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Christopher Thorn
University of Wisconsin-Madison
 Value-Added Research Center
Core challenges
 Systems designed to manage building
  resources and student teacher ratios –
  not teaching and learning
 Multiplicity of funding streams has
  generated many parallel – non-
  connected systems
 New analytical demands rapidly
  exceeded system capacity and new
  demands increasing in scale and speed
Logic of performance
systems
   Inputs          Activities               Outputs         Outcomes
                 Design Program           Public &
                       Goals             Educators
   Project           Measures                             Educator Effort
                                          Receive
   Funds             Incentives
                                        Information
                                            Goals
                   Deliver New            Measures
   Project                                Incentives
    Staff           Program                                 Changes in
                                                            Instruction
                                         Educator
                    Measure             Participation
 Top Mgmt &        Performance
     Key                                                     Improved
 Stakeholder                           Leadership &           Student
   Support                               Educators         Achievement.
                     Report
                                          Receive
                    Outcomes
                                        Appropriate
                                        Recognition


               Context            Other District
                                                        Opportunities
                                  Programs &
                                                        & Resources
                                   Initiatives
Core data system concerns
 Data quality and quantity adequate
 Timeliness of results – both formative
  feedback along the way and summative
  reports on performance
 Instrumentation for collecting non-test
  score measures
 Ability to federate data from multiple
  sources
Technology support
broadens
 Original concerns about creating valid
  performance calculations for payout
 Out-year tasks are reducing burden of
  observation, logs, and other data
  streams
 Challenge of creating systems to track
  implementation of interventions at all
  levels to enhance evaluation capabilities
Where we are working
 Connect resources to outcomes
 Track resource expenditures down to
  school, classroom, and student
 Value Added Analysis
 Connect data to operational decisions
  and improvement planning
 Build new measures into KPI
  frameworks
From Small Measures
To Large
Bottom Line for Tech
Strategy
 Moving to performance compensation
  changes the game
 Evaluation of programs, practices,
  teacher prep partners, etc. becomes a
  core business function
 Culture of evidence can grow from focus
  on productivity
 Substantial new demands on socio-
  technical systems
Inventory
 SIS (granularity and S-T links)
 DW (refresh, reports, and dashboards)
 IMS/LMS
 HR/Finance
 PD
 Platforms in schools/models of use
 Network (backbone & building deployed)
Discussion & Questions

Chris Thorn
University of Wisconsin-Madison
cathorn@wisc.edu
608-263-2709

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2010 eagle co technology presentation

  • 1. Christopher Thorn University of Wisconsin-Madison Value-Added Research Center
  • 2. Core challenges  Systems designed to manage building resources and student teacher ratios – not teaching and learning  Multiplicity of funding streams has generated many parallel – non- connected systems  New analytical demands rapidly exceeded system capacity and new demands increasing in scale and speed
  • 3. Logic of performance systems Inputs Activities Outputs Outcomes Design Program Public & Goals Educators Project Measures Educator Effort Receive Funds Incentives Information Goals Deliver New Measures Project Incentives Staff Program Changes in Instruction Educator Measure Participation Top Mgmt & Performance Key Improved Stakeholder Leadership & Student Support Educators Achievement. Report Receive Outcomes Appropriate Recognition Context Other District Opportunities Programs & & Resources Initiatives
  • 4. Core data system concerns  Data quality and quantity adequate  Timeliness of results – both formative feedback along the way and summative reports on performance  Instrumentation for collecting non-test score measures  Ability to federate data from multiple sources
  • 5. Technology support broadens  Original concerns about creating valid performance calculations for payout  Out-year tasks are reducing burden of observation, logs, and other data streams  Challenge of creating systems to track implementation of interventions at all levels to enhance evaluation capabilities
  • 6. Where we are working  Connect resources to outcomes  Track resource expenditures down to school, classroom, and student  Value Added Analysis  Connect data to operational decisions and improvement planning  Build new measures into KPI frameworks
  • 9. Bottom Line for Tech Strategy  Moving to performance compensation changes the game  Evaluation of programs, practices, teacher prep partners, etc. becomes a core business function  Culture of evidence can grow from focus on productivity  Substantial new demands on socio- technical systems
  • 10. Inventory  SIS (granularity and S-T links)  DW (refresh, reports, and dashboards)  IMS/LMS  HR/Finance  PD  Platforms in schools/models of use  Network (backbone & building deployed)
  • 11. Discussion & Questions Chris Thorn University of Wisconsin-Madison cathorn@wisc.edu 608-263-2709

Editor's Notes

  1. Wrote about these problems back in 2001 and did a new more detailed book chapter in 2007. Core of accountability has be fiscal and contract compliance and has flowed up to state and federal agencies around a service-area model.Now that the measures of success have changed, the infrastructure is inadequate to support the demand for data.