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Vision to Know and Do: A Datadriven Decision Making Partnership

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Best practices. Seminars for policymakers. Conference presentations. No Child Left Behind ... Poway Unified School District. California ... – PowerPoint PPT presentation

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Title: Vision to Know and Do: A Datadriven Decision Making Partnership


1
Vision to Know and DoA Data-driven Decision
Making Partnership
  • NSBA TL
  • November 9, 2006
  • Dallas, Texas

2
Participants
  • Charles Garten, Garten Consultants
  • Irene Spero, Vice President, CoSN and Director,
    Data-driven Decision Making Initiative

3
Presentation Outline
  • Learn about CoSN Data driven Decision Making
    Initiative
  • Describe how school district leaders are using
    data in the educational process
  • Summarize challenges faced in implementing a
    data-based decision making process
  • Engage audience to share information

4
About CoSN
  • CoSN Mission
  • CoSN serves as the national organization for
    K-12 technology leaders who use technology
    strategically to improve teaching and learning.
  • CoSN provides products and services to support
    and nurture leadership development, advocacy,
    coalition building, and awareness of emerging
    technologies.
  • Audience
  • Key technology leaders at the school district,
    state and national level and from the private
    sector

5
Vision to Know and Do
  • Launched in 2003 by CoSN to help educators use
    data effectively. This initiative is
  • a highly-respected source of up-to-date,
    unbiased information
  • an easy to use mechanism for educating school
    leaders
  • a nationally-recognized framework for sharing
    knowledge
  • Supported by Founding Partners ETS, IBM and SAS
    with additional support from Co-nect, Dell,
    Pearson Education, Plato Learning, PowerSchool ,
    SchoolNet, and Texas Instruments. Scholastic
    Administr_at_tor is the Media Partner.

6
Vision to Know and Do
  • CoSN tools for educators on data-driven decision
    making in the educational process.
  • Website, www.3d2know.org, with high quality
    resources, presentation materials, case studies,
    and publications.
  • Background papers
  • Self Assessment Tool
  • E-newsletter
  • Best practices
  • Seminars for policymakers
  • Conference presentations

7
No Child Left Behind
  • Data collection, analysis and reporting are
    critical components of No Child Left Behind
    (NCLB).
  • School districts must collect more data, in more
    detail and disaggregate them.
  • State-level systems and support are being
    developed for collecting and integrating student
    assessment data with demographic information.

8
National Education Technology Plan
  • Toward A New Golden Age in American Education
    (2004) calls upon states, districts and schools
    to
  • establish a plan to integrate data systems
  • use data from both administrative and
    instructional systems to understand
    relationships
  • ensure interoperability  and
  • use assessment results to inform instruction

9
Ten Reasons to Bring Data into Decisions
  • Assess the current and future needs of students
  • Decide what to change
  • Determine if goals are being met
  • Engage in continuous school improvement
  • Identify root causes of problems
  • Align instruction to standards
  • Provide personalized instruction
  • Track professional development
  • Meet accountability provisions of NCLB
  • Keep constituents informed about progress

10
Definition
  • Data-Driven Decision Making
  • A process of making choices based on appropriate
    analysis of relevant information

11
Technology Matters
Technology Tools
Data
Information

12
Data Reality
  • Wealth of data but little actual knowledge of
    what the data mean
  • Scattered and antiquated technology
    infrastructure separate legacy systems
    impossible to link
  • Data accessible only through gatekeeper data
    analysts
  • Inaccurate, late or cumbersome data

13
Technology Tools
  • Infrastructure of networks, servers and
    telecommunications as foundation for
    applications
  • Software applications for managing NCLB
    requirements, student information, and finance
  • Data management and databases
  • Decision support
  • Data analysis
  • Report writers
  • Homegrown solutions

14
Components of a Data Based Decision Making System
School Interoperability Framework IMS
Reporting and Analysis ServicesTurning data into
useful information
Dissemination Sharing data with the community
(ie report cards)
Data Warehouse
Reports
State and Federal Reporting Meeting reporting
compliance
Training Learning how to use data to make
informed decisions.
Personalized Instruction
Source US Department of Education, 2003.
15
K-12 MARKET
  • Dynamic and growing K-12 market for computerized
    student data and business management systems
    (973 m in sales)
  • Blurring lines among student information
    systems, assessment systems and data warehouses
  • No one company offers the killer application or
    one stop shop solution

16
Moving Beyond the Mandate
  • Growing number of districts are making major
    investments in data tools and in training as a
    way of
  • Complying with NCLB and state accountability
    measures
  • Meeting the student achievement targets that
    under grid these statutes

17
Poway Unified School District California
  • Enrollment 32,754 students in 31 schools in
    suburban San Diego
  • All Students Learning/Whatever It Takes
  • www.powayusd.sdcoe.k12.ca.us

18
Poway Unified School DistrictCalifornia
  • Poway Improvement Process
  • Organize and clean up years of data
  • Design data warehouse based on student learning
    objectives
  • Prioritize delivery to emphasize clarity and
    meaning
  • Provide professional development to use system
    for frequent tasks
  • Add filters, reports, and tools based on teacher
    feedback

19
Poway Unified School DistrictCalifornia
  • Data warehouse pulls information from the
    districts Total Information Management system,
    human-resources, and financial-management
    systems.
  • Administrators can allocate more funding and
    other resources to a school whose test scores are
    slipping
  • Soon, the data warehouse also will be able to
    pull information from the districts
    transportation and food-service databases.

