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Milwaukee Mathematics PartnershipUsing Social Network Analysis to Understand Links Between TeacherLeader Roles and Student Achievement
Carl HanssenHanssen Consulting, LLC
DeAnn HuinkerUniversity of Wisconsin-Milwaukee
MSP Learning Network ConferenceWashington, DCJanuary 2009
The Milwaukee Mathematics Partnership (MMP) is supported with funding from the National Science Foundation.
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Agenda
Context
Methods
Review Sociograms
Results
Conclusions & Discussion
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MMP Goals
Comprehensive mathematics framework
Distributed leadership
Teacher learning continuum
Student learning continuum
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MMP Status
Currently in 6th year of funding under original award
Received a Phase II MSP award
Sustaining funding for the MTLposition received from Governor of Wisconsin
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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
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MMP Evaluation Logic ModelStudent
Achievement
Teacher Content& Pedagogical
Knowledge
Math FacultyInvolvement
Learning TeamEffort
SchoolBuy-in
TeacherInvolvement
NewCourses
DistrictBuy-in
MPA Ownership
MATCBuy-In
UWMBuy-In
ClassroomPractice
MMPActivities
ProximalOutcomes
DistalOutcomes
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Focus for this study
StudentAchievement
Learning TeamEfforts
SchoolBuy-in
TeacherInvolvement
ClassroomPractice
DistributedLeadership
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Method
Data collected from 29 schools from 2006-2008
Purposefully selected for diversity in
School Type Geography Student Achievement MMP Involvement
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SNA Survey
Open survey approach
Teachers & administrators Provide names of individuals with whom you
communicated with about mathematics Demographics
Other data School staff lists Student achievement results
in terms of % proficient on WKCE
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Analysis
Maps identify
MTL MTS or Teachers Principal Literacy Coach Others in school Others outside
Statistics
Network density (%)
In-Degree(z-score)
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School n Total Named Network density
Density in school
MTL Role--In Degree
MTS Role--In Degree
I 34 110 2.6% 7.0% 12.8 0.9
Average 23 66 4.8% 10.7% 16.5 3.4 SD 9.3 24 1.7% 2.5% 6.4 4.1 Median 23 64 4.1% 11.0% 15.0 1.4
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School n Total Named
Network density
Density in school
MTL Role--In Degree
MTS Role--In Degree
L 10 45 4.2% 8.0% 12.5 13.1
Average 23 66 4.8% 10.7% 16.5 3.4 SD 9.3 24 1.7% 2.5% 6.4 4.1 Median 23 64 4.1% 11.0% 15.0 1.4
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MMP Distributed Leadership Continuum
Low High
1 2 3 4 5Tight Network
MTL CentralMany Links to MTL
MTS InsideMany Links to MTS
Leadership is shared among many
Loose NetworkMTL Not CentralFew Links to MTLMTS OutsideFew Links to MTSLeadership
responsibility of few
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Sociograms Review
Work in groups of 2-3
Evaluate the sociogram for distributed leadership characteristics (10 minutes)
Make a judgment about student achievement in that school
Report back
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A
Student Achievement:2007: 66% Proficient3-year trend: -9%
School n Total Named
Network density
Density in school
MTL Role--In Degree
MTS Role--In Degree
K 11 57 3.8% 13.7% 7.6 0.4
Average 23 66 4.8% 10.7% 16.5 3.4 SD 9.3 24 1.7% 2.5% 6.4 4.1 Median 23 64 4.1% 11.0% 15.0 1.4
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B
Student Achievement:2007: 47% Proficient3-year trend: +15%
School n Total Named Network density
Density in school
MTL Role--In Degree
MTS Role--In Degree
A 22 38 7.8% 12.7% 28.4 0.7
Average 23 66 4.8% 10.7% 16.5 3.4 SD 9.3 24 1.7% 2.5% 6.4 4.1 Median 23 64 4.1% 11.0% 15.0 1.4
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C
Student Achievement:2007: 53% Proficient3-year trend: +3%
School n Total Named Network density
Density in school
MTL Role--In Degree
MTS Role--In Degree
G 32 79 5.0% 12.1% 16.3 5.4
Average 23 66 4.8% 10.7% 16.5 3.4 SD 9.3 24 1.7% 2.5% 6.4 4.1 Median 23 64 4.1% 11.0% 15.0 1.4
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Hypotheses
The Math Teacher Leader and Math Teaching Specialist roles within a school are related to student achievement.
The strength of the communication network, as measured by network density, is related to student achievement.
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MTL Role & Student Achievement
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MTS Role & Student Achievement
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Network Density & Student Achievement
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MTL Role & Network Density
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Evolution of Distributed Leadership
1. MTL is active within the school
2. Teachers begin extensive collaboration
3. MTL & Teacher collaboration extends outside school (MTS may become heavily involved in the school)
4. MTL is used primarily as a resource
5. Teachers assume math leadership
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Discussion
What are the implications of distributed leadership for teacher professional development?
How can Social Network Analysis support planning for, and measurement of, pd efforts?
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Next Steps
Phase II Work More schools Longitudinal Comparison of released and non-
released MTL models
Recommendations?