Thursday, September 5, 2013
"Teach" Documentary
Please join SLI in tuning in this Friday September 6, 2013 at 8pm to CBS to watch the documentary, "Teach" by Academy Award winning director, Davis Guggenheim. The documentary follows four teachers in the journey to uncover, "What does it take to be a teacher?"
Friday, August 30, 2013
Focused Instruction Process: The Road to Success
Check out this video about how teachers transformed their schools using the Focused Instruction Process, lead by Strategic Learning Initiatives:
The Road to Success
The Road to Success
Thursday, May 16, 2013
SLI Model Recognized by CTU
The Chicago Teachers' Union issued the following press release today:
Parents
and Community to blast CPS’ “turnaround model” at AUSL headquarters as school
closings loom
Group to
release proven alternative can save CPS and taxpayers millions while improving
schools and scores
CHICAGO
– On Thursday,
May 16, parents and community members from the schools slated for
‘Turnaround’ by the Chicago Public Schools (CPS) are going to Chicago Academy
High School/Academy of Urban School Leadership (AUSL) Headquarters, 3400 N.
Austin, at 12:45 p.m. to question why the district uses a program that
causes instability for their children and costs millions for taxpayers is
better than a less expensive, research-proven transformation with the teachers
they know and trust.
In
the past month, four CPS Schools slated for “Turnaround” at the estimated cost
of more than $1 million dollars per campus/per year have voted to ask the CPS
to use an alternative model proven to be highly effective, research based, and costing
only one-fifth as much as AUSL, the most frequently used option. The
turnaround strategy that the four schools are asked CPS to approve is called
the CPS-SLI School Transformation Process. It can be used as an
alternative to an approach used in recent years by AUSL in which the entire
faculty and leadership of a school is terminated and a new staff hired.
It costs approximately $1 million to implement the AUSL approach.
“Research
has demonstrated the qualities that schools need to succeed,” said Jesse
Sharkey, vice president of the Chicago Teacher’s Union. “CPS has already
invested in a transformation plan developed by Strategic Learning Initiatives
(SLI) that embraces that research. It is highly effective, already proven
in CPS schools, and can save an enormous amount of money. We urge
CPS to embrace this option. It will be excellent for the children, their
families, their schools and their neighborhoods.”
CPS
itself – with the help of the Chicago non-profit Strategic Learning Initiatives
(SLI) – developed, funded, and demonstrated a viable alternative to the
CPS-AUSL model during an eight-school, four-year demonstration project, over
2006-2010, with high-poverty, low-performing schools. These scores
demonstrated significant turn around and showed sustained improvement.
One
of these schools, Willa Cather Elementary on Chicago’s west side, was
recognized as CPS’s most improved school out of 473 elementary schools based on
ISAT Composite Score. Cather received national attention when the
US House of Representatives held a “Congressional Hearing on Turnaround
Schools” in May, 2010. The Lead Witness featured the results of Cather and
seven other schools that were part of the CPS-SLI Demonstration Project.
Schools
chief executive Barbara Byrd-Bennett recently visited Willa Cather School
Elementary in Garfield Park. She cited Cather as an example of a
high-performing school that had been chosen to become a “welcoming school” for
some of the 51 schools CPS was closing because of excess capacity.
The
six schools facing CPS-AUSL turnaround for next year are Barton, Carter, Dewey
and O’Keeffe on the South Side and Chalmers and Lewis on the West
Side. The faculties at Barton, Carter, Dewey and Lewis have voted
overwhelmingly use the CPS-Strategic Learning Initiatives rather than doing a
AUSL turnaround plan.
Financially,
the CPS-SLI
model costs just one-fifth of the cost of the CPS-AUSL model and has shown as
good or better results. Additionally, this model provides children with
continuity and stability at school by keeping the teachers who are often like
second parents, especially to young children. It also produces creates more
school leaders and is not disruptive for communities, students and
families. It empowers school staffs to improve instruction and to involve
and engage parents. It requires buy-in to the process from the bottom to
the top of the CPS, from the teachers to the CPS leadership. School staff
become empowered to continuously improve their core processes, from classroom
instruction to parent engagement to the leadership provided by the principal
and leadership team.
For
the cost of one CPS-AUSL school, CPS can fund five CPS-SLI schools. That would
be five high-poverty, low-performing schools which could be leading their own
turnaround strategy, and gaining all the related skills, rather than being
fired and their valuable experience lost.
