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SchoolMatters.com
A Service of Standard & Poor’s School Evaluation Services (SES)
Michael StewartDirector of Research & Analytics
February 3, 2006
School improvement efforts have focused on data-driven decision-making, and the essential need for better databases.
But policy-makers don’t just need data-driven decision-making systems; they need performance management systems.
What’s the difference between data bases and knowledge bases?
Most databases include one or more broad categories of data: • Input data – such as financial and human resources• Contextual data – such such as demographics• Outcome data – such such as student achievement
These are often stored in fragmented - not integrated - systems.
Decision-Makers Need a Knowledge Base, Not Just a Better Data Base
A Knowledge Base:• Integrates different categories of data into a unified system• Interprets the data using performance benchmarks• Includes, but goes beyond, input, output, and demographic
data, by addressing the need for process data• Uses a data structure designed to address policy questions
Decision-makers can’t manage their way to better performance if they know their inputs and outcomes without knowing where to find better processes.
By providing tools to “mine” process data, a knowledge base can be used to improve – not merely audit – performance.
This isn’t a call to reinvent the wheel, but to integrate the components already available in order to build a knowledge base.
Student Performance• State test scores, participation rates, and
trends disaggregated by student group• College prep test scores & participation
(e.g., ACT, SAT, PSAT, AP)• Post-secondary patterns (as available)• Graduation rates• Dropout rates• Attendance rates
Return onResources
Relationship between student achievementand spending in demographic context
Spending and Revenue• Spending per student, by function, and
by program• How spending increases are
allocated over time• Local, state and federal revenue
• Operating margins• Compensation• Fund balance
• Taxes• Debt
School Environment• Student characteristics
(economically disadvantaged backgrounds, disabilities, limited English proficiency)
• Class size and school size• Teacher characteristics• School safety• Facilities, technology, infrastructure
Community Demographics
• Urban, suburban, rural locale• Adult education levels• Household income levels• Single parent households• Property values• Labor force, (un)employment • Other demographics
Performance Benchmarks
States compared to other states.
Districts compared to other districts in same state.
Schools compared other schools in same state.
Successful organizations continually search for new ideas by comparing themselves to other organizations to learn from their best practices.
This is known as benchmarking. It’s a data-driven process by which learning and innovation can trigger fundamental breakthroughs in thinking and practice
www.SchoolMatters.com
Standard & Poor's Observations Report is a written analysis on this district's Return on Resources.™ The report analyzes the district's academic and financial performance in demographic context. In addition to state comparisons, the report also compares the district with a composite of demographically similar peer districts.
Ann Arbor Public Schools
Standard & Poor's Observations Report is a written analysis on this district's Return on Resources.™ The report analyzes the district's academic and financial performance in demographic context. In addition to state comparisons, the report also compares the district with a composite of demographically similar peer districts.
Ann Arbor Public Schools
All Students
Economically Disadvantaged Students
Reading Proficiency Grade 4 Economically Disadvantaged
Outperformed for 2 YearsOutperformed for 1 Year
Outperformed for 3 Years
School improvement teams can use the workbook as a guide for collaborating with “better performers” to identify effective processes and adapt best practices.
Standard & Poor’s also offers professional development programs that provide training to school improvement teams in benchmarking methods.