in techni-
cal journals that have their own technical
language and/or by the fact that there can-
not be any direct evidence (for example,
because the myth is untestable). Protected
from scrutiny, a range of emotional, devel-
opmental and cultural biases have influ-
enced the types of unscientific ideas that
have emerged.
Communication begins: out with the old?
In the past 10–15years, there have been
several critical analyses of the ways in which
neuroscience may, and may not, be able to
helpfully inform educational theory, policy
and practice44,45. Tentative political interest
has been evident from initiatives such as
the OECD’s supranational project Learning
Sciences and Brain Research46 and in a recent
review by the UK’s Royal Society47. Many
journal articles, reports and books have
reviewed insights from neuroscience that
have potential relevance to education and
their authors have often used these opportu-
nities to dismiss popular misunderstandings
along the way. These reviews have helped to
promote the idea that knowledge from neuro-
science might have value for education, and
an increasing number of reputable neuro-
scientists have published work for educational
audiences.
There are, of course, some who do not
share this enthusiasm. Following a confer-
ence in Santiago, Chile, on Early Education
and Human Brain Development in 2007,
136 scientists signed a declaration that
stated “neuroscientific research, at this
stage in its development, does not offer
scientific guidelines for policy, practice, or
parenting.(REF.48). Although few would
disagree with this statement, its scepti-
cal tone is clear. The editorial article that
reported the declaration stated that brain
research was “not ready to relate neuronal
processes to classroom outcomes” and
referred to the possibility of generating
popular misunderstandings about the brain
as a “serious downside” to this venture49.
Despite such warnings, there are now
many individuals who are pursuing inter-
disciplinary empirical research that relates
our understanding of the neural processes
of learning to classroom outcomes such
as learning to read and learning to use
formal mathematics. It may be significant
that the individuals leading these efforts
include several signatories of the Santiago
declaration.
As formal communications across the
divide between neuroscience and educa-
tion have become more frequent, it seems
prudent to ask how more recent findings in
neuroscience are being interpreted by people
in the field of education. Below, I discuss four
areas in which neuroscience has influenced
— or is close to influencing — educational
attitudes and approaches, in order to explore
whether the old biases and cultural condi-
tions responsible for neuromyths can still be
detected. Has the opening of this communi-
cation started to dissipate the old neuromyths
and the forces that created them?
Early development and the enduring
‘myth of three’. Neuroscience findings are
increasing our understanding of how fac-
tors such as sleep50, stress51 and nutrition52
influence infant development. Neural
markers have also been identified that
might be used to detect preschool children
who are at risk of developing learning dis-
orders53. As communication has improved
between neuroscientists, educators and
policy makers, efforts have been made to
‘set the record straight’ about issues such
as the ‘myth of three(REF.54) — that is,
the myth that time from 0 to 3years is
a critical period during which the great
majority of brain development occurs and
after which the trajectory of human devel-
opment is chiefly fixed55. The factual seeds
of this idea include recognition that there
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are critical and sensitive periods in the
development of particular brain systems.
The myth has helped to promote the genu-
ine importance of preschool experiences
as fundamental for later learning, but it is
an oversimplification that has also led to
misunderstandings. These include a sense
that adults are in a race against time to
provide stimulation to their infants before
their synapses are lost56. This anxiety has
been exploited by a host of manufactur-
ers offering toys to stimulate the brain57.
Neurodevelopmental studies have so far
provided little support for the idea that only
early childhood can be considered as a spe-
cial time for learning58, and neither research
in neuroscience59 nor in education60 provide
simple messages about the ages at which
investment in education gives maximum
return. Rather, findings suggest that the
success of educational interventions aim-
ing to improve the learning and well-being
of children requires attention to be paid to
the specific needs and characteristics of the
children and the type of intervention, as
well as the timing61.
