What Mind, Brain and Education can do for Teaching. By Tracey Tokuhama-Espinosa. January 2011
- 1. Tracey
Tokuhama-‐Espinosa,
Ph.D.
Jan
2011
Article
published
in
New
Horizons
in
Education
John
Hopkins
School
of
Education
http://education.jhu.edu/newhorizons
NewHorizons_SOE@jhu.edu
6740
Alexander
Bell
Drive
-‐
Columbia,
MD
21231
410-‐516-‐9755
WHAT
MIND,
BRAIN,
AND
EDUCATION
(MBE)
SCIENCE
CAN
DO
FOR
TEACHING
Abstract
If
the
combination
of
neuroscience,
psychology
and
education
(“Mind,
Brain,
and
Education
science)
is
the
way
we
should
approach
teaching
from
now
on,
what
exactly
are
the
lessons
we
can
apply
to
the
classroom?
This
article
looks
at
five
well-‐
established
facts
whose
evidence
points
to
better
teaching
practices.
The
following
is
an
excerpt
from
Mind,
Brain,
and
Education
Science:
A
comprehensive
guide
to
the
new
brain-based
teaching
(W.W.
Norton)
a
book
based
on
over
4,500
studies
and
with
contributions
from
the
world’s
leaders
in
MBE
Science.
Evidence-Based
Solutions
for
the
Classroom
“What
a
thing
is
and
what
it
means
are
not
separate,
the
former
being
physical
and
the
latter
mental
as
we
are
accustomed
to
believe.”
—James
J.
Gibson,
“More
on
Affordances”
(1982,
p.
408)
How
do
we
learn
best?
What
is
individual
human
potential?
How
do
we
ensure
that
children
live
up
to
their
promise
as
learners?
These
questions
and
others
have
been
posed
by
philosophers
as
well
neuroscientists,
psychologists,
and
educators
for
as
long
as
humans
have
pondered
their
own
existence.
Because
MBE
science
moves
educators
closer
to
the
answers
than
at
any
other
time
in
history,
it
benefits
teachers
in
their
efficacy
and
learners
in
their
ultimate
success.
Great
teachers
have
always
“sensed”
why
their
methods
worked;
thanks
to
brain
imaging
technology,
it
is
now
possible
to
substantiate
many
of
these
hunches
with
empirical
scientific
research.
For
example,
good
teachers
may
suspect
that
if
they
give
their
students
just
a
little
more
time
to
respond
to
questions
than
normal
when
called
upon,
they
might
get
better-‐quality
answers.
Since
1972
there
has
been
empirical
evidence
that
if
teachers
give
students
several
seconds
to
reply
to
questions
posed
in
class,
rather
than
the
normal
single
second,
the
probability
of
a
quality
reply
increases.1
Information
about
student
response
time
is
shared
in
some
1
Studies that offer evidence to this effect include Chun & Turk-Browne (2007); Pashler, Johnsyon, &
Ruthruff (2001); Posner (2004); Sarter, Gehring, & Kozak (2006); Smallwood, Fishman, & Schooler,
(2007); Stahl (1990); Chiles (2006); Thomas (1972).
- 2. Tracey
Tokuhama-‐Espinosa,
Ph.D.
Jan
2011
Article
published
in
New
Horizons
in
Education
John
Hopkins
School
of
Education
http://education.jhu.edu/newhorizons
NewHorizons_SOE@jhu.edu
6740
Alexander
Bell
Drive
-‐
Columbia,
MD
21231
410-‐516-‐9755
teacher
training
schools,
but
not
all.
Standards
in
MBE
science
ensure
that
information
about
the
brain’s
attention
span
and
need
for
reflection
time
would
be
included
in
teacher
training,
for
example.
The
basic
premise
behind
the
use
of
standards
in
MBE
science
is
that
fundamental
skills,
such
as
reading
and
math,
are
extremely
complex
and
require
a
variety
of
neural
pathways
and
mental
systems
to
work
correctly.