The
annual cost for the CPS-AUSL model is more than $1 million per school. (Designs
for Change,“ Chicago’s Democratically-Led Elementary Schools Far Out Perform
Chicago ‘Turnaround Schools,’” 2012 page 20. (www.designsforchange.org). For Six Turnaround
schools over three years the cost totals $18 million. The CPS-SLI model
is less than $200,000 a year. For six schools over three years the cost totals
$3.6 million (www.cps.org Board Reports,
2006-08). Over three years, the CPS-SLI model would save the CPS and taxpayers
$14.4 million.
###
Monday, April 15, 2013
Exercise Improves Memory
Did you know that there is a link between exercise and memory? Educators may have noticed a decrease in funding for sports teams, intramural activities and physical education. Perhaps this is related to standardized test scores?
This fascinating article from the NY Times sheds some light on the situation: Getting a Brain Boost through Exercise.
This fascinating article from the NY Times sheds some light on the situation: Getting a Brain Boost through Exercise.
Wednesday, April 10, 2013
Noncognitive Measures
At SLI, we pride ourselves on our commitment to sharing research-based tools and strategies with our clients.
Today we'd like to share a recent post from Education Database Online about noncognitive measures. Author Alan Boyle offers information about alternative assessments and what we might expect to see in the future.
Read more about his research at the following link: Noncognitive Measures: The Academic Trend that Could Change Everything.
Today we'd like to share a recent post from Education Database Online about noncognitive measures. Author Alan Boyle offers information about alternative assessments and what we might expect to see in the future.
Read more about his research at the following link: Noncognitive Measures: The Academic Trend that Could Change Everything.
Wednesday, March 20, 2013
Job Opening - Family Engagement Team Member
Strategic Learning Initiatives, a not for profit education
agency based in Chicago, who provides professional services to schools, is
looking for a Family Engagement Trainer-Facilitator to provide workshops,
modeling, leadership and support to parents/families in schools and
organizations serviced by Strategic Learning Initiatives.
SLI is seeking a facilitator with excellent verbal and
communications skills. The candidate
should have knowledge and skills related to delivering workshops and related
services to families, the ability to work as a team player, skill in the use of
personal computers and related software.
Bilingual Spanish or other second language proficiency is desired. Some
travel is required. A high school diploma and one year of experience directly
related to the duties and responsibilities is required.
Please email resume and a short cover letter indicating your
qualifications and minimum salary requirements by March 18, 2013 to kmorris@strategiclearning.org
No resumes will be considered without a salary history/minimum salary
requirements
You may learn more
about SLI at www.strategiclearning.org.
Tuesday, March 19, 2013
NOW HIRING
Seeking: Professional Development
Facilitators
Strategic
Learning Initiatives is a not for profit educational consulting agency based in
Chicago. We provide professional development to school staff, school
administration and parents. We are
looking for professional development facilitators to assist in providing
educational workshops, coaching, modeling and lesson design in current best
practice educational strategies and processes that enhance student achievement.
Candidates
must have excellent verbal and communication skills and the ability to work as
a team player. They must have a minimum
of a Bachelors Degree in Education, five to seven years of classroom
teaching/school administration experience, and experience in the design and
delivery of workshops for educators. Some travel within Chicago, downstate
Illinois and out of state will be required.
This is a part time position of approximately 8-12 days per month.
Please
email a resume and short cover letter indicating your qualifications, salary
history and minimum salary requirements to kmorris@strategiclearning.org. No applications will be accepted without a
salary history and minimum salary requirements.
Learn
more about Strategic Learning Initiatives at www.strategiclearning.org
Thursday, January 17, 2013
Our Results: AIR Report on FIP
Please read about our success via a report from the American Institute on Research: Validating the Impact of Strategic Learning Initiatives' Focused Instruction Process (FIP) Model
by: Steven Leinwand and Sarah Edwards, 2009
Introduction
This
report arises from discussions between John Simmons, President of Strategic
Learning Initiatives (SLI) and the American Institutes for Research (AIR) to
provide an external validation of the impact data in ten Chicago Public Schools
elementary schools that participated in SLI’s Focused Instruction Process
between 2006 and 2008.
AIR
agreed to complete two tasks:
The results
that SLI has achieved, and that AIR has validated, are very impressive and
suggest that well before decisions are made to reconstitute schools under the
mandates of NCLB, school districts would be wise to consider far less drastic,
but clearly powerful, interventions such as the Focused Instruction Process.
Findings
1. How well did the 10 FIP schools do during the first two years of intervention when compared with theChicago city average?
2. How well did the 10 FIP schools do when compared with
a set of matching schools?
Introduction
- Rerun and validate the ISAT-Reading data for the 10 FIP schools; and
- Compare the ISAT scores between the 10 FIP schools and a matching set of 10 non-FIP schools.
