Improving Instruction through Regional Data Initiatives

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Improving InstructionthroughRegional Data
Initiatives

• FY2010 ARRA Title II, Part DCompetitive Grant
  Program
• Applications due September 15, 2009

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AgendaImproving Instruction through Regional
Data Initiatives

• State Board Criteria
• Purpose / Vision
• Eligible Applicants
• Intent
• Successful Design
• Consortia Leader
• Consortia Structure
• MAISA Professional Learning Community
• Grant Range

• Grant Addenda
• Funding Rounds
• Data for Student Success
• District Assurances
• Grant Deadlines
• Scoring Rubric
• Questions
• Question and Answer

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2009 State Board CriteriaImproving Instruction
through Regional Data Initiatives

• Competitive grants issued under Title II, Part D,
  Enhancing Education through Technology (EETT)
  shall assist Local Education Agencies (LEAs) or
  eligible local partnerships in implementing and
  supporting comprehensive, technology-based
  solutions in elementary and secondary schools,
  both inside and outside the traditional
  classroom, to improve student academic
  achievement and
  
  Also eligible are local and state
  efforts to use technology in promoting parent and
  family involvement in education and to enhance
  communication and In
  addition, all grants funded under this program
  will incorporate concepts of and contain a
  rigorous evaluation component, particularly
  regarding the impact on student academic
  achievement.

the use of data
and educational technology as effective tools for
improving teaching and learning.
the sharing
of teaching, learning, data, information, and
best practices among students, parents, teachers,
principals, administrators, and other education
stakeholders.

Universal Design for Learning (UDL)
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PurposeImproving Instruction through Regional
Data Initiatives

• Purpose to provide Michigan teachers with
  real-time access to student data at the classroom
  level
• Seeks proposals on how to best use the programs
  that are currently in place
• Provides every educator in Michigan with an
  opportunity to differentiate and individualize
  instruction
• Builds on professional development for using
  data to inform instruction and how to
  individualize instruction (Universal Design for
  Learning)

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Grant VisionImproving Instruction through
Regional Data Initiatives
State ? ISD ? District ? Building ?
Classroom
ISD ? District ? Principal ? Teacher ?
Student
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Eligible ApplicantsImproving Instruction through
Regional Data Initiatives

• This grant is targeted to eligible partnerships
  (i.e., consortia of ISDs) that include at least
  one high need district (LEA), which can be
  defined as one that
• Is among those districts in Michigan with the
  highest numbers or percentages of children from
  families with incomes below the poverty line as
  defined by the TITLE I - PART A, ALLOCATIONS
  School Year 2008-09 found at http//www.michigan.
  gov/documents/mde/MDE-P2_FS_09_T1aAllocListOrig_24
  2286_7.pdf
• and
• Serves one or more schools identified for
  improvement or corrective action under section
  1116 of the No Child Left Behind (NCLB) Act of
  2001.
• All Michigan LEAs and PSAs are eligible and
  encouraged to participate in the Regional Data
  Initiatives grant through their ISD. However,
  LEAs and PSAs can only participate in the
  Regional Data Initiatives project in which their
  ISD is participating.

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IntentImproving Instruction through Regional
Data Initiatives

• MDE anticipates awarding between five and ten
  grants to ISDs for the purpose of establishing
  and leading consortia of other ISDs and their
  constituent local educational agencies (LEAs) and
  public school academies (PSAs).
• Promote the adoption and use of existing packages
  of web-based tools, services, resources, and
  professional development that identify, connect,
  and combine diverse educational data elements in
  meaningful ways.
• MDE intends for this grant to extend and expand
  existing implementations of data analysis
  programs to those ISDs, LEAs, and PSAs that do
  not currently have access to such programs.

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Successful DesignImproving Instruction through
Regional Data Initiatives

• Demonstrated package of tools, services, and
  professional development that meets the purpose
  and goals of the grant
• Identifies, connects, and combines diverse
  educational data elements (e.g., personnel,
  financial, crime and safety, schools/facilities,
  and student data, including assessment
  information and results) in meaningful ways from
  various sources and over time so that
  administrators and educators have access to the
  information they need to guide student learning.
• Integrates elements of participating ISDs and
  districts student information systems and other
  statewide data into a package of web-based tools,
  services, resources, and professional development
  programs to create a system that lowers
  sustainability costs and increases the access to
  data by teachers and administrators.
• Incorporates the above data into tools, services,
  resources, and professional development programs
  that assist educators in individualizing and
  differentiate instruction for all students.

Data Warehouse
Interoperability
Differentiation
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Consortia LeaderImproving Instruction through
Regional Data Initiatives

• The applicant ISD will serve as Consortium Leader
  for the several ISDs that join its proposed
  project. In addition to serving as the fiscal
  agent on the grant, each Consortium Leader will
  be responsible for the successful implementation
  of the Regional Data Initiatives in each ISD that
  joins its consortium. Furthermore, all Consortium
  Leaders will be expected to participate in
  statewide conversations and collaborations to
  identify and select common tools, resources, and
  services, including evaluation services, for the
  grant program as a whole.