MBE
science
helps
teachers
understand
why
there
are
so
many
ways
that
things
can
go
wrong,
and
it
identifies
the
many
ways
to
maximize
the
potential
of
all
learners.
This
type
of
knowledge
keeps
educators
from
flippantly
generalizing,
“He
has
a
problem
with
math,”
and
rather
encourages
them
to
decipher
the
true
roots
(e.g.,
number
recognition,
quantitative
processing,
formula
structures,
or
some
sub-‐skill
in
math).
MBE
science
standards
make
teaching
methods
and
diagnoses
more
precise.
Through
MBE,
teachers
have
better
diagnostic
tools
to
help
them
more
accurately
understand
their
students’
strengths
and
weakness.
These
standards
also
prevent
teachers
from
latching
onto
unsubstantiated
claims
and
“neuromyths”
and
give
them
better
tools
for
judging
the
quality
of
the
information.
Each
individual
has
a
different
set
of
characteristics
and
is
unique,
though
human
patterns
for
the
development
of
different
skills
sets,
such
as
walking
and
talking,
doing
math
or
learning
to
read,
do
exist.
One
of
the
most
satisfying
elements
of
MBE
science
is
having
the
tools
to
maximize
the
potential
of
each
individual
as
he
or
she
learns
new
skills.
Figure
2.1
Discipline
and
sub-‐disciplines
in
Mind,
Brain,
and
Education
Science
- 3. Tracey
Tokuhama-‐Espinosa,
Ph.D.
Jan
2011
Article
published
in
New
Horizons
in
Education
John
Hopkins
School
of
Education
http://education.jhu.edu/newhorizons
NewHorizons_SOE@jhu.edu
6740
Alexander
Bell
Drive
-‐
Columbia,
MD
21231
410-‐516-‐9755
Source:
Bramwell
for
Tokuhama-Espinosa
Education
is
now
seen
as
the
natural
outgrowth
of
the
human
thirst
to
know
oneself
better
combined
with
new
technology
that
allows
the
confirmation
of
many
hypotheses
about
good
teaching
practices.
Past
models
of
learning,
many
of
which
came
from
psychology
and
neuroscience,
lay
the
path
for
current
research
problems
being
addressed
today
to
devise
better
teaching
tools.
For
example,
early
in
the
development
of
psychology,
Freud
theorized
that
part
of
successful
behavior
management
techniques,
including
teaching,
was
the
result
of
actual
physical
- 4. Tracey
Tokuhama-‐Espinosa,
Ph.D.
Jan
2011
Article
published
in
New
Horizons
in
Education
John
Hopkins
School
of
Education
http://education.jhu.edu/newhorizons
NewHorizons_SOE@jhu.edu
6740
Alexander
Bell
Drive
-‐
Columbia,
MD
21231
410-‐516-‐9755
changes
in
the
brain,
not
just
intangible
changes
in
the
mind.2
This
theory
has
since
been
proven
through
evidence
of
neural
plasticity
and
the
fact
that
the
brain
changes
daily,
albeit
on
a
microscopic
level,
and
even
before
there
are
visible
changes
in
behavior.
These
changes
vary
depending
on
the
stimulus,
past
experiences
of
the
learners,
and
the
intensity
of
the
intervention.
What
were
once
hypotheses
in
psychology
are
now
being
proven,
thanks
to
this
new
interdisciplinary
view
and
the
invention
of
technology.
On
the
other
hand,
other
past
beliefs
about
the
brain
have
been
debunked.
For
example,
it
was
once
fashionable
to
think
of
a
right
and
a
left
brain
that
competed
for
students’
attention
and
use.
It
has
now
been
proven
beyond
a
doubt
that
the
brain
works
as
a
complex
design
of
integrated
systems,
not
through
specialized
and
competing
right-‐
and
left-‐brained
functions.
These
examples
show
how
past
beliefs
are
now
partnered
with
evidence
about
the
functioning
human
brain
to
produce
this
powerful,
new
teaching–learning
model.