20
Poway Unified School DistrictCalifornia
  • Results
  • With increased use of TIM from 2002 to 2005,
    academic performance index increased from 813 to
    849
  • Percent Proficient on California Standards
    English/Language Arts Test increased from 59 in
    2001 to 66 in 2005 for elementary school
    students, from 61 to 72 for middle school
    students and from 65 to 73 for high school
    students

21
Poway Unified School DistrictCalifornia
  • Professional development
  • Three year-long training courses of teachers
    using the data to set classroom goals, grade
    level goals, and individual student goals, as
    well as training to help build assessments
  • Focus is on using data to support individual
    student growth and student ownership of the
    learning process.
  • Web pages contain resources teachers are creating
    current PowerPoints, graphic organizers,
    notebooks and additional resources ,
    (www.pusdmap.com)  

22
Challenges
  • The greatest challenge is not technical nor
    technological, but the lack of training to help
    educators use data and understand its power

23
(No Transcript)
24
Providing Professional Development
  • Most teachers and administrators not trained in
    data analysis and those developing computerized
    data systems arent educators
  • More time and resources for training are essential

25
Challenges A Voice from the Field
  • School CIO asked readers to anonymously share
    their toughest pain points about data-driven
    decision making
  • Recently I was on the verge of helping a
    district begin their D3M trek when we came to an
    abrupt halt. The stop sign was erected by the
    district's instructional and administrative
    leaders, not the IT organization. IT was fully
    prepared to explain the challenges associated
    with locating data in their student information
    system, implementing data analysis processes, and
    rolling out a user-friendly query interface.
    However, IT was not able to allay fears that the
    "right" data had been identified and was
    available. Further, only a handful of educators
    understood the larger context of D3M

26
Paying for Technology
  • Systems are expensive
  • Spending on data is a priority because of
    accountability mandates
  • Data management systems are a top priority for
    education technology spending in 2006

27
Lessons Learned
  • It takes time.
  • It has to start at the top with committed
    leadership.
  • Progress has to be measurable
  • Business models are starting points.
  • Community outreach is essential.

28
Lessons Learned
  • Success depends on a collaborative team approach.
  • The process is continual and cyclical moving from
    the collection of data , to reporting and
    analysis and finally to using data for targeted
    interventions.
  • Technology tools are effective if used properly.

29
Data Collection And Integration Checklist
  • Is a data warehouse in place?
  • Are the technical and human support tools in
    place to move data from warehouse to schoolhouse?
  • Are systems developed to integrate data into
    instruction?
  • Are teachers using assessments to measure
    progress?
  • Are curriculum and assessments aligned to
    standards?

30
Data Analysis Checklist
  • Do teachers have access to data in an easy-to-use
    format soon after assessment?
  • Does the district support the process with
    analytical tools and trained staff to give
    decision makers confidence in the data and tools?
  • Are teachers trained to use item analysis to
    understand student outcomes and instructional
    effectiveness?

31
Using Data Checklist
  • Does the district provide the tools and training
    to interpret and query data?
  • Have data teams developed a process for
    identifying, recommending and implementing
    intervention based on data?
  • Do district and school-site change agents support
    teachers and their use of targeted interventions?

32
Lessons Learned
  • Majority of districts are making progress in
    collection of data and most are working towards
    analysis and reporting.
  • Challenging task remains providing teachers with
    proven strategies for targeted interventions in
    the classroom.

33
For Additional Information www.3d2know.org
  • What's New
  • Publications
  • Best Practices
  • Other Resources
  • Subscribe to the Newsletter
  • FAQs
  • Assessment Tool

34
COSN LEADERSHIP INITIATIVE
  • Accessible Technologies for All Students Project
  • http//www.accessibletech4all.org/
  • increasing achievement and success for all
    students through the unlimited and effective use
    of accessible technologies
  • Taking Total Cost of Ownership (TCO) to the
    Classroom http//classroomtco.cosn.org/
  • Helping School Leaders Budget More Accurately
    for Education Technology
  • Cyber Security for the Digital District
  • http//securedistrict.cosn.org/
  • Ensuring Security of School Networks
  • NEW! K-12 Open Technologies
  • www.k12opentech.org
  • Helping Educators Adopt and Evaluate Open
    Technologies in the K-12 Environment
  • New!! Value of Investment

35

K-12 School Networking Conference
Bridging Individualized Learning High Stakes
Accountability www.k12schoolnetworking.org March
28-30, 2007 CoSNs K-12 School Networking
Conference is the premier event for education
leaders on technology and learning through the
Internet! The conference attracts over 800
district, state and national education technology
leaders. International Symposium on March 27,
2007 Using Games and Simulations for Engaged
Learning
36
THANKS!!
  • Irene K. Speroirene_at_cosn.orgVice
    President202-861-2676 x112 1710 Rhode Island
    Ave., NW 900Washington, DC 20036www.cosn.org
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