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Grantee State - Connecticut
Websites:
2023 Grant Application
Expand P20 WIN Research Partnerships
Start Date: 9/25/2023
End Date: 9/24/2027
Project Director: Ajit Gopalakrishnan
Amount Awarded: $3,856,750
Project Abstract 45 KB
Major Outcomes:
- Establishment of a research collaborative connected to P20 WIN: At the conclusion of year 1 of the grant, we plan to establish a governance structure for research partnerships based on state policy priorities, expanding beyond education.
- Execution of research projects through new collaborative: Once the new collaborative is established, we plan to execute 3 - 4 research projects, using SLDS data. The projects will be developed and completed in years 2 - 4 of the grant and will be designed to directly use SLDS data and to demonstrate the potential of the SLDS.
- Upgrades to data sharing and matching process to facilitate research partnerships: In parallel to development of the new research collaborative, we will make changes to the P20 WIN data sharing process to enable effective research partnerships, and the production of high-quality data, securely, in a timely fashion. The upgrades will include a focus on professional development supports for the people that make P20 WIN work.
2019 Grant Application
Expanding SLDS Infrastructure with New Data Sources to Enhance Equity
Start Date: 3/1/2020
End Date: 2/29/2024
Project Director: Ajit Gopalakrishnan
Amount Awarded: $3,234,566
Project Abstract 132 KB
Major Outcomes:
- Infrastructure Priority
- Add Data Sources. Connecticut proposes to add data sources to P20 WIN including social services, child welfare, higher education financial aid, and homelessness. These data will enhance the quality of information derived from P20 WIN studies and help improve education programs for the betterment of Connecticut’s most vulnerable citizens.
- Build Analytic Capacity. This project will also expand P20 WIN’s analytic capacity across the participating agencies by hiring one staff member at each agency to form an improved Data Steward Committee responsible for data preparation and analysis.
- Boost Data Matching Capacity. The project will secure data matching capability for its federated system by hiring a dedicated data matching analyst and implementing a more robust tech stack.
- Produce Research and Corresponding Data Tools: With the added analytic capacity at the Participating Agencies and partnerships with researchers, Connecticut will conduct research into five primary topics and produce interactive data tools that will increase data access, and support data use for better policy that improves education for all students.
2009 Grant Application
Connecticut Department 0f Education Longitudinal Data System
Start Date: 8/3/2009
End Date: 8/2/2015
Project Director: Ajit Gopalakrishnan
Amount Awarded: $2,937,416
Project Application 4.2 MB
Project Abstract 100 KB
Major Outcomes:
- Student-schedule-staff module: track course taking patterns for monitoring and evaluation purposes, and to more efficiently determine high qualified teacher status for NCLB.
- Establish a statewide course code taxonomy using NCES course code standards.
- Develop a vertical SIF component to facilitate the data transfer process between the SEA and LEA's student information systems.
- Create a student-schedule-staff module and data mart that contains student demographic and assessment results data, course type and associated teacher data such as age, years of experience, degree held, certification type, and teacher preparation program attended.
- Enhancement of secure data dissemination for SEA and LEA decision support.
2006 Grant Application
Connecticut Department 0f Education Longitudinal Data System
Start Date: 12/1/2005
End Date: 11/30/2009
Amount Awarded: $1,500,714
Project Application 21.5 MB
Project Abstract 122 KB
Major Outcomes:
- The specification and development of an enterprise-wide Persistent Data Storage Facility.
- The development of data marts, facing applications and decision support cubes used to disseminate data from the persistent data stores to the district, school, student, parent and public level.
- Provide training to LEA staff on the appropriate use of persistent data, decision support tools, identity management and password provisioning.
- A collaboration with the University of Connecticut Health Center, to develop a longitudinal research data warehouse, federating de-identified data from the Connecticut Departments of: Education; Children and Families; Public Health; and Mental Retardation.
- Develop SIF Zones and SIF agents to pilot horizontal and vertical reporting models(possible collaboration with other states).
- Develop a data dictionary to serve as a conclusive meta-library for elements collected on behalf of the department (possible collaboration with other states).