Although attempts to dissipate the myth
of three have gained pace, the related neuro-
science has also grown in size and complex-
ity. Accordingly, many individuals working
in education, including policy makers, are
still susceptible to accepting simple models
of brain development without questioning
their relation to current understanding. The
bias towards simplicity, combined with the
persisting cultural gap between neuroscience
and education, has helped the myth of three
to emerge in new forms. One notable exam-
ple is the misinterpretation of early work
by the economist James Heckman62 (BOX1),
who drew on concepts of critical (or sensi-
tive) periods in brain development to derive
his simple ‘more begets more’ principle62.
The graph most often associated with this
principle is a plot of a mathematical function
that assumes that the brain is a continu-
ously developing, unitary entity (BOX1). This
graphical expression of the principle suggests
that the return (in terms of additional mental
capacity) for public investment in an indi-
vidual’s education is markedly diminished if
the investment occurs after infancy. However,
it is important to note that it is not a graph of
empirical data. In international discussions
about whether students should be expected
to invest financially in their own higher edu-
cation, this model has been used to support
statements such as “expanding higher educa-
tion based on contributions from those who
benefit from it rather than based on general
tax revenues is the most direct way to ensure
equity in education outcomes” (REF.13). In
other words, the neuroscientific basis of the
model has been overinterpreted in order to
provide an allegedly scientific argument for
withdrawing the public funding of university
education. In the UK, the graph has appeared
in educational policy documents63 as a plot of
empirical data (BOX1).
However, this simple model considerably
detracts from our modern understanding of
the brain58. Human development and learn-
ing arise from a range of interrelated neural
circuits subserving a range of cognitive and
other skills, which develop at different rates
until early adulthood, sometimes in a dis-
continuous manner. In addition, the concept
of the sensitive period in brain development
was based on findings that an impoverished
rearing environment resulted in impaired
development44, but that does not necessarily
mean that enriching the environment of nor-
mally developing children (for example, so-
called ‘hot-housing’) will result in a similarly
marked improvement in their brain develop-
ment. Therefore, the relevance of the sensitive
period concept may depend on how a child
has already developed. A later and more
sophisticated model of educational invest-
ment represents mental ability as comprising
two types: cognitive and non-cognitive64. This
model, when adjusted to fit the outcomes of
a sample of 2207 children, again emphasized
the importance of early investment, but par-
ticularly so for disadvantaged children. It also
made more nuanced predictions about the
targeting of investment. However, the earlier
simple model (BOX1) remains most popular in
discussions of policy, in which it is sometimes
referenced as summarizing findings in neuro-
cognitive development without a considera-
tion of its limiting assumptions (for example,
REF.65). The use of such theoretical models as
proxies for actual neuroscientific data in edu-
cational policy seems likely if the intersection
between neuroscience and education remains
fairly uncharted and unpopulated by those
with expertise in bothareas.
Difference and biological determinism.
The use and meaning of labels such as
‘attention deficit hyperactivity disorder
(ADHD)’ and ‘dyslexic’ has educational
Box 1 | Heckman economics as a proxy for neuroscience in educational policy
The ‘myth of three’ (that is, the belief that the trajectory of neurodevelopment is essentially fixed after
3years of age) can still be found in different forms in educational discussions. For example, an early
economic model of educational investment by Heckman62 is sometimes confused by educators as
representing neuroscientific evidence for the myth of three. This model was created by drawing on
concepts such as critical (or sensitive) periods in brain development to justify a simple ‘more begets
more’ principle of accumulating mental ability62. The model combined this principle with assumptions
that the brain is a continuously developing and unitary entity. This allowed prediction of the return (in
terms of additional mental capacity over a lifetime) from investing an additional (marginal) dollar in
education at different ages. The outcome of this prediction is the sweeping downward curve shown
here97 (where r is the costs of the funds) that implies the economic return from investing a dollar in the
education of a child under 3 years old is many times greater than if that dollar was invested in a
teenager’s education. Some policy makers seem to interpret this graph as a plot of evidence which
“shows that investment early in life produces better returns” (REF.63). However, the graph does not
show a plot of actual evidence; rather, it shows predicted returns from investment in education62.