1. How well did the 10 FIP schools do during the first two years of intervention when compared with the
Figure 1
shows that for the two-year period from 2006 to 2008 all but two of the 10 FIP
schools had ISAT Reading gains in the percent of students at or above
proficient that exceeded the Chicago city average and that as a group, the
gains in the FIP schools were nearly twice the city average (11.4 percentage
points vs. 6.3 percentage points).
Figure 1
Two-Year
Gains in Percent of Students Meeting/Exceeding Reading Proficiency for 10 FIP Schools During
FIP (2006-08)
School
|
Gains
|
Cather
|
16.1
|
Faraday
|
14.2
|
Goldblatt
|
10.8
|
Morton
|
2.1
|
Tilton
|
14.2
|
18.7
|
|
Castellanos
|
6.0
|
Finkl
|
15.3
|
8.3
|
|
Kanoon
|
8.5
|
10 FIP Schools
|
11.4
|
6.3
|
Figure 2
shows the annual average gains in the FIP schools during the two-year period
(2006-2008) during which the intervention was in place when compared with the
annual average gains for the four-year period (2001-2005) prior to the
intervention. Once again, the gains made during the period of the intervention
are impressive relative to the gains prior to the invention and relative to
non-FIP schools.
Figure 2
Annual
Average Gains in Percent of Students Meeting/Exceeding Reading Proficiency Before (2001-2005) and During
(2006-2008) the Intervention
Before FIP (2001-2005)
|
During FIP (2006-2008)
|
|
5 Area
7 FIP schools
|
0.8
|
5.7
|
5 Area
10 FIP schools
|
3.6
|
5.7
|
10 FIP
schools
|
2.2
|
5.7
|
Non-FIP
schools
|
2.1
|
3.2
|
AIR asked SLI to identity a set of ten matching
schools to the ten FIP schools. SLI used the following process to make these
matches:
1. Data from publicly available data bases fromChicago Public Schools
and Illinois State Department of Education was extracted for the 10 FIP schools
and all other elementary schools in Chicago ,
Illinois . This data included:
a. Percent low income as indicated by participation in free or reduced price lunch program.
b. Percent of enrolled students who were identified as being in any of six specific racial/ethnic groups: White, Black, American Indian, Asian, Hispanic, Multi-Racial.
c. ISAT Percent Meeting or Exceeding Proficiency inReading for grade level in
the years 2001-2008. It should be noted
that standards of proficiency were altered between academic years ending in
2005 and 2006.
d. From the ISAT data, Average Annual Gains/Losses in Percent Proficient were calculated for the 2001 to 2005 (4 year) difference and separately for the 2006-2008 (2 year) period.
2. A computer program was written to initially screen for matches to the 10 FIP schools. The program ignored a criterion that was originally considered: No consideration was given to whether the schools matched were in the same city neighborhood (“Area”).
3. The program initially searched for schools that had a Low Income Percent within 1.0 percent of the Low Income Percent of the FIP school to which they were to be matched. In some cases, this resulted in short list of schools which would be difficult to match to the FIP school using the additional criteria to be applied. Accordingly, a second run of the program was performed to select schools that would match within 2.0 percent of the Low Income Percent of the FIP schools. This resulted in a longer list. In subsequent matching, preference was given to schools that appeared on the “within 1.0 percent” match list.
4. Using the schools that matched on the Low Income criteria, a statistic designated as “stress” was calculated consisting of the sum of squared differences in racial/ethnic percentages between the FIP school and each potential matching school.
5. The list of matching schools for each of FIP schools was sorted low to high on this statistic. The lower the “stress” statistic, the closer the match on racial/ethnic composition.
6. Further matching was performed manually with the following criteria:
a. Percent Meeting or Exceeding Proficiency in 2005 was roughly equal in FIP school and matched school. This criterion was applied because improvement due to interventions will depend upon starting point prior to the intervention.
b.Average Annual Percent Gain/Loss for the period 2001 to 2005, prior to FIP intervention, was roughly equal.
7. Finally, some schools which would otherwise be considered as possible matches were excluded because they had participated in other Strategic Learning Initiatives programs.
1. Data from publicly available data bases from
a. Percent low income as indicated by participation in free or reduced price lunch program.
b. Percent of enrolled students who were identified as being in any of six specific racial/ethnic groups: White, Black, American Indian, Asian, Hispanic, Multi-Racial.
c. ISAT Percent Meeting or Exceeding Proficiency in
d. From the ISAT data, Average Annual Gains/Losses in Percent Proficient were calculated for the 2001 to 2005 (4 year) difference and separately for the 2006-2008 (2 year) period.
