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WORKSHOP

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ASBO International 2005 Annual Meeting. FRIDAY, OCTOBER 21, 2005. Boston, MA. WORKSHOP AGENDA ... and trained staff to give decision makers confidence in the ... – PowerPoint PPT presentation

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Title: WORKSHOP


1
WORKSHOP 2
  • Vision to Know and Do Helping Educators Use
    Data Effectively
  • ASBO International 2005 Annual Meeting
  • FRIDAY, OCTOBER 21, 2005
  • Boston, MA

2
WORKSHOP AGENDA
  • Learning about CoSNs Data-driven Decision Making
    Initiative Vision to Know and Do
  • Small Group Exercise
  • Reporting Out and Reaching Consensus

3
VISION TO KNOW AND DOwww.3d2know.org
  • 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.

4
DEFINITION
  • Data-Driven Decision Making
  • A process of making choices based on appropriate
    analysis of relevant information

5
DATA DRIVEN DECISION MAKING PROCESS
  • Determine your desired outcome
  • Define your business processes
  • Identify data available

6
VISION TO KNOW AND DO
  • Released Vision to Know and Do The Power of Data
    as a Tool in Educational Decision Making and From
    Vision to Action How School Districts Use Data
    to Improve Performance ,in depth examinations of
    the issue
  • Created a rich website, www.3d2know.org
  • Developed a self assessment tool to estimate a
    districts readiness to use data-driven decision
    models
  • Convened a Congressional Seminars in Washington,
    DC
  • Issued quarterly newsletter, Vision to Know and
    Do newsletter

7
CURRENT CONTEXT
  • 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
    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
NCLB
  • "Information is the key to holding schools
    accountable for improved performance every year
    among every student groupData is our best
    management tool.  I often say that what gets
    measured, gets done.  If we know the contours of
    the problem, and who is affected, we can put
    forward a solution.  Teachers can adjust lesson
    plans.  Administrators can evaluate curricula. 
    Data can inform decision-making.  Thanks to No
    Child Left Behind, we're no longer flying
    blind." 
  • Secretary of Education Margaret Spellings

10
MOVING BEYOND THE MANDATE
  • Current environment is an opportunity to
  • use data to transform teaching, learning and
    administration.
  • inform decisions about everything from class
    schedules to textbook reading levels to
    professional development budgets.
  • provide a rationale for decisions that parents,
    teachers, taxpayers, and students can understand.

11
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.

12
DATA AND HURRICANE KATRINA
  • The Mississippi Student Information Systemwhich
    stores the past four years of student recordsis
    serving as a backup for districts that have lost
    crucial equipment and software, and the
    information they contain.
  • Mississippi districts receiving evacuated
    students from other districts in the state are
    tapping the states database for course records,
    grades, Carnegie units, and special
    classifications, thus smoothing those students
    transitions into new schools.

13
Perceived Benefits of Technology (Digital
Leadership Divide,CoSN/Grunwald Associates
Survey)
14
DATA-DRIVEN DECISION MAKING
Districts That Employ A Data-driven Decision
Making Process (Digital Leadership Divide
CoSN/Grunwald Survey)
15
CHANGING THE MINDSET
  • Why does education data make educators so
    uncomfortable? To only slightly exaggerate, for
    the past 150 years data was something a third
    party required you to gather about yourself so
    they could embarrass you with it three months
    later. Or so teachers and administrators
    believed. Data was something higher-ups would use
    to catch you doing something wrong.
  • No longer. As Montgomery County MD Superintendent
    Jerry Weast elegantly says, in his district, he
    uses data to catch you doing something right.
    Thats the good news. The better news is that the
    idea is catching on.

16
Vision to Know and DoThe Power of Data as a
Tool inEducational Decision Making
  • Highlights school districts using data analysis
    systems to improve student outcomes
  • Identifies factors for successfully integrating
    data into decision making processes
  • Calls for more emphasis on data-driven decision
    making as a way to prepare students with 21st
    century educational skills

17
Data Rich Districts
  • Baldrige winners are examples of school
    districts moving a step beyond of NCLB
    requirements by integrating data reporting into a
    culture of continuous improvement.

18
Data Rich DistrictRural Response to Local
Expectations
  • Name Chugach School District
  • Location Prince William Sound, Alaska
  • Enrollment 214 students

19
Chugach Improvement Process
  • Create a snapshot of the current status
  • Hold town meetings to shape a shared vision
  • Implement balanced instructional model
  • Write standards in a continuum from
    pre-kindergarten through 16
  • Determine assessments aligned to standards
  • Change reporting process for children, parents,
    teachers
  • Phase in with continuous improvement

20
Data Rich DistrictIntegrated Planning
  • Name Community Consolidated School District 15
  • Location Palatine, Illinois, northwest of
    Chicago
  • Enrollment 13,000 students

21
CCSD15 Improvement Process
  • Set measurable goals and targets
  • Collect data using electronic methods
  • Deliver information to decision makers
    (classroom, building, district)
  • Identify clearly levels of performance and
    opportunities for improvement

22

Data Rich DistrictStudents Choose Public
Schools
  • Name Pearl River School District
  • Location Rockland County, New York
  • Enrollment 2,467 students

23
Pearl River Improvement Process
  • Define district goals, objectives and projects
  • Collect data using format and informal check
    points
  • Check stakeholder satisfaction
  • Analyze promptly and share results
  • Compile analyses annually
  • Evaluate performance and achievement

24
Data Rich DistrictsLessons Learned
  • It takes time.
  • It has to start at the top.
  • Progress has to be measurable
  • Business models are starting points.
  • Community outreach is essential.
  • Data driven decision making can be a powerful
    tool in changing student outcomes and promoting
    continuous improvement.