Moreover, the prediction is based on a model whose assumptions are some way short of the current
understanding of
human brain
development and
mental ability64.
Reprinted from
Handbook of the
Economics of
Education, Vol. 1,
Cunha, F.,
Heckman, J.,
Lochner, L. and
Masterov, D.
Interpreting the
Evidence on Life
Cycle Skill
Formation,
697–812, ©
(2006), with
permission from
Elsevier.
Nature Reviews | Neuroscience
Age
0
Preschool School Post-school
Preschool
programmes
Schooling
Job training
Rates of return to human capital investment initially setting
investment to be equal across all ages
Rate of return to investment in human capital
rOpportunity cost of funds
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implications for resource allocation, teach-
ers’ attitudes and students’ achievements.
Neurobiological findings should and do
feature in expert discussions about learning
disorders, including their definition, causes
and treatment. In less scientific debates on
these subjects, a dualistic non-plastic mind–
brain model — in which the brain cannot
be influenced by the mind — has fuelled
arguments both in support of and against
the existence of particular learning disor-
ders. To individuals inclined towards such
a model, differences in functional imaging
data between groups of learners with and
without a disorder may seem to be biologi-
cally determined and immutable symptoms
and therefore make the disorder ‘more
real’. For example, ripostes to recent argu-
ments about whether ADHD exists66 have
emphasized statements such as “ADHD is
a real medical disorder, withreal brain dif-
ferences” (REF.67). Conversely, for people
who believe that all ‘proper’ disorders are
biologically determined and immutable,
the finding that symptoms of children
diagnosed with a disorder can be reduced
through teaching means that these children
never had a ‘real’ disorder to begin with. For
example, in the 2005 British Broadcasting
Corporation (BBC) television documentary
The Dyslexia Myth (Mills Productions), the
effectiveness of mainstream remediation
classes for dyslexic readers was presented
as evidence that dyslexia does not exist68.
Educators’ ideas are influenced by these
media representations69, and until ideas
from neurobiology are more meaningfully
integrated into educational training and
institutions this influence is likely to con-
tinue. This has implications for the children
they teach, not least because the achieve-
ment of students diagnosed with a learning
disorder partly depends on their teachers’
implicit attitude to the disorder70. Recent
studies provide evidence against ideas of
biologically determined and fixed qualita-
tive differences between individuals with
and without diagnosis of a developmental
disorder (FIG.1). These studies could be help-
ful in dissuading teachers of these ideas but,
without improved communications between
neuroscience and education, one cannot
assume this dissuasion will happen quickly.
For example, although early research fuelled
a visual theory of causation for dyslexia,
this was no longer accepted as the general
consensus by 1994 (REF.71). Rather, the long-
standing and most widely accepted explana-
tion involves a weakness in phonological
coding72. An intervention attempting to
target the visual system involves the use of
tinted overlays to overcome the associated
‘structural brain deficit(REF.73), but the
authors of a double-blind study investigat-
ing this approach reported no evidence of
positive benefit74. They indicated the ‘magic
bullet’ simplicity of the idea of using col-
oured filters to explain the popularity of
this intervention, combined with a mass
of anecdotal evidence that may also be
linked to the placebo effect. Nevertheless, a
majority of preschool teachers in a survey
in Southwest USA still considered dyslexia
as a visual perception deficit rather than a
problem with phonological processing and
thought that the idea that dyslexic children
could be helped by using coloured lenses
or coloured overlays was “probably or defi-
nitely true” (REF.69).
Engagement and dopamine mythology.
Insight into the relationship between reward
and declarative memory formation75 has
prompted educational research that uses
novel reward schedules to improve learning76.
Initial studies show that offering uncertain
rewards, which are thought to increase mid-
brain dopamine uptake77, can increase the
rate at which curriculum material is learnt78.