The
Five
Well-Established
Concepts
of
MBE
Science
The
following
summary
of
the
well-‐established
concepts
in
MBE
science
comes
from
MBE
Science:
The
New
Brain-Based
Education,3
which
I
wrote:
1.
Human
brains
are
as
unique
as
faces.4
Although
the
basic
structure
is
the
same,
no
two
are
identical.
While
there
are
general
patterns
of
organization
in
how
different
people
learn
and
which
brain
areas
are
involved,
each
brain
is
unique
and
uniquely
organized.
The
uniqueness
of
the
human
brain
is
perhaps
the
most
fundamental
belief
in
MBE
science.
Even
identical
twins
leave
the
womb
with
physically
distinct
brains
due
to
the
slightly
different
experiences
they
had;
one
with
his
ear
pressed
closer
to
the
uterus
wall
and
bombarded
with
sounds
and
light,
and
the
other
smuggled
down
deep
in
the
dark.
There
are
clear
patterns
of
brain
development
shared
by
all
people,
but
the
uniqueness
of
each
brain
explains
why
students
learn
in
slightly
different
ways.
Many
popular
books
try
to
exploit
this
finding
by
using
it
as
an
“excuse”
for
the
inability
of
teachers
to
reach
all
learners.
This
is
simply
irresponsible.
The
uniqueness
of
each
brain
is
not
to
be
overshadowed
by
the
fact
that
humans
as
a
species
share
clear
developmental
stages
that
set
parameters
for
learning.
2.
All
brains
are
not
equal
because
context
and
ability
influence
learning.5
Context
includes
the
learning
environment,
motivation
for
the
topic
of
new
learning,
and
prior
knowledge.
Different
people
are
born
with
different
abilities,
which
they
can
improve
upon
or
lose,
depending
on
the
stimuli
or
lack
thereof.
How
learners
receive
stimuli
is
impacted
by
what
they
bring
to
the
learning
context,
including
past
experience
and
prior
knowledge.
This
means
that
children
do
not
enter
the
2
Doidge (2007).
3
Tokuhama-Espinosa (2010).
4
Tokuhama-Espinosa (2008, p. 356).
5
Tokuhama-Espinosa (2008, p. 356).
- 5. Tracey
Tokuhama-‐Espinosa,
Ph.D.
Jan
2011
Article
published
in
New
Horizons
in
Education
John
Hopkins
School
of
Education
http://education.jhu.edu/newhorizons
NewHorizons_SOE@jhu.edu
6740
Alexander
Bell
Drive
-‐
Columbia,
MD
21231
410-‐516-‐9755
classroom
on
an
even
playing
field.
Some
are
simply
more
prepared
for
the
world
from
birth.
This
is
a
harsh
reality
to
face
because
it
explicitly
establishes
a
definitive
framework
for
potential.
The
key,
however,
is
to
maximize
this
potential.
There
are
thousands
of
people
who
are
born
with
the
potential
or
circumstances
to
be
quite
smart
who
do
not
live
up
to
this
possibility,
while
there
are
thousands
who
are
born
with
modest
potential,
but
who
maximize
this
“limitation”
well
beyond
expectations.
Genes,
previous
experiences,
and
what
the
child
does
with
his
or
her
potential
contribute
to
the
child’s
success
as
a
learner.
3.
The
brain
is
changed
by
experience.6
The
brain
is
a
complex,
dynamic,
and
integrated
system
that
is
constantly
changed
by
experience,
though
most
of
this
change
is
evident
only
at
a
microscopic
level.
You
will
go
to
bed
tonight
with
a
different
brain
from
the
one
you
had
when
you
awoke.
Each
smell,
sight,
taste,
and
touch
you
experience
and
each
feeling
or
thought
you
have
alters
the
physical
form
of
your
brain.
Although
these
brain
changes
are
often
imperceptible
unless
viewed
under
a
powerful
microscope,
they
constantly
change
the
physical
makeup
of
the
brain.
With
rehearsal,
these
changes
become
permanent—which
can
work
in
both
positive
and
negative
ways.
Areas
of
the
brain
that
are
used
together
tend
to
be
strengthened,
whereas
areas
that
are
not
stimulated
atrophy.