25
NEW!!
  • From Vision to Action How School Districts Use
    Data to Improve Performance
  • for school district leaders and K-12 educators
    seeking ways to implement a data-driven decision
    making process

26
DATA RICH DISTRICTS
  • From Vision to Action draws from interviews with
    more than 30 experts around the country
  • Detailed profiles of Lemon Grove School District
    (CA), Fulton County Schools (GA) and Cleveland
    Municipal School District (OH).
  • Profiles and examples in From Vision to Action
    provide others with examples and techniques.

27
DISTRICTS INTERVIEWED
Indicates 2003-2004 enrollment.
28
FULTON COUNTY, GA
  • Getting started District wide strategic planning
    process in place
  • Implementation Cross functional teams help
    school site with data use and analysis
  • Results All elementary schools met AYP targets
    in 2003-4

29
LEMON GROVE
  • Getting started ubiquitous access to technology
    and focus on literacy
  • Implementation easy to use reports of multiple
    measures
  • Results 3 out of 4 Title I schools declared high
    achieving

30
CLEVELAND MUNICIPAL SCHOOL DISTRICT
  • Getting started data warehouse developed with
    site specialist access
  • Implementation Data teams discuss and analyze
    results to apply interventions
  • Results Reduced unexcused absences in one school
    from 9 to 2

31
KEY THEMES
  • Implementing a successful school district
    data-driven decision making process requires 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 can be effectively utilized in
    the process.

32
TEAM APPROACH TO SUCCESS
  • design and implementation involves the IT
    department, curriculum and instruction,
    assessment ,evaluation, and professional
    development with oversight by the superintendent.
  • integration into classroom practice requires the
    buy-in of teachers, principals and site-based
    support staff

33
TECHNOLOGY MATTERS
Technology Tools
Data
Information

34
TECHNOLOGY MATTERS
  • Technology is constantly changing
  • Information is the result of passing Data
    through Technology Tools
  • Technology, by itself, has no value
  • Results are primary goal

35
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.
36
DATA DRIVEN DECISION MAKING PROCESS
  • A process of three functional areas
  • collection, integration and dissemination of
    data
  • analysis and reporting of data and
  • process and procedures for acting on the data.

37
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?

38
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?

39
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?

40
PROGRESS IN DATA DRIVEN DECISION MAKING
  • 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.

41
CHALLENGES REMAIN
  • Lack of training 50
  • Interoperability 42
  • Lack of understanding about what to do with the
    data 39
  • Absence of clear priorities 36
  • Failure to collect data uniformly 35

42
FAILURE TO COLLECT DATA UNIFORMLY
  • Capture data to meet requirements
  • 7 no action, 28 early, 20 proficient
  • Extract data for analysis
  • 12 no action, 35 early, 15 proficient
  • Process for intervention strategies
  • 12 no action, 35 early, 13 proficient
  • Not just a tech issue alignment and leadership
    are essential

CoSN Self Assessment Tool.
43
(No Transcript)
44
LESSONS LEARNED
  • Select your technology team based on expertise
    and ability to perform
  • Technologies employed must be based on the
    business goals and not the other way around
  • Let the technology team do their job with
    frequent check points to the business model

45
ONLINE ASSESSMENT TOOL
  • Take a simple 10-question assessment is available
    at 3d2know.cosn.org/assessment/survey.cfm
  • Receive an immediate response
  • Learn where you are in the process of becoming a
    data rich district

46
NEW FAQS
  • Visit www.3d2know.org
  • View the full list of FAQs
  • Coming Soon Moderated discussion around these
    questions

47
FOR ADDITIONAL INFORMATION www.3d2know.org
  • What's New
  • Publications
  • Best Practices
  • Other Resources
  • Subscribe to the Newsletter

48
GROUP EXERCISE 1
  • Select a problem that you are currently facing in
    your school or school district
  • Indicate the types of data you will need to make
    a decision
  • Identify how you will proceed
  • Come up with an implementation plan, including
    barriers encountered

49
GROUP EXERCISE 2
  • Report out your findings
  • Share your experiences
  • Capture the findings ---
  • We want to present these to a larger audience and
    post on www.3d2know.org

50
ABOUT COSN
  • CoSN Mission
  • To promote the use of information technologies
    and the Internet to ensure technology has a
    positive effect on learning by focusing on
    leadership development, coalition building,
    advocacy and emerging technologies.
  • Audience
  • Key technology leaders at the school district,
    state and national level

51
CoSN GOALS
  • Leadership Development supporting school leaders
    to ensure technology has a positive effect on
    learning
  • Advocacy creating an effective voice on
    education technology issues
  • Coalition Building building partnerships and
    collaborative efforts around the use of
    technology in schools
  • Emerging Technology exploring meaningful uses
    for new technologies in education

52
COSN LEADERSHIP INITIATIVE
  • New!! 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
  • Safeguarding the Wired Schoolhouse
  • http//safewiredschools.cosn.org/
  • Resources to Help School Administrators
    Understand Internet Safety Strategies
  • 3D Vision to Know Do
  • http//3d2know.cosn.org/
  • Enabling Educators to Think Strategically about
    the Use of Data Driven Decision-Making
  • Cyber Security for the Digital District
  • http//securedistrict.cosn.org/
  • Ensuring Security of School Networks

53
Irene K. Speroirene_at_cosn.orgVice
President202-861-2676 x112 1710 Rhode Island
Ave., NW 900Washington, DC 20036www.cosn.org
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