In our own attempts to translate these find-
ings into classroom learning games, we have
encountered new potential for neuromyths.
This has partly been a matter of language.
For example, educators’ understanding of
the term ‘motivation’ extends well beyond
its common usage in neuroscience (that is,
motivation as a short-term visceral desire
to approach)79; it also includes motivation
towards longer-term goals such as a university
career. In addition, many teachers already
possess preconceptions about dopamine
that influence their understanding of our
messages and, thereby, their practice with
regard to their students. Some associate it
with pleasure, with one teacher claiming that
“a good working environment will release
dopamine, and then they feel good and it is
remembered as something positive(REF.80).
However, we are often asked whether our
learning games will cause students to become
pathological gamblers or drug addicts.
Primitive neurobiological explanations
involving dopamine have now established
themselves as part of the folk perceptions
of addiction81. Dopamine mediates many
important cognitive processes and is not
restricted to explanations of drugs and risk-
taking, but anxieties around such activities
have strengthened in the public imagination
its association with all types of out-of-control
behaviour and danger. The frequency of
dopamine’s appearance in press stories has
Figure 1 | Imaging studies of interventions
are of particular interest to education. a | An
imaging study of developmental dyscalculia
(DD) involved a computer‑based ‘mental number
line’ training, in which children learned to
respond to number‑related questions by moving
a joystick in order to land a spaceship on a num
ber line98. b,c | After training, children with and
without DD improved their arithmetic ability
and showed reduced activation in a range of
mainly frontal regions when performing a num
ber line task (part b shows data for both groups
combined). Both behavioural and neural changes
were greater for the DD group (part c shows
brain areas in which the post‑training reduction
in activity was greater for the DD group than for
the control group). Studies such as this, which
focus both on problematic learner differences
and their remediation, are helpful and relevant
to education. Firstly, they provide insight into the
biology of individual differences which, when
integrated with educational expertise, may form
the basis of more effective approaches to teach
children with learning disorders in the future.
More immediately and more generally, they
show the plasticity of the brain and indicate that
brain function can be improved by a student
practising well‑designed tasks. Such studies
highlight not only how learning disorders may be
associated with distinct neurological differences
but also how such differences may be responsive
to appropriate teaching. This can help to foster
the types of positive teacher attitudes towards
learning disorders that are associated with bet
ter outcomes for the students who are diag
nosed with them70. Figure reprinted from
Neuroimage, 57, Kucian,K.etal., Mental number
line training in children with developmental
dyscalculia. 782–795, © (2011), with permission
from Elsevier.
Nature Reviews | Neuroscience
0 50 100
0 50 100
a
b
c
Reduced activation aer training
Greater reduction in children with DD than
in control children
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© 2014 Macmillan Publishers Limited. All rights reserved
resulted in it being dubbed “the media’s neu-
rotransmitter of choice” (REF.82). Dopamine
is linked in the media to problems as diverse
as gun culture83, the overconsumption of
cupcakes84 and obsessing about e-mails85.
This has helped to intertwine dopamine and
all types of addictive behaviour in the public
consciousness and to contribute to the world
of pseudoneuroscience, in which different
meanings can be attached to the same terms
and terms borrowed from neuroscience can
be merged with others to create new phrases.
I discovered this when a BBC journalist asked
me to use the term ‘dopamine hit’ when
describing students experiencing a learning
game because, she explained, people knew
what that term meant. This is a phrase that has
also arisen in our conversations with teachers.
When used as a noun, ‘hit’ is commonly used
as the slang term for a unit of an illegal drug86.
It seems that messages for educators — how-
ever scientifically sound the underlying con-
cepts are — will come into contact with other
ideas that are less scientific, which may influ-
ence the message that is received. Working
with educators has allowed us to identify such
misconceptions early in the process of trans-
lation and to work collaboratively in develop-
ing resources that anticipate and explicitly
address such confusions.
