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Improving the Quality, Access, and Use of Data in Education to Improve Student Achievement

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Title: Improving the Quality, Access, and Use of Data in Education to Improve Student Achievement


1
Improving the Quality, Access, and Use of Data in
Education to Improve Student Achievement
  • 2006 U.S. Chamber of Commerce
  • Education and Workforce Summit
  • October 5, 2006, Dallas, Texas
  • Tom Lindsley

2
Introducing The Data Quality Campaign
  • Purpose Build Support and Political Will Among
    Policymakers to
  • Fully develop high-quality longitudinal data
    systems in every state by 2009
  • Increase understanding and promote the valuable
    uses of longitudinal and financial data to
    improve student achievement
  • Promote, develop, and use common data standards
    and efficient data transfer and exchange

3
The Power of Longitudinal Data
JL
  • Longitudinal Data data gathered on the same
    student from year to year makes it possible to
  • Follow individual student academic growth
  • Determine the value-added of specific programs
  • Identify consistently high-performing
    schools/classrooms/systems worthy of study

4
The Power of Longitudinal Data
  • Longitudinal data gives you the power to answer
    questions about
  • Student academic growth
  • Whether students are on track to later success
  • School effectiveness with well-prepared and
    poorly-prepared students
  • Student mobility and attrition
  • The impact of teacher preparation and training
    programs on student achievement
  • Focus school systems on preparing a higher
    percentage of students to succeed in rigorous
    high school courses, college and challenging
    jobs.

5
10 Essential Elements of State Longitudinal Data
Systems
  • A unique statewide student identifier
  • Student-level enrollment, demographic and program
    participation information
  • The ability to match individual students test
    records from year to year to measure academic
    growth
  • Information on untested students
  • A teacher identifier system with the ability to
    match teachers to students
  • Student-level transcript information, including
    information on courses completed and grades
    earned
  • Student-level college readiness test scores
  • Student-level dropout and graduation data
  • The ability to match student records between the
    pre-K12 and higher education systems
  • A state data audit system assessing data quality,
    accuracy, and reliability

6
Fundamental Design (not so) Future Issues
regarding Quality Data Systems
  • Fundamental Design Issues
  • Privacy Protection
  • Data Architecture
  • Data Warehousing
  • Interoperability
  • Portability
  • Professional Development around Data Processes
    and Use
  • Researcher Access
  • Future Issues
  • Connect school performance with spending
  • Connect school performance to employment and
    other systems
  • Transfer records across systems and states

7
DQC Managing Partners
Achieve, Inc Alliance for Excellent
Education Council of Chief State School
Officers Education Commission of the States The
Education Trust National Association of State
Boards of Education National Association of
System Heads National Center for Educational
Accountability National Center for Higher
Education Mgt Systems National Governors Assoc.
Center for Best Practices Schools
Interoperability Framework Association Standard
Poors School Evaluation Services State Education
Technology Directors Association State Higher
Education Executive Officers

The campaign is supported by The Bill Melinda
Gates Foundation and managed by the National
Center for Educational Accountability.
8
Data Quality Campaign Approach
  • Build Policymaker understanding and will to
    invest in and use quality data infrastructures
  • Success Stories
  • Recognition of leadership
  • Provide tools, materials and information
  • Examples of the powerful use of data to inform
    policy practice
  • ToolKits for various audiences on uses of data to
    improve achievement
  • Quarterly Issue Meetings
  • Create national forum to ensure collaboration,
    develop consensus and reduce duplication of
    effort
  • Leverage existing efforts to maximize impact
  • Collaborate/communicate through national
    partnership whenever possible
  • One-stop resource center www.DataQualityCampaign
    .org

9
State of the State Data Systems
  • This map shows how many of these essential
    elements each state currently has based on
    responses to the 2005 NCEA data system survey.
    The 06 results are being analyzed now.

10
Policy Implications of Survey Results
  • Does your system have the data in 2005-06 to
    address these issues using student-level
    longitudinal data?
  • Identify which schools produce the strongest
    academic growth for their students. (21 states
    can)
  • Know what achievement levels in middle school
    indicate that a student is on track to succeed in
    rigorous courses in high school. (3 states can)
  • Calculate each school's graduation rate,
    according to the 2005 National Governor's
    Association graduation compact? (15 states can)
  • Determine which high school performance
    indicators (e.g., enrollment in rigorous courses
    or performance on state tests) are the best
    predictors of students' success in college or the
    workplace. (2 states can)
  • Identify the percentage of high school graduates
    who go on to college take remedial courses. (8
    states can)
  • Identify which teacher preparation programs
    produce the graduates whose students have the
    strongest academic growth. (5 states can)

11
Campaign Resources
  • www.DataQualityCampaign.org
  • White Paper Brochure on Building State
    Longitudinal Data Systems
  • State Data Systems Survey Results
  • Calendar of Data-Focused Events Meetings
  • Resource Center highlighting existing work on
    data quality and use

12
Action Steps for Business Leaders Coalitions
  • Advocate for the building and maintenance of
    state longitudinal data systems.
  • Offer core business expertise in data
    analysis/use to educators and school system
    managers to help change the culture of data use
    in schools.
  • Base philanthropic funding and evaluation
    activities on school data to reinforce the power
    of data-based decision (practice what you preach
    and dont leave your business acumen at the
    school door!).

13
Contact the DQC
  • Tom Lindsley
  • National Center for Educational Accountability
  • Washington DC Office Director
  • tlindsley_at_just4kids.org
  • Aimee R. Guidera
  • National Center for Educational Accountability
  • DQC Project Director
  • aguidera_at_just4kids.org
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