Keeping the framework current: Announcing updates to select components
|
|
|
The framework’s first formal review process—designed to ensure the framework reflects current thinking in the field and incorporates diverse perspectives—is complete. An advisory board of individuals with P20W data and equity expertise convened in spring and early summer to review the feedback Mathematica has gathered since the framework’s original publication in August 2022. The framework website now reflects the board’s recommended updates on the following:
|
|
|
|
NEW Disaggregate on student parenting status. Nearly one in five undergraduate students are parents or caregivers. There is a growing movement at the state and federal levels to track whether students are also parents.
|
|
|
|
NEW Data Equity Principle #8 on inclusive data governance. The new principle includes considerations for establishing inclusive, transparent data system governance structures to make decisions about data management, access, and security.
|
|
|
|
UPDATED indicator definitions, metrics, and write-ups reflect advancements in the field and provide additional evidence to strengthen measurement. For example, consistent attendance now includes multiple recommended metrics for at-risk and satisfactory attendance consistent with AttendanceWorks measurement guidance and a discussion of post-pandemic attendance trends. See here for a complete list of indicator and metric updates.
|
|
|
Learn more about all the updates and watch for announcements about additional resources for using the framework later this year.
|
|
|
New! CEDS Connections for E-W Framework and upcoming Power BI report
|
|
|
AEM Corporation is excited to announce the release of new CEDS Connections for the Education-to-Workforce (E-W) Indicator Framework! These Connections align the Common Education Data Standards (CEDS) with the E-W Framework’s key indicators across multiple sectors, including K12, Early Learning, Postsecondary, and Cross-Domain metrics, creating a blueprint for anyone to implement. CEDS Connections are “recipes” for tracking and reporting recommended indicators: they include data elements and step-by-step guidance for calculating indicators states can use when data are aligned with the CEDS data standard. Currently, K12 and Postsecondary Connections are available on CEDS Connect. Connections for Early Learning and Cross-Domain will be available after their respective collaborator groups finalize them.
To explore the K12 Connections, visit CEDS Connect and search for “Education-to-Workforce (E-W) Indicator Framework” using the drop-down menu or the search bar. These Connections provide an invaluable resource for state education agencies, researchers, and policymakers to monitor educational progress and outcomes nationwide.
AEM is also developing a Cross-Domain Power BI report featuring one of the key indicators. AEM designed this report, the first of many planned for all sectors, with input from its Cross-Domain collaborators to ensure navigation ease, visual appeal, and relevance to stakeholders. Stay tuned for the release!
|
|
|
Student Upward Mobility Initiative announces grantees for innovative economic mobility research
|
|
|
The Urban Institute announced the projects receiving funding through the Student Upward Mobility Initiative (SUMI), which will advance research on what measures matter most for upward mobility. SUMI is designed to accelerate progress on economic mobility research by supporting innovative projects that develop, identify, and validate measures of skills and competencies driving economic mobility and improve researchers’ access to required data. Follow for future updates on research findings.
|
|
|
New resource: Education to Workforce Pathways Diagnostic Toolkit
|
|
|
State longitudinal data systems can enable insights about how students navigate pathways from K–12 education into higher education and the workforce and about where students may need additional support. The Harvard Strategic Data Project’s new SDP Education to Workforce Pathways Diagnostic Toolkit offers a resource to help agencies to analyze K–12 data, college enrollment and completion data, and workforce outcomes. Specifically, this resource can
|
- Help agencies capitalize on state longitudinal data systems to inform decision making.
- Serve as a starting point for strategic data conversations with senior education leadership.
- Provide analytic capacity to education agencies that have limited time and resources to devote to non-reporting research functions.
- Guide states toward potential action areas to better support students’ postsecondary attainment and economic mobility.
|
|
|
On the road with StriveTogether: Data equity takes center stage
|
|
|
Mathematica and Mirror Group led an interactive session at the StriveTogether Cradle to Career (C2C) Network Convening: “Centering Equity in Data Collection and Use: Applying the Education to Workforce Framework’s Data Equity Principles.” Presenters introduced the E-W Framework, focusing on the framework’s Data Equity Principles (DEPs) and including a case study exploring data equity in action. Using the framework’s Essential Questions as a starting point, breakout groups then practiced applying the DEPs to a topic relevant to their own work and communities.
|
Sophie Bright (Mathematica) and Adrian Neely (Mirror Group) at the StriveTogether Network Convening
|
|
|
Don’t forget about framework resources!
|
Visit Publications and Tools to find at-a-glance documents, infographics, resources from our partners, and more.
|
|
|
|
Are you interested in being featured on our website and in future newsletters? Please contact us to share your experience using components of the framework to guide your work or improve education and workforce data systems.
|
|
|
Have a question? Seeking additional support? Use the Contact Us feature on our website to send the team a message, and we’ll reach out to connect!
|
|
|
Why am I receiving this newsletter?
|
You are included on our distribution list if you helped develop or disseminate the E-W Framework, or if you have expressed interest in learning more about the framework. You may opt out of emails at any time here.
|
|
|
The Education-to-Workforce Indicator Framework (E-W Framework) is designed to promote data collection and use to advance educational and economic opportunity for all. The framework offers guidance for ethical and effective data use, essential questions and data that matter most, ways to disaggregate data to inform action, and evidence-based practices to drive positive change.
|
Mathematica
P.O. Box 2393 Princeton, NJ 08543-2393
P: (609) 799-3535 F: (609) 799-0005
|
|
|
|