Adolescence and brake failure. Under-
standing brain function has already con-
tributed to interventions for teenagers; for
example, major changes in sleep regulation
processes in the brain have helped to explain
why teenagers can be ill-prepared for learn-
ing early in the morning87,88. An improved
understanding of the biology of teenage sleep
issues has helped to justify interventions to
shift the school day and to improve attend-
ance, as well as reducing sleepiness89 and rais-
ing self-reported motivation90. Neuroscience
has also provided insights into the continu-
ing maturation of brain regions involved in
social cognition and self-awareness that may
inform future school-based interventions for
teenagers, for example, for tackling anti-social
behaviour91.
Increased risk-taking during adolescence
has been explained in terms of a dual-systems
framework of neurodevelopment that relates
increased reward-seeking to an early adoles-
cent peak in dopaminergic activity; the pre-
frontal cortex and its connections to regions
involved in control and coordination of affect
and cognition are slower to mature92. These
changes have been described as being respon-
sible for an individual temporarily having ‘all
gas and no brakes’ during adolescence. This
metaphor is frequently used to help educators
to understand the behaviour of their stu-
dents. For example, in a Canadian teachers
journal, psychologist Aaron White advises
“because the frontal lobes are involved in
controlling impulses and making good deci-
sions, adolescents often fail to fully consider
the consequences of their actions until it’s too
late. They are all gas and no brakes!” (REF.93).
Similar representations of the dual-systems
framework can be found in the popu-
larpress94. However, the metaphor can sug-
gest that an individual is completely detached
from their own free will and that they are
‘immune’ to the normative social influences
around them (that is, their teachers and par-
ents). This creates moral and practical dilem-
mas regarding how teachers should and can
respond effectively, for example, to teenagers
behaving disruptively in class. Arguments
over whether such poor behaviour can be
blamed on the brain partly mirror those
raised in relation to teenage crime. In educa-
tion, as in the law courts, our moral intui-
tions about legal responsibility are entwined
with culturally inherited ideas of free will and
a dualist mind–brain relationship, both of
which are likely to be influenced by sophisti-
cated thinking about the mind and its neural
basis95. In other words, through interaction
with existing biases, our intuitions about
moral responsibility are likely to be influ-
enced by the field of neuroscience, despite the
field itself making few claims for authority in
this area. On a practical level, teachers also
want to know how best to interact with the
developing neural circuitry of teenagers and
how to encourage their students to improve
their behavioural self-control. For teachers,
the ‘gas and no brakes’ message appears to
imply that “upskilling the driver does not
present as a possible solution, since poor/
weak brakes (the immature PFC [prefrontal
cortex]) — or no brakes at all — cannot be
fixed” (REF.94). It seems that many teachers
are exposed to a version of the dual-systems
framework that may already be influencing
their practice but not necessarily in ways
that most appropriately relate the neurosci-
ence to educational understanding. It has
been suggested that neuroscientists have a
responsibility to reduce neurodevelopmental
complexity into accessible, data-informed
messages for non-scientists96 and this may
work well in some ‘real-world’ domains.
However, in education, effective communi-
cation may require neuroscientists to work
in collaboration with those who are more
familiar with the cultural conditions and
concepts of education — that is, the educa-
tors themselves — to ensure that the content
of the communication is fit for purpose.
Conclusions and the future
Neuromyths are misconceptions about the
brain that flourish when cultural conditions
protect them from scrutiny. Their form is
influenced by a range of biases in how we
think about the brain. Some long-standing
neuromyths are present in products for edu-
cators and this has helped them to spread in
classrooms across the world. Genuine com-
munication between neuroscience and edu-
cation has developed considerably in recent
years, but many of the biases and conditions
responsible for neuromyths still remain
and can be observed hampering efforts to
introduce ideas about the brain into educa-
tional thinking. We see new neuromyths on
the horizon and old neuromyths arising in
new forms, we see ‘boiled-down’ messages
from neuroscience revealing themselves as
inadequate, and we see confusions about the
mind–brain relationship and neural plasticity
in discussions about educational investment
and learning disorders.
