Presentation by C Browder at the Colloquium "Understanding Language Learning Among Students with Limited or Interrupted Formal Education (SLIFE )." AAAL 2014 Convention, Portland, OR
Do High School English Learners’ Previous Formal Schooling Backgrounds Affect Their English Proficiency Gains?
1. Understanding
Language
Learning
Among
Students
with
Limited
or
Interrupted
Formal
Educa:on
(SLIFE)
AAAL
2014
Colloquium
March
22,
2014
Organizer:
Andrea
DeCapua
Discussant:
Elaine
Tarone
2. Presenter
Christopher
Browder
Do
High
School
English
Learners’
Previous
Formal
Schooling
Backgrounds
Affect
Their
English
Proficiency
Gains?
3. Research
quesHon:
Do
high
school
English
learners’
(EL)
previous
formal
schooling
backgrounds
affect
their
English
proficiency
gains?
Chris
Browder
[copyright
2014]
3
4. Why
is
it
important?
• Policy
implica:ons
– No
Child
LeY
Behind
&
Race
to
the
Top
• schools
and
teachers
held
accountable
for
EL
students’
rate
of
English
learning
(U.S.
Congress,
2002;
Duran,
2008,
New
York
State
Educa:on
Department,
2014)
4
5. Why
is
it
important?
• Policy
implica:ons
– Need
to
accurately
iden:fy
students
for
interven:ons
5
6. Why
is
it
important?
• Research
– Lack
of
research
(DeCapua,
Smathers,
&
Tang,
2010;
Tarone,
Bigelow,
&
Hansen,
2009;
Tarone,
2010;
Zehr,
2009)
6
7. Sample:
• 199
high
school
students
classified
as
EL
– diverse
popula:on
• racially/ethnically
• socio-‐economically
– school
context
• well-‐resourced
• suburban/semi-‐urban
• east-‐coast
school
district
[See
supplementary
materials
for
more
demographic
data
and
preliminary
analyses.]
7
8. Methods:
• Quan:tatve:
– bivariate
and
mul:variate
regression
analyses
– student
survey
and
school
system
data
8
9. Dependent
variable:
English
gains
• English
as
a
second
language
acquisi:on
(2012
WIDA)
–
(2011
LAS)
=
gain
2011-‐12
(CTB/McGraw-‐Hill
LLC,
2007;
Kenyon,
2006;
WIDA
Consor:um:
World
Class
Instruc:onal
Design
and
Assessment,
2007)
9
10. Key
independent
variable:
students’
previous
formal
schooling
backgrounds
How to operationalize previous formal schooling?
10
11. TIME
SPENT
IN
SCHOOL
(SCHOOLING)
as
an
indicator
of
previous
formal
schooling
• Interrupted
formal
educaHon
(NYSDOE)
– 2
years
or
more
of
missing
schooling
on
arrival
dichotomous
variable
(1
=
yes,
0
=
no)
SIFE:
student
with
interrupted
formal
educaHon
(New
York
State
Department
of
Educa:on,
2011)
11
12. THE
PRODUCTS
OF
SCHOOLING
(EDUCATION)
as
an
indicator
of
previous
formal
schooling
• Below-‐grade-‐level
math
skills
on
arrival
– dichotomous
variable
(1
=
below,
0
=
on
or
above)
Example)
incoming
9th
grader
no
pre-‐algebra
skills
12
13. THE
PRODUCTS
OF
SCHOOLING
(EDUCATION)
as
an
indicator
of
previous
formal
schooling
• self-‐reported
L1
literacy
on
arrival
from
student
survey
in
2012
– L1
literacy
con:nuous
variable
(1
to
4
with
1
being
lowest)
– Low
L1
literacy
(scores
of
2
or
lower)
13
14. Other
independent
variables
being
controlled
for
• ESOL
classes:
– number
of
sheltered
ESOL
classes
the
student
took
in
2011-‐2012
school
year
14
15. How
common
was
limited
formal
schooling
for
ELs?
Similar
to
other
es:mates
(DeCapua,
Smathers,
&
Tang,
2007;
Fleischman
&
Hopstock,
1993;
Ruiz-‐de-‐Valasco
&
Fix,
2000;
Walsh,
1999;
Zehr,
2009)
15
16. Did
SIFE
have
lower
English
proficiency
in
2012?
16
a
strong
and
significant
negaHve
associaHon
17. Do
SIFE
learn
English
more
slowly?
17
no
significant
associaHon
18. Does
arriving
with
below-‐grade-‐level
math
skills
predict
slower
English
learning?
18
a
significant
negaHve
associaHon
stronger
when
controlling
for
ESOL
19. Does
arriving
with
low
L1
literacy
predict
slower
English
learning?
19
a
significant
negaHve
associaHon
sHll
significant
when
controlling
for
ESOL
20. Is
L1
literacy
a
product
of
schooling?
20
a
significant
posiHve
associaHon
21. Are
math
skills
a
product
of
schooling?
21
a
strong
and
significant
negaHve
associaHon
22. FINDINGS
• The
prevalence
of
limited
formal
schooling
– Nearly
14%
of
the
students
had
at
least
two
fewer
years
of
grade-‐rela:ve
schooling
and
would
be
classified
as
SIFE
in
New
York
State.
– Nearly
59%
had
arrived
with
below-‐grade-‐level
math
skills.
– Nearly
20%
reported
low
L1
literacy
skills.
22
23. FINDINGS
• English
proficiency
aWainment
– SIFE
tended
to
have
lower
English
proficiency
later
because
they
had
arrived
with
lower
English
proficiency
not
because
of
slower
learning.
23
24. FINDINGS
• The
effect
of
Hme
spent
in
school
(formal
schooling)
– Students’
grade-‐rela:ve
years
of
schooling
(SIFE)
not
significantly
associated
with
English
gains
24
25. FINDINGS
• The
effect
of
arriving
with
lower
academic
skills?
– Significantly
associated
with
lower
English
gains.
• Arriving
with
below-‐grade-‐level
math
skills
• Arriving
with
lower
L1
literacy
25
26. APPLICATIONS
• Consider
students’…
– Math
skills
– L1
literacy
skills
– as
more
reliable
predictors
of
their
rate
of
English
learning
than
grades
completed
in
school
before
coming
to
the
U.S.
– to
measure
the
adequacy
of
a
student’s
previous
formal
schooling
26
27. APPLICATIONS
• ELs
should
be
given
math
and
L1
literacy
tests
during
intake.
• Newcomer
programs
and
other
services
for
SIFE
should
consider
more
than
just
missing
years
of
schooling
as
eligibility.
27
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