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Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898.

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Page 1: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

Cindy M. Walker & Kevin McLeodUniversity of Wisconsin - Milwaukee

Based upon work supported by the National Science Foundation Grant No. 0314898.

Page 2: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

OverviewWhat is the Milwaukee Mathematics

Partnership (MMP)?What are the goals of the MMP?Where are we at now?How do we measure school-level involvement

in the MMP?Evaluation DesignResultsKey Insights

Page 3: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

What is the MMP?A community-wide collaborative PK-16 effort among

school, university, union, government, business, and community organizations that seeks to substantially improve mathematics achievement for the 100,000 K-12 Milwaukee Public Schools students.

The MMP involves mathematics faculty and mathematics educators in collaboration with PK-12 educators in strengthening district curricula, student assessment measures, and re-designing pre-service and in-service teacher preparation focused on the needs of an urban district.

Core Partners include: (1) UWM; (2) MPS; and (3) MATC

Page 4: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

What are the goals of the MMP?Goal #1: Comprehensive Mathematics

FrameworkA collective vision of deep learning and quality

teaching of challenging mathematics across the Milwaukee Partnership.

Strategies include PK-12 student Learning Targets and Model Performance Assessments, alignment of high school coursework with college expectations, and increased enrollment and success in challenging mathematics courses, including Advanced Placement and International Baccalaureate mathematics courses

Page 5: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898
Page 6: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

What are the goals of the MMP?Goal #2: Distributed Leadership

Institute a distributed mathematics leadership model that engages all partners and is centered on school-based professional learning communities.

Strategies include Math Teacher Leaders, school-based Learning Team, Principal Mathematics Leadership endeavor, and district mathematics leadership.

Page 7: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

What are the goals of the MMP?Goal #3: Teacher Learning Continuum

Build and sustain the capacity of teachers, from initial preparation through induction and professional growth, to understand mathematics deeply and use that knowledge to improve student learning.

Strategies include the IHE Mathematics Network; Design Teams focused on core mathematical preparation for all PK-8 teachers, an elementary mathematics minor, and a secondary mathematics capstone course; teachers on special assignment as Teachers-In-Residence at the university; teacher recruitment; content-focused induction; and school-based professional learning communities.

Page 8: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

What are the goals of the MMP?Goal #4: Student Learning Continuum

Ensure all students, PK-16, have access to, are prepared and supported for, and succeed in challenging mathematics.

Strategies include School Educational Plans, mathematics alignment for the Tutoring and Family Literacy Initiative, and Transitioning to College Mathematics effort

Page 9: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

Where are we at now?The MMP is a mature project, now in its

seventh yearSubstantive funding has shifted from NSF to

the State of WisconsinSpecifically, the state has provided funding for

many schools in MPS to have a fully released Math Teacher Leader (MTL)

Therefore it is important to continually reinforce the claim that school-level involvement in the MMP is a critical factor for promoting student achievement gains

Page 10: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

How do we measure school-level involvement in the MMP?Lack of experimental design, therefore, we

have continually strived to measure variability in participation in MMP activities.

The most current work examined the level of school-level involvement in key MMP-sponsored activities over a four year period

These activities include:Attendance at Math Teacher Leader meetingsParticipation in courses offered at UWM

Page 11: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

MTL meetingsHeld monthly during the school yearFull-day in-service meetingsAttended by approximately 140 MTLs each

month over the course of three meetings (i.e. ≈ 50 per meeting)

Three main strands covered at each meeting: 1. Mathematics Content

(including Mathematical Knowledge for Teaching)2. Leadership3. Assessment

Different content strands covered each year

Page 12: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

UWM in-service courses offeredSeveral courses offered each year for

university credit including:

CourseGrade Level

Credits

Standards Based Mathematics:Exploring Early Number Relationships

K4 - 1 1

Number & Computation: Addition and Subtraction

K - 4 1

Communication and Reasoning (Part I and Part II)

K - 8 1

Standards Based Mathematics: Instructional Strategies

6 - 12 1

Math 278: Probability and Statistics 4 - 8 3

Teacher Narratives as Reflective Practice in Mathematics

K - 12 2

Teacher Leadership in Mathematics K - 12 3

Page 13: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

Evaluation HypothesesMMP school-level involvement expected to

predict student achievement growth, defined as change in percent of students proficient at a school on state mandated test (WKCE), from 2005-2008

MMP school-level involvement expected to predict percent of students at school that are classified as proficient in mathematics in the fall of 2008

Page 14: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

Evaluation DesignEach school was given an MMP-involvement

score that ranged from 0 (no involvement) to 43.65 (highest level of involvement).