More interdisciplinary collaboration
between neuroscience and education may
help to identify and to address misunder-
standings as they arise, and may help to
develop concepts and messages that are both
scientifically valid and educationally inform-
ative. A new field focused on such collabora-
tion is now emerging, although it is too new
for its many proponents to have settled on a
name for it — ‘Brain, Mind and Education,
‘Neuroeducation’ and ‘Educational
Neuroscience’ being current contenders. A
field dedicated to the interaction between
neuroscience and education will not only
inform educational approaches but also
may encourage scientific insight regarding
the relationship of neural processes to the
complex behaviours that are observed in the
classroom. Research centres combining neu-
roscience and education are forming around
the world, often offering postgraduate
courses. Although individual approaches in
these centres vary, there is a common appre-
ciation of the size of the challenge that lies
ahead, of the marked differences in concepts
and language between neuroscience and
education, and of the need for neuro scientists
and educators to work together when
attempting to bridge these two disciplines. In
the future, such collaboration will be greatly
needed if we wish education to be enriched
rather than misled by neuroscience.
Paul A.Howard-Jones is at the Graduate School of
Education, University of Bristol,
35 Berkeley Square, Bristol BS8 1JA, UK.
e-mail: paul.howard-jones@bris.ac.uk
Published online 15 October 2014
doi:10.1038/nrn3817
PERSPECTIVES
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© 2014 Macmillan Publishers Limited. All rights reserved
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Competing interests statement
The author declares no competing interests.
PERSPECTIVES
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... For example, there is a false belief that only ten percent of our brains are used. Since these misunderstandings are related to knowledge of the mind and the brain, and they are widely held as a belief in the society, they are called neuromyths in the field of education (Geake, 2008;Goswami, 2008;Howard-Jones, 2014;OECD, 2002;Waterhouse, 2006). ...
... The findings of the second problem of the research revealed that the teachers have nine neuromyths, which can disseminate the neuromyths to their students. Similarly, many survey results (Dekker et al., 2012;Howard-Jones, 2014;Abdelkrim, Alami, Abdelaziz, & Souirti, 2020) indicated the prevalence of similar neuromyths among teachers in different countries such as United Kingdom, the Netherlands, Turkey, Greece and China. Dekker et al. (2012) in his study stated 'we use only 10% of our brain' neuromyth not only neuromyth but also affect the teaching process in schools. ...
... Recent research studies revealed that education could be conversant by neurocognition, as a lot of thinks that the findings from neurosicence research could be transformed into realistic strategies for teachers could use to improve their teaching (Geake and Cooper, 2003;Goswami, 2004;Blakemore and Frith, 2005;Posner and Rothbart, 2005;Ansari and Coch, 2006;Immodino-Yang and Damasio, 2007;Pickering and Howard-Jones, 2007;Varma et al., 2008;Howard-Jones, 2014;Ansari,2015;Willingham, 2009;Gleichgerrcht et al., 2015;Horvath and Donoghue, 2016;Papadatou-Pastou et al., 2017;Ortiz, 2019;Grospietsch & Mayer, 2019; for reliable accounts). Rato et al. (2013) surveyed teachers who taught in preschool to high school levels and found that they failed to distinguish perspective of neurocognition from facts, irrespective of the area taught and level of teaching. ...
... The tool was developed by the researchers. The researchers got idea of the statements from various previous studies (Ullman, 2001;Seal, et al., 2004;Leevers, et al., 2005;Friederici and Wartenburger, 2010;kuhl, 2011;Hook & Farah, 2012;Dekker et al., 2012;Bialystok and Poarch, 2014;Howard-Jones et al., 2014;Sripongwiwat et al., 2016;Sasikumar et al., 2016;Ferrero et al., 2016;Papadatou-Pastou et al., 2017;Plerou, Margetaki and Vlamos, 2017;De Smedt, 2018). There were two main phases such as content validity and factor analysis conducted during the tool development of "Neurocognitive Strategy Awareness Inventory for Teachers" (NSAIT) in 2019. ...
