Grantee State - Maine
Project Director: Bill Hurwitch
Websites:
2007 Grant Application
TEAchME - Tools for Educational Achievement in Maine
Start Date: 9/4/2007
End Date: 9/3/2010
Amount Awarded: $3,227,231
Project Application 
5 MB
Project Abstract 39 KB
Major Outcomes:
- A standard statewide Data Dictionary for education data to facilitate data collection from LEAs and the migration of data from disparate departmental databases into a central data warehouse. The Data Dictionary will include meta-data as well as SIF and NCES data element standards.
- A comprehensive central Data Warehouse serving as a repository of PreK-20 data from department databases to support data driven decision making, timely and complete State and federal reporting, as well as research and analysis of the effectiveness of intervention programs.
- A single sign-on Education Portal to provide secure and public access for all stakeholders for all education data from department data systems including the central data warehouse.
- Technology standards for State and LEA systems, including Full Integration of SIF Agents and Zone Integration Servers, to enable collection of staff, student, assessment and school funding data.
- A system for Electronic Collection of Student Level Transcript Data including the development of a statewide student transcript format and integration with higher education systems.
- Additional functionality in MEDMS to collect College Readiness Assessment Data (SAT, SAT II, ACT, etc.) from third party test vendors.
- Vertical Expansion of the Existing MEDMS Student and Staff Unique Identifiers to enable collection of longitudinal data after students leave the PreK-12 system. This will include adoption of the unique State student identifier by Maine's postsecondary institutions.
- A documented and streamlined process for the timely and accurate reporting of required EDEN data including adding EDEN data elements in the planned data warehouse.
- A Training and Professional Development program for SEA and LEA staff on data quality and using data effectively for decision making.
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