These scores were created by summing two scores, one that quantified attendance at MTL meetings and one that quantified staff participation in UWM courses

Page 15: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

Evaluation DesignMTL attendance was expressed as the total

percentage of meetings attended by at least one representative from the school.For example, a school that had sent at least one

person to every MTL meeting over the four years would receive a score of 4.0 because each year they would have received a 1.0, reflecting 100% participation each year

A school that had sent at least one person to 2 out of 9 meetings the first year, 9 out of 9 meetings the second year, 7 out of 9 meetings the third year, and 5 out of 9 meetings the fourth year would receive a score of 2.56 (e.g. 2/9 + 9/9 + 7/9 + 5/9 = 23/9 ≈ 2.56)

Page 16: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

Evaluation DesignCourse enrollment was the sum of: (1) unique teachers

in a school that enrolled in at least one course, (2) the average number of courses taken by those teachers, and (3) the average credits earned by those teachers.For example, a school that had five teachers, two of which

enrolled in two 1-credit courses and three of which enrolled in three 3-credit course would receive a score of 9

(e.g.

)

A school that had one teacher that enrolled in three 3-credit courses would receive a score of 7 (e.g. 1 + 3 + 3 = 7.0)

8.135

69

5

31

5

13

5

25

5

99922

5

333225

Page 17: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

Evaluation DesignAll non-zero MMP-involvement scores were

converted to z-scores to classify schools in the following manner:Schools with z > +1 were classified as having

HIGH involvement with the MMPSchools with -1 < z < +1 were classified as

having MODERATE involvement with the MMPSchools with z < -1.0 were classified as having

LOW involvement with the MMPSchools with an original MMP-involvement

score of zero were classified as having NO involvement with the MMP

Page 18: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

Evaluation DesignStudent proficiency was measured by the state

mandated standardized assessment, the Wisconsin Knowledge and Concepts Examination (WKCE).

Student achievement growth reflected the change in the percent of students classified as proficient in 2008, as compared to 2005.For example, a school with 20% of students

proficient in 2005 and 35% of students proficient in 2008 received a score of 15%

Page 19: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

Evaluation DesignAfter the metrics were compiled, a one-factor

ANOVA was conducted using MMP involvement as the grouping factor and either student proficiency in 2008 or student achievement growth as the dependent variable.

The analysis was conducted using a Welch correction, when considering student achievement growth, as the assumption of homogeneity of variance was found to be violated for the four different groups.

Page 20: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

Evaluation Results: Growth

F 3, 174 = 7.45, p < 0.001

Standard Deviation

Page 21: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

Evaluation Results: Growth

F 3, 59.3 = 5.48, p = 0.002

Mean Growth

Page 22: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

Evaluation Results: 2008 Proficiency

F 3, 194 = 25.14, p < 0.001

Percent Proficient

Page 23: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

Key InsightsIt is imperative that MSP projects:

1. Clearly articulate their core strategies and activities;

2. Document and measure the impact of those strategies, and;

3. Develop evidence that those strategies lead to desired outcomes

We clearly articulated two primary professional development strategies1. Math Teacher Leader meetings, and2. Mathematics content courses for in-service

teachers

Page 24: Cindy M. Walker & Kevin McLeod University of Wisconsin - Milwaukee Based upon work supported by the National Science Foundation Grant No. 0314898

Key InsightsWhile schools were not required to participate, all

were encouraged to take advantage of these professional development activities with the promise that participation would lead to better student outcomes.

Documentation of participation over time and relating those results to student outcomes helped to provide compelling evidence to the district, and to the state, that the MMP has made a positive impact.

This message is being carried forward as critical evidence for sustaining MMP efforts.