1. Improving Instruction through Regional Data Initiatives FY2010 ARRA Title II, Part D Competitive Grant Program Applications due September 15, 2009

2. Agenda Improving 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

3. 2009 State Board Criteria Improving 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)

4. Purpose Improving 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)

5. Grant Vision Improving Instruction through Regional Data Initiatives Data Access Data Storage Data Display Data Reports Data Collection State  ISD  District  Building  Classroom ISD  District  Principal  Teacher  Student

6. Eligible Applicants Improving 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_242286_7.pdfhttp://www.michigan.gov/documents/mde/MDE- P2_FS_09_T1aAllocListOrig_242286_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.

7. Intent Improving 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.

8. Successful Design Improving 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

9. Consortia Leader Improving 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” don’t cut it!

10. Consortia Structure Improving Instruction through Regional Data Initiatives Participating ISD A LEAPSANon-Public Participating ISD B LEAPSANon-Public Participating ISD C LEAPSANon-Public -$ = MAISA Professional Learning Community Applicant / Consortium Leader #1

11. MAISA Professional Learning Community Improving 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 20% of Budget to cover Collaborative work

12. 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

13. Grant Range Improving Instruction through Regional Data Initiatives

15. Grant Addenda Improving Instruction through Regional Data Initiatives 1.Education Research Collaborative Partners* 2.Personnel Skilled with Technology 3.8th Grade Technological Literacy 4.Michigan Superintendent of Public Instruction’s Dropout Challenge * Every consortium encouraged to apply

16. LEAPSALEA Funding Rounds Improving Instruction through Regional Data Initiatives Participating ISD X LEAPSANon-Public Participating ISD Y PSANon-Public Participating ISD Z LEAPSA +$ Applicant / Consortium Leader #2 Non-Public Participating ISD Z LEAPSANon-Public +$ Round 1 ConsortiumRound 2 Consortium **If funds remain**

17. 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

18. 1.Regional Data Initiatives  classroom practice 2.Regional Data Initiatives  District Student Info System 3.4 professional development days  two school years 4.Participation  FY2009-10, FY2010-11 and FY2011-12 5.Full participation  collective evaluation 6.Permission  data for research purposes 7.Common set of standards  technology skills 8.Common set of assessment items  8th grade tech literacy Play for Pay 8 District Assurances Improving Instruction through Regional Data Initiatives Non-public schools must indicate interest during the planning stages

19. July 23, 2009Grant Program Announcement September 1, 2009Grant Program “live” in MEGS September 15, 2009Round One applications due October 15, 2009Round One recommendations February 25, 2010Round Two applications due* March 25, 2010Round Two recommendations * June 30, 2011Projects to be completed; funds expended July 31, 2011Final Performance Report due August 31, 2011Final Expenditure Report due Grant Deadlines Improving Instruction through Regional Data Initiatives **If funds remain**

20. 5 pointsAbstract 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!!! Scoring Rubric Improving Instruction through Regional Data Initiatives

21. Questions Improving 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...

22. Question and Answer Improving Instruction through Regional Data Initiatives Bruce Umpstead umpsteadb@michigan.gov 517.335.2957 umpsteadb@michigan.gov