... Plerou, Margetaki and Vlamos (2016) reveal that Neurocognitive educational perception is essential for teachers and also suggest that additional research within the frame of educational neuroscience for enlarge the field. Neurocognitive strategies provide insights which make faster creativity in classroom, but very few attempts has been made to evaluate such strategies when their design and/or implementation by these insights (Howard-Jones, 2014). In that way, the researchers make an attempt to ascertain the perception of language teachers towards Neurocognitive strategies for contribute the teacher's teaching success to produce policy decisions. ...
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The study highlights on Neurocognitive strategies perception and utilization among language teachers. The survey method was adopted for the research study. The researchers used Neurocognitive Perception Inventory is utilized to collect the samples. It is consisted as 166 language teachers at school level in Tiruchirappalli region. Descriptive and Differential statistics were used for the analysis of the data through SPSS. The result of the study reveals that the level of Neurocognitive perception among the language teachers is average. Finally, the results were interpreted in the context of Neurocognitive perception and some recommendations were made.
... A number of widespread beliefs about instructional practice have been criticised as lacking a scientific basis (e.g. Dekker, Lee, Howard-Jones, & Jolles, 2012;Howard-Jones, 2014;Kirschner, 2017;Kirschner, Sweller, & Clark, 2006). For example, 93% of teachers still subscribe to the (now widely debunked) idea of student learning styles (Dekker et al., 2012). ...
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Teachers sometimes believe in the efficacy of instructional practices that have little empirical support. These beliefs have proven difficult to efface despite strong challenges to their evidentiary basis. Teachers typically develop causal beliefs about the efficacy of instructional practices by inferring their effect on students' academic performance. Here, we evaluate whether causal inferences about instructional practices are susceptible to an outcome density effect using a contingency learning task. In a series of six experiments, participants were ostensibly presented with students' assessment outcomes, some of whom had supposedly received teaching via a novel technique and some of whom supposedly received ordinary instruction. The distributions of the assessment outcomes was manipulated to either have frequent positive outcomes (high outcome density condition) or infrequent positive outcomes (low outcome density condition). For both continuous and categorical assessment outcomes, participants in the high outcome density condition rated the novel instructional technique as effective, despite the fact that it either had no effect or had a negative effect on outcomes, while the participants in the low outcome density condition did not. These results suggest that when base rates of performance are high, participants may be particularly susceptible to drawing inaccurate inferences about the efficacy of instructional practices.
... Such demand arises partly from growing awareness of the numbers of teachers holding unscientific beliefs about the brain-so-called "neuromyths" (Howard-Jones, 2014). Some prevalent neuromyths, such as the effectiveness of teaching to learning styles (Nancekivell, Shah, & Gelman, 2020), are linked directly to practices with little evidence to support them (Aslaksen & Loras, 2018;Rogowsky, Calhoun, & Tallal, 2020). ...
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This pilot study investigated how a brief professional development session on the science of learning impacted teachers' attributions of usefulness to both scientific and performative concepts about teaching. Ratings were collected from teachers attending five events across the United Kingdom (N = 585) before and after receiving a 90‐min training session. Initial ratings of scientific concepts were positively correlated with age, while initial ratings of performative concepts were negatively correlated with years of experience. Immediately following professional development, the value teachers attributed to scientific concepts for understanding their practice increased, while their valuing of performative concepts decreased. A follow‐up study with a subsample (N = 153) revealed the impact was reduced but persisted 6–12 weeks later. Results are discussed in terms of the potential for a scientific understanding of learning to empower educators as expert professionals.
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