Minnesota developed the Minnesota Statewide Longitudinal Education Data System (SLEDS) matching student data from pre-kindergarten through completion of postsecondary education and into the workforce. Bridging existing data with other incoming data a range of education programmatic and delivery questions can be answered to gauge the effectiveness of current programs and design targeted improvement strategies to help students.
SLEDS brings together data from education and workforce to
The Minnesota P-20 Education Partnership governs the SLEDS system. The project is managed jointly by the Minnesota Office of Higher Education (OHE), Minnesota Departments of Education (MDE), and Employment and Economic Development (DEED).
Wednesday, May 24th from 3-4:30pm
Dual credit education has been shown to be positively related to enrollment in college and persistence to second year. While 48% of Minnesota high school graduates participate in some form of dual credit education (e.g. concurrent enrollment, PSEO, Advanced Placement, International Baccalaureate), students of color and lower income students are under-represented among participants. Knowing that Minnesota faces large gaps in education outcomes for students of color, this raises questions about the purpose, eligibility, financing, credit policies and transition to college. How should the state be thinking about the future of dual credit? At this data-driven conversation, we will talking about what the research shows and how Minnesotas educational systems are approaching the issue.
Minnesota Office of Higher Education
Main Conference Room
1450 Energy Park Drive, Suite 350
St. Paul, MN 55108
Facilitator: Dr. Nancy Walters, Minnesota Office of Higher Education
The SLEDS Annual Report describes the mission, achievements, purpose, and future of SLEDS. In reflecting on the efforts that brought SLEDS to its current status, we can look forward to the work in the years to come that will build a sustainable data system. As Minnesota faces new and unknown challenges in education and the workforce, we need diverse stakeholder groups to engage with the tools available to identify potential for system improvement and more strategic public investments. SLEDS is only the instrument to answer critical social questions.
The Postsecondary Data Mart is a secure website where a postsecondary institution can download student-level data for enrolled and graduating students from SLEDS, including pre- and post-college variables. For more information about the data available for download, see the attached the Postsecondary Data Mart Field List for Enrolled Students/Completers.
The steps for accessing the Postsecondary Data Mart will vary based on the institution. These processes are detailed below. OHE will also host two webinars to provide further details about the Postsecondary Data Mart and the access process.
Access & Approval Process
In order to ensure security of SLEDS data, you and your institution must complete several steps to gain access.
The OHE Data Sharing Agreement Clause 2 Representative (C2R) is the individual authorized to grant OHE permission to release information identifying the institution or system. This is also the individual responsible for signing the SLEDS DSA. Who is my Clause 2 Representative?
A Level 3 User is an individual appointed by the institution or system to be able to access SLEDS data on students from their institution, but is not responsible for granting release of information.
What is SLEDS? In order to answer policy questions and gauge effectiveness of improvement strategies, SLEDS will bridge existing data with incoming data. A four P's framework of Pathways, Progress, Predictors and Performance will help stakeholders assess and evaluate data across systems to answer critical and long-ranging questions. This will build a comprehensive body of information to inform future decision-making.
The Four P's:
Pathways: The movement of individual students between K-12/Higher Education/Workforce
Progress: The benchmarks or transition points students meet or fail to meet.
Predictors: The characteristics, patterns, or commonalities that help explain which students succeed and which do not.
Performance: How well are education and workforce aligned for individual success?
Meredith Fergus, Office of Higher Education, 651-259-3963