This
truth
gives
rise
to
the
Hebbian
synapse
concept
(1949):
Neurons
that
fire
together,
wire
together.
The
“wire
together”
part
is
a
physical
manifestation
of
how
life
experiences
change
the
brain.
In
short,
it
is
nearly
impossible
for
the
brain
not
to
learn
as
experience—
broadly
defined
as
“knowledge
or
practical
wisdom
gained
from
what
one
has
observed,
encountered,
or
undergone”7
—changes
the
brain
on
a
daily
basis.
4.
The
brain
is
highly
plastic.8
Human
brains
have
a
high
degree
of
plasticity
and
develop
throughout
the
lifespan,
though
there
are
major
limits
on
this
plasticity,
and
these
limits
increase
with
age.
People
can,
and
do,
learn
throughout
their
lives.
One
of
the
most
influential
findings
of
the
20th
century
was
the
discovery
of
the
brain’s
plasticity.
This
discovery
challenges
the
earlier
belief
in
localization
(i.e.,
that
each
brain
area
had
a
highly
specific
function
that
only
that
area
could
fulfill),
which
lasted
for
hundreds
of
years.
It
has
now
been
documented
that
neuroplasticity
can
explain
why
some
people
are
able
to
recuperate
skills
thought
to
be
lost
due
to
injury.
People
born
with
only
one
hemisphere
of
the
brain,
who
nevertheless
manage
to
live
their
lives
normally,
are
an
extreme
example
of
this
plasticity.
Antonio
Battro
and
Mary
Helen
Immordino-‐Yang,
offer
documentation
of
people
with
half
a
brain.
Antonio
Battro’s
work
on
Half
a
Brain
Is
Enough:
The
Story
of
Nico
(2000)
is
a
remarkable
documentation
of
one
child’s
life
with
just
a
half
a
brain
and
defies
previous
concepts
about
skill
set
location
in
the
brain.
Taking
Battro’s
lead,
Immordino-‐Yang
offers
the
detailed
story
of
two
cases
in
her
recent
work,
“A
Tale
of
Two
Cases:
Lessons
for
Education
from
the
Study
of
Two
Boys
Living
with
Half
Their
Brains”
(2007).
She
shows
how
the
entire
brain
works
as
a
single
large
system,
and
6
Tokuhama-Espinosa (2008, p. 356).
7
Dictionary.com (2010). Definition of learning.
8
Tokuhama-Espinosa (2008, p. 357).
- 6. Tracey
Tokuhama-‐Espinosa,
Ph.D.
Jan
2011
Article
published
in
New
Horizons
in
Education
John
Hopkins
School
of
Education
http://education.jhu.edu/newhorizons
NewHorizons_SOE@jhu.edu
6740
Alexander
Bell
Drive
-‐
Columbia,
MD
21231
410-‐516-‐9755
when
parts
are
missing,
as
in
the
case
of
these
two
children
who
were
born
with
only
half
a
brain
each,
then
other
parts
of
the
brain
can
“take
over”
and
learn
functions
with
which
they
are
not
normally
associated.
Researchers
such
as
Paul
Bach-‐y-‐Rita
make
it
clear
that
“we
see
with
our
brains,
not
with
our
eyes”
(as
cited
in
Doidge,
2007,
p.
14).
That
is,
the
brain
as
a
whole
is
responsible
for
sensory
perception,
not
necessarily
a
single
part
of
the
brain.
Bach-‐y-‐Rita
explains
this
point
using
a
simple
metaphor:
Let’s
assume
that
you
are
driving
from
point
A
to
point
B.
You
normally
take
the
most
efficient
route,
but
if
a
bridge
is
down
or
the
road
is
blocked,
you
take
a
secondary
road.
This
secondary
road
might
not
be
as
fast
as
the
“natural”
route,
but
it
gets
you
to
point
B
all
the
same,
and
it
may
even
become
the
preferred
route
if
it
is
sufficiently
reinforced.
