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Milwaukee Mathematics Partnership

This report presents the findings of the evaluation of the Milwaukee Mathematics Partnership's impact on student achievement, classroom practice, teacher involvement, and school buy-in. The evaluation also examines the role of distributed leadership and learning teams in the partnership. The results provide valuable insights for improving the effectiveness of the partnership.

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Milwaukee Mathematics Partnership

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  1. Milwaukee Mathematics Partnership Program Evaluation Year 5 Results Carl Hanssen Hanssen Consulting, LLC Cindy Walker University of Wisconsin-Milwaukee October 2008 MTL Meeting The Milwaukee Mathematics Partnership (MMP) is supported with funding from the National Science Foundation.

  2. Evaluation Goals • Help the MMP better serve its constituents and improve its effectiveness • Serve the broader mathematics education community through documentation and dissemination of MMP activities

  3. Student Achievement Distal Outcomes Classroom Practice Teacher Content & Pedagogical Knowledge Proximal Outcomes Teacher Involvement Learning Team Effort School Buy-in MMP Activities New Courses Math Faculty Involvement District Buy-in UWM Buy-In MATC Buy-In MPA Ownership MMP Evaluation Logic Model

  4. Agenda • Student Achievement • Learning Teams • Distributed Leadership • Conclusions • Next Steps

  5. 1. MMP Impact on Student Achievement Student Achievement Classroom Practice Teacher Involvement Learning Team Effort School Buy-in

  6. MMP Impact on 2006 Student Achievement Are student achievement gains greater in schools that have more fully embraced MMP principles?

  7. Data Collection Timeline Sep 04 2004-2005 School Year MMP Online Survey Spring 2005 Sep 05 WKCE Fall 2005 2005-2006 School Year MMP Online Survey Spring 2006 Sep 06 WKCE Fall 2006 2006-2007 School Year MMP Online Survey Spring 2007 Sep 07 WKCE Fall 2007 2007-2008 School Year MMP Online Survey Spring 2008 Sep 08

  8. Two cohorts of students • Cohort A • Approximately 3,000 students • Same school in grades 3-5 from 2005-2007 • Cohort B • Approximately 2,800 students • Same school in grades6-8 from 2005-2007

  9. HLM Analysis Consistent curriculum + Teachers working together + PD perceived as valuable Math Focus Predicts Math Focus % of students proficient Predicts Used as school-level predictorfor HLM analysis Math Focus

  10. HLM Results • Math focus was a predictor of initial math achievement scores AND of student learning rates • If your school scores 1 point higher on math focus, you can expect • Cohort A students to start 15 points higher and grow at a rate 7 points higher • Cohort B students to start 18 points higher and grow at a rate 7 points higher

  11. HLM Results School X: math focus score 3.5 School Y: math focus score 2.5 Growth would be 30 + 14 points Score Expected growth may be 30 pts 15-18 pt gap to start Yr 1 Yr 2 Yr 3 Time

  12. 2. Learning Teams Student Achievement Classroom Practice Teacher Involvement Distributed Leadership Learning Team Effort School Buy-in

  13. Twelve Case Study Schools • Diverse set of schools • Grade levels • 9 schools with K-5 students • 6 schools with 6-8 students • 2 high schools 10-12 • Diverse demographics • Minority students (30-90%) • Special education (11-32%) • Free/Reduced lunch (41-95%)

  14. Case Study Data Collection • 22 learning team or math department meeting observations • 42 classroom observations • MKT Assessment for math teachers • SNA Survey for mathteachers and administrators

  15. Key Trends from Learning Teams • Overall, meetings tended to focus more on ‘administration’ than ‘learning’ though higher performing teams retain more of an emphasis on learning • Contrast between LT meetings and math department meetings • Math meetings more focused • Math departments less team oriented • Transition to released MTL model • Seamless transitions • Identification of replacement teacher • No release

  16. Less focus on administration Positional authority is less important Multiple views are represented and heard Multiple segments of the school are represented Written agenda, note taker, facilitator Explicit action items Participants have high knowledge and skill levels Focus on administration Principal does all the talking A few individuals dominate the discussion No agenda or team is easily distracted from the agenda Little follow-through on assignments No clear actions Characteristics of High &Low Rated Learning Teams—Team Functioning High Low

  17. Consistent curriculum Math is addressed alongside and in combination with other subjects Coherent within grades and across grades Math is discussed irrespective of presence of MTL Reference to MMP work courses including formative assessment, descriptive feedback, benchmarks Teachers operate autonomously Math not addressed at the meeting No clear math leader—MTL may be unsure of role Confusion about the MMP and CMF Characteristics of High & Low RatedLearning Teams—MMP Issues High Low

  18. 3. Distributed Leadership • Teachers and administrators in each school were asked to name individuals with whom they communicated about mathematics • This is a key indicator of distributed leadership

  19. Mathematics Distributed Leadership Continuum High Low Loose Network MTL Not Central Few Links to MTL MTS Outside Few Links to MTS Leadership responsibility of few Tight Network MTL Central Many Links to MTL MTS Inside Many Links to MTS Leadership is shared among many

  20. Low Student Achievement: 2007: 66% Proficient 3-year trend: -9%

  21. Medium Student Achievement: 2007: 47% Proficient 3-year trend: +15%

  22. High Student Achievement: 2007: 53% Proficient 3-year trend: +3%

  23. Evolution of Distributed Leadership • MTL is active within the school • Teachers begin extensive collaboration • MTL & Teacher collaboration extends outside school (MTS may become heavily involved in the school) • MTL is used primarily as a resource • Teachers assume math leadership

  24. 4. Overall Conclusions • There is support for the argument that schools that have more fully adopted MMP principles are demonstrating stronger results. • There is tremendous variability in MMPadoption and progress across the district—though MMP impactappears more pervasive.

  25. Overall Conclusions • Important considerations for sustaining MMP work • High levels of math focus have been shown to be related to higher student achievement. What are the indicators of math focus? • Creating Distributed Leadership in a school takes time—and communication is criticalbut helps promote math focus

  26. Overall Conclusions • Important considerations for sustaining MMP work • MTL role may be shifting from focal point to facilitator—we see a shift in the perception of who is responsible for helping the school focus on improving mathematics teaching and learning • MTL release model presentsbenefits and challenges for sustaining MMP work

  27. 5. Evaluation 2008-09 • MMP Online survey in May 2009 • Continue HLM analysis for student achievement • 25-30 case study schools to participate over 3 years—Sign up now! • LT/Math meeting Observations • SNA • Focus on different MTL release models • Goal to implement SNA in mostschools across the district

  28. Focus Question • What message will you be taking back about… • Your ongoing work with teachers to improve math in your school? • How your learning team can bemost effective?

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