2. A computer program was written to initially screen for matches to the 10 FIP schools. The program ignored a criterion that was originally considered: No consideration was given to whether the schools matched were in the same city neighborhood (“Area”).
3. The program initially searched for schools that had a Low Income Percent within 1.0 percent of the Low Income Percent of the FIP school to which they were to be matched. In some cases, this resulted in short list of schools which would be difficult to match to the FIP school using the additional criteria to be applied. Accordingly, a second run of the program was performed to select schools that would match within 2.0 percent of the Low Income Percent of the FIP schools. This resulted in a longer list. In subsequent matching, preference was given to schools that appeared on the “within 1.0 percent” match list.
4. Using the schools that matched on the Low Income criteria, a statistic designated as “stress” was calculated consisting of the sum of squared differences in racial/ethnic percentages between the FIP school and each potential matching school.
5. The list of matching schools for each of FIP schools was sorted low to high on this statistic. The lower the “stress” statistic, the closer the match on racial/ethnic composition.
6. Further matching was performed manually with the following criteria:
a. Percent Meeting or Exceeding Proficiency in 2005 was roughly equal in FIP school and matched school. This criterion was applied because improvement due to interventions will depend upon starting point prior to the intervention.
b.Average Annual Percent Gain/Loss for the period 2001 to 2005, prior to FIP intervention, was roughly equal.
7. Finally, some schools which would otherwise be considered as possible matches were excluded because they had participated in other Strategic Learning Initiatives programs.
Figure 3 shows the results of this matched pair
analysis of FIP vs. non-FIP schools prior to and during the intervention. As would be expected given the selection
process, before the intervention there is a very small difference in the
average annual increase in the percent of students meeting or exceeding reading
proficiency between the FIP and non-FIP schools (2.24 percentage points vs.
2.45 percentage points respectively for the period 2001-2005). However, during the intervention there is a
significant difference in the average annual increase – 5.71 percentage points
for the FIP schools vs. 1.14 percentage points for the non-FIP schools – for
the period 2006-2008. (See Appendix,
Tables 1, 2, and 3 for summary statistics and p-values for the t tests.) Before the intervention, the mean difference
in the average annual increase of percent of students meeting or exceeding
reading proficiency between matched FIP and non-FIP schools was -0.21. The mean difference in average annual
increase between matched FIP and non-FIP schools during the intervention (4.57)
was significantly greater. (See
Appendix, Tables 4 and 5 for summary statistics and p-value for the t-test.)
Figure 3
Average Annual Increases and Differences in Test Scores
for Matched Pair FIP and Non-FIP Schools Before and During FIP
Pair
|
Difference
in Average Annual Increase in Matched FIP and
|
Difference
in Average Annual Increase in Matched FIP and
|
||||||
1
|
CATHER
|
DEPRIEST
|
2.78
|
2.90
|
8.05
|
2.40
|
-0.13
|
5.65
|
2
|
FARADAY
|
O'TOOLE
|
1.25
|
2.23
|
7.10
|
-1.40
|
-0.98
|
8.50
|
3
|
GOLDBLATT
|
HERZL
|
-0.13
|
0.45
|
5.40
|
3.70
|
-0.58
|
1.70
|
4
|
MORTON
|
O'KEEFFE
|
0.10
|
0.05
|
1.05
|
0.25
|
0.05
|
0.80
|
5
|
TILTON
|
OWENS
|
0.20
|
-0.93
|
7.10
|
1.65
|
1.13
|
5.45
|
6
|
LARA
|
2.78
|
2.45
|
9.35
|
2.50
|
0.33
|
6.85
|
|
7
|
CASTELLANOS
|
COOPER
|
7.30
|
3.65
|
3.00
|
-0.55
|
3.65
|
3.55
|
8
|
FINKL
|
STOWE
|
3.15
|
4.33
|
7.65
|
2.10
|
-1.18
|
5.55
|
9
|
MCCORMICK
|
2.90
|
4.55
|
4.15
|
-2.15
|
-1.65
|
6.30
|
|
10
|
KANOON
|
WHITNEY
|
2.08
|
4.85
|
4.25
|
2.90
|
-2.78
|
1.35
|
All FIP schools
|
Matched non-FIP schools
|
2.24
|
2.45
|
5.71
|
1.14
|
-0.21
|
4.57
|
Figure 4
shows the average change in the percent of students meeting or exceeding
reading proficiency between each year in the 10 FIP schools and the 10 matched
non-FIP schools for the entire 2001-2008 period and reveals graphically the
apparent impact of the FIP intervention.