Pass-throughs dont cut it!
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Consortia StructureImproving Instruction through
Regional Data Initiatives
MAISAProfessional Learning Community


Applicant /ConsortiumLeader 1
ParticipatingISD A
ParticipatingISD B
ParticipatingISD C
-
-

LEA
PSA
Non-Public
LEA
PSA
Non-Public
LEA
PSA
Non-Public
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MAISAProfessional Learning CommunityImproving
Instruction through Regional Data Initiatives

• Interfacing with district student information
  systems
• Developing common professional development
  programs
• Recommending a common set of state and national
  course definitions
• Facilitating research relationships
• Purchasing and sharing of tools and resources for
  differentiated instruction
• Developing a common set of drop out prevention
  reports
• Implementing a common set of standards for
  teacher technology skills
• Implementing a common set of assessment items for
  8th grade tech lit
• Evaluating the impact of Regional Data Initiatives

Hold 20of Budgetto coverCollaborativework
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Grant Range Improving Instruction through
Regional Data Initiatives

• 11.6 million apportioned to 57 ISDs
• Size of District grouped and categorized
  according to size and assigned to ranges (2,500
  to 150,000)
• High Poverty Districts regrouped and categorized
  according to number of students receiving Free
  and Reduced Lunch (2,500 to 25,000)
• High Priority Schools 5,000 for each non-AYP
  school (max of four)
• Minimum ISD Awards a minimum award was set at
  75,000

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Grant Range Improving Instruction through
Regional Data Initiatives
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Grant Range Improving Instruction through
Regional Data Initiatives
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Grant Addenda Improving Instruction through
Regional Data Initiatives

• Education Research Collaborative Partners
• Personnel Skilled with Technology
• 8th Grade Technological Literacy
• Michigan Superintendent of Public Instructions
  Dropout Challenge

Every consortium encouraged to apply
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Funding RoundsImproving Instruction through
Regional Data Initiatives
Round 1 Consortium
Round 2 Consortium
If funds remain
Applicant /ConsortiumLeader 2
ParticipatingISD X
ParticipatingISD Y
ParticipatingISD Z



LEA
PSA
LEA
LEA
PSA
Non-Public
PSA
Non-Public
LEA
PSA
Non-Public
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Data for Student Success (D4SS)Improving
Instruction through Regional Data Initiatives

• Data for Student Success (D4SS) project ?
  providing a common source of compulsory data
  reported out by the State
• The Regional Data Initiatives ? aligning regional
  data systems with D4SS
• Two areas of focus
• Automated release, transfer, and incorporation of
  state compulsory data to each Regional Data
  Initiative (single data out platform or
  conduit)
• Common set of trainings on data driven decision
  making

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8 District AssurancesImproving Instruction
through Regional Data Initiatives

• Regional Data Initiatives ? classroom practice
• Regional Data Initiatives ? District Student Info
  System
• 4 professional development days ? two school
  years
• Participation ? FY2009-10, FY2010-11 and
  FY2011-12
• Full participation ? collective evaluation
• Permission ? data for research purposes
• Common set of standards ? technology skills
• Common set of assessment items ? 8th grade tech
  literacy

Play for Pay
Non-public schools must indicate interestduring
the planning stages
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Grant DeadlinesImproving Instruction through
Regional Data Initiatives

• July 23, 2009 Grant Program Announcement
• September 1, 2009 Grant Program live in MEGS
• September 15, 2009 Round One applications due
• October 15, 2009 Round One recommendations
• February 25, 2010 Round Two applications due
• March 25, 2010 Round Two recommendations
• June 30, 2011 Projects to be completed funds
  expended
• July 31, 2011 Final Performance Report due
• August 31, 2011 Final Expenditure Report due

If funds remain
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Scoring RubricImproving Instruction through
Regional Data Initiatives

• 5 points Abstract
• 15 points Identification of Need
• 50 points Project Design
• Data Warehousing (10 points)
• Current Implementation (15 points)
• Differentiated Instruction (10 points)
• Professional Development (15 points)
• 15 points Deployment and Sustainability
• 5 points Project Leadership
• 10 points Program Budget

20 Pages max!!!
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QuestionsImproving Instruction through Regional
Data Initiatives

• What to do about LEAs who want to be involved but
  are not using what their ISD uses?
• What is the process for round 2 ISDs to get
  involved?
• How does eTranscript work in this?
• Can funding of data coaches in the counties be
  part of this grant?
• Can the consortium indicate it is partnering with
  other organizations to complete the work (i.e.
  REMC)?
• What types of activities are expected in the
  category of 20 set aside for collaborative work
  through a PLC administered by MAISA (20 is over
  2 million across all grants)?
• Is more than one consortium per product allowed?

There are no dumb questions . . .
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Question and AnswerImproving Instruction through
Regional Data Initiatives

• Bruce Umpsteadumpsteadb_at_michigan.gov517.335.2957