Perhaps
the
author
who
has
done
the
most
to
explain
neuroplasticity
to
the
public
is
physician
Norman
Doidge,
who
has
documented
studies
that
“showed
that
children
are
not
always
stuck
with
the
mental
abilities
they
are
born
with;
that
the
damaged
brain
can
often
reorganize
itself
so
that
when
one
part
fails,
another
can
often
substitute;
that
is
brain
cells
die,
they
can
at
times
be
replaced;
that
many
‘circuits’
and
even
basic
reflexes
that
we
think
are
hardwired
are
not.”9.
Neuroplasticity
has
implications
for
brains
that
have
been
damaged,
but
also
for
basic
learning
in
classroom
experiences
and
how
we
think
about
education.
Whereas
it
was
popular
in
the
1990s
to
think
of
the
“crucial”
early
years,
it
is
now
acknowledged
that
learning
takes
place
throughout
the
lifespan.
Does
this
point
speak
against
the
privileging
of
early
childhood
educational
practices?
Not
at
all;
it
simply
means
that
under
the
right
conditions,
the
skills
that
identify
normal
developmental
stages
should
be
seen
as
benchmarks,
not
roadblocks,
because
humans
can
learn
throughout
the
lifespan.
5.
The
brain
connects
new
information
to
old.10
Connecting
new
information
to
prior
knowledge
facilitates
learning.
We
learn
better
and
faster
when
we
relate
new
information
to
things
that
we
already
know.
This
principle
may
sound
like
it
needs
no
evidence—we
experience
it
every
day.
For
example,
let’s
say
you
are
going
somewhere
you
have
never
been
before.
When
someone
gives
you
directions,
it
is
very
helpful
if
they
offer
you
a
point
of
reference
that
is
familiar
to
you
(“You’ll
see
the
post
office;
from
there,
turn
right
at
the
next
corner”).
Similarly,
when
a
child
learns,
he
or
she
builds
off
of
a
past
knowledge;
there
is
no
new
learning
without
reference
to
the
past.
It
is
unfortunate
that
new
concepts
are
sometimes
taught
in
schools
in
a
conceptual
vacuum
without
anchoring
the
information
to
what
students
already
know.
This
vacuum
is
the
reason
that
students
who
have
a
poor
foundation
in
a
particular
subject
will
continue
to
fail.
How
can
a
child
who
does
not
understand
addition
move
on
to
understand
subtraction?
To
use
a
house-‐building
metaphor,
if
we
have
a
weak
foundation,
then
it
is
irrelevant
how
sturdy
the
walls
are,
or
how
9
Doidge (2007, p. xv).
10
Tokuhama-Espinosa (2008a, p. 357).
- 7. Tracey
Tokuhama-‐Espinosa,
Ph.D.
Jan
2011
Article
published
in
New
Horizons
in
Education
John
Hopkins
School
of
Education
http://education.jhu.edu/newhorizons
NewHorizons_SOE@jhu.edu
6740
Alexander
Bell
Drive
-‐
Columbia,
MD
21231
410-‐516-‐9755
well
built
the
roof
is;
the
structure
cannot
be
supported.
This
is
an
argument
for
quality
instruction
in
the
early
years.
Without
a
firm
foundation
in
basic
mathematical
conceptualization
(or
basic
concepts
in
language,
values,
artistic
or
social
content,
for
that
matter),
then
a
student
will
have
a
lot
of
trouble
moving
on
to
build
more
complex
conceptual
understandings.
The
well-‐established
concepts
in
MBE
science
are
not
new
ideas.
All
five
have
been
around
for
decades,
if
not
centuries.
What
is
new
is
that
all
five
concepts
have
been
proven
without
a
doubt
in
neuroscience,
psychology,
and
educational
settings,
adding
to
their
credibility
for
use
in
planning,
curriculum
design,
classroom
methodology
design,
and
basic
pedagogy.
What
is
new
is
their
consistent
application
in
best-‐practice
classroom
settings.
These
five
“truths”
should
guide
all
teaching
practices
as
well
as
future
research
on
better
teaching
tools.11
References
Chiles,
O.