Figure 4
Note: The test format changed significantly from
2005 to 2006 so the 2005 to 2006 test score change is not included
Conclusion
It is
clear, on the basis of the ISAT Reading scores for the percent of students
meeting or exceeding proficiency in ten Chicago elementary schools for the
period 2001-2008, that the Focused Instruction Process intervention has had a
positive and significant impact on student achievement in the cohort of ten
schools that participated in the FIP model from 2006 to 2008. Whether compared to pre-intervention
achievement, or to the entire set of Chicago
elementary schools, or to a carefully selected set of matched schools, the data
suggest that FIP has resulted in gains that are very unlikely to have occurred without
the intervention.
APPENDIX
Table
1: Mean Average Annual Increase in Scores Before and During FIP
for 10 FIP Schools
Variable
|
N
|
Mean
|
Std
Dev
|
Minimum
|
Maximum
|
Average annual increase
before FIP (2001-2005)
|
10
|
2.24
|
2.18
|
-0.13
|
7.30
|
Average annual increase
during FIP (2006-2008)
|
10
|
5.71
|
2.58
|
1.05
|
9.35
|
Table
2: Mean Average Annual Increase in Scores Before and During FIP
for 10
Matched Non-FIP Schools
Variable
|
N
|
Mean
|
Std
Dev
|
Minimum
|
Maximum
|
Average annual increase
before FIP (2001-2005)
|
10
|
2.45
|
2.01
|
-0.93
|
4.85
|
Average annual increase
during FIP (2006-2008)
|
10
|
1.14
|
1.98
|
-2.15
|
3.70
|
Table 3:
t-test for Mean Average Annual Increase in Scores Before and During FIP
for 10 FIP Schools
and 10 Matched Non-FIP Schools
Statistics
|
|||||||||||
Variable
|
FIP
|
N
|
Lower
CL
|
Mean
|
Upper
CL
|
Lower
CL
|
Std Dev
|
Upper
CL
|
Std Err
|
Minimum
|
Maximum
|
Mean
|
Mean
|
Std
Dev
|
Std
Dev
|
||||||||
beforeave
|
0
|
10
|
1.01
|
2.45
|
3.89
|
1.39
|
2.01
|
3.68
|
0.64
|
-0.93
|
4.85
|
beforeave
|
1
|
10
|
0.68
|
2.24
|
3.80
|
1.50
|
2.18
|
3.98
|
0.69
|
-0.13
|
7.30
|
beforeave
|
Diff (1-2)
|
-1.76
|
0.21
|
2.18
|
1.59
|
2.10
|
3.10
|
0.94
|
|||
afterave
|
0
|
10
|
-0.28
|
1.14
|
2.55
|
1.36
|
1.98
|
3.61
|
0.63
|
-2.15
|
3.70
|
afterave
|
1
|
10
|
3.86
|
5.71
|
7.56
|
1.78
|
2.58
|
4.72
|
0.82
|
1.05
|
9.35
|
afterave
|
Diff (1-2)
|
-6.73
|
-4.57
|
-2.41
|
1.74
|
2.30
|
3.40
|
1.03
|
T-Tests
|
|||||
Variable
|
Method
|
Variances
|
DF
|
t Value
|
Pr > |t|
|
beforeave
|
Pooled
|
Equal
|
18
|
0.23
|
0.8235
|
afterave
|
Pooled
|
Equal
|
18
|
-4.44
|
0.0003
|
Table 4:
Mean Difference in Average Annual Increase
in
Matched Pair FIP and Non-FIP Schools Before and During FIP
Variable
|
N
|
Mean
|
Std Dev
|
Minimum
|
Maximum
|
Difference in Average Annual Increase in Matched
FIP and
|
10
|
-0.21
|
1.74
|
-2.78
|
3.65
|
Difference in Average Annual Increase in Matched
FIP and
|
10
|
4.57
|
2.59
|
0.80
|
8.50
|
Table 5:
Paired t-test for Mean Difference in Average Annual Increase
in
Matched Pair FIP and Non-FIP Schools Before and During FIP
Statistics
|
||||||||||
Difference
|
N
|
Lower
CL
|
Mean
|
Upper
CL
|
Lower
CL
|
Std Dev
|
Upper
CL
|
Std Err
|
Minimum
|
Maximum
|
Mean
|
Mean
|
Std
Dev
|
Std
Dev
|
|||||||
afterdiff
- beforediff
|
10
|
2.56
|
4.78
|
7.01
|
2.14
|
3.11
|
5.67
|
0.98
|
-0.10
|
9.48
|
T-Tests
|
|||
Difference
|
DF
|
t Value
|
Pr > |t|
|
afterdiff
- beforediff
|
9
|
4.87
|
0.0009
|
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