(2006).
Test
taking
time
and
quality
of
high
school
education.
Master’s
thesis,
University
of
South
Alabama,
Mobile,
AL.
AAT
1433221.
Chun,
M.,
&
Turk-‐Browne,
N.B.
(2007).
Interactions
between
attention
and
memory.
Current
Opinion
in
Neurobiology,
17(2),
177–184.
Doidge,
N.
(2007).
The
brain
that
changes
itself.
New
York:
Penguin.
Gibson,
J.
J.
(1982).
More
on
Affordances.
Online
memo
taken
from
E.S.
Reed
&
R.
Jones
(Eds.),
Reasons
for
realism
(pp.
406–408).
Hillsdale,
NJ:
Erlbaum.
Available
online
at
http://www.computerusability.com/Gibson/files/moreaff.html
Pashler,
H.,
McDaniel,
M.,
Rohrer,
D.,
&
Bjork,
R.
(2008).
Learning
styles:
Concepts
and
evidence.
Psychological
Science
in
the
Public
Interest,
9(3),
103–199.
Posner,
M.
(2004b).
Is
the
combination
of
psychology
and
neuroscience
important
to
you?
Impuls:
Tidsskrift
for
Psyckhologi,
3,
6–8.
Posner,
M.
(2004c).
Neural
systems
and
individual
differences.
Teachers
College
Record,
106(1),
��24–30.
Posner,
M.
(Ed.).
(2004a).
Cognitive
neuroscience
of
attention.
New
York:
Guilford
Press.
11
For a thorough review of each OECD category, readers are invited to read Mind, Brain, and Education
Science: The New Brain-Based Learning (Tokuhama-Espinosa, 2010a).
- 8. Tracey
Tokuhama-‐Espinosa,
Ph.D.
Jan
2011
Article
published
in
New
Horizons
in
Education
John
Hopkins
School
of
Education
http://education.jhu.edu/newhorizons
NewHorizons_SOE@jhu.edu
6740
Alexander
Bell
Drive
-‐
Columbia,
MD
21231
410-‐516-‐9755
Sarter,
M.,
Gehring,
W.J.,
&
Kozak,
R.
(2006).
More
attention
must
be
paid:
The
neurobiology
of
attentional
effort.
Brain
Research
Reviews,
51(2),
145–160.
Smallwood,
J.,
Fishman,
D.J.,
&
Schooler,
J.W.
(2007).
Counting
the
cost
of
an
absent
mind:
Mind
wandering
as
an
under
recognized
influence
on
educational
performance.
Psychonomic
Bulletin
and
Review,
14(2),
230.
Stahl,
R.
(1990).
Using
“think-time”
behaviors
to
promote
students'
information
processing,
learning,
and
on-task
participation:
An
instructional
module.
Tempe,
AZ:
Arizona
State
University.
Thomas,
J.
(1972).
The
variation
of
memory
with
time
for
information
appearing
during
a
lecture.
Studies
in
Adult
Education,
4,
57–62.
Tokuhama-‐Espinosa,
T.
(2010).
The
new
science
of
teaching
and
learning:
Using
the
best
of
mind,
brain,
and
education
science
in
the
classroom.
New
York:
Columbia
University
Teachers
College
Press.
Tokuhama-‐Espinosa,
T.
(2008b).
Summary
of
the
international
Delphi
expert
survey
on
the
emerging
field
of
neuroeducation
(Mind,
rain,
and
Education/educational
neuroscience).
Unpublished
manuscript.
Books
on
this
topic
by
Tracey
Tokuhama-Espinosa:
Tokuhama-‐Espinosa,
T.
(2010).
The
new
science
of
teaching
and
learning:
Using
the
best
of
mind,
brain,
and
education
science
in
the
classroom.
New
York:
Columbia
University
Teachers
College
Press.
Tokuhama-‐Espinosa,
T.
(2010).
Mind,
Brain,
and
Education
Science:
The
new
brain-
based
learning.
New
York,
NY:
W.W:
Norton.