New! E-W Framework website offers enhanced guidance and tools
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“Get Started” guidance for how to use the framework Wondering how the framework can support your work? Looking for tips on where to start? Check out our Learn, Apply, Act approach found on the new “Get Started” menu. Explore example goals the framework can help you achieve, such as supporting workforce transitions and success or strengthening data systems and infrastructure. Each goal is accompanied by relevant resources, tips on applying data equity principles, external links to related data, recommended next steps, and more!
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Personalized resource packet You can now generate a customized, downloadable PDF that includes filtered framework content most relevant to you. Filtering is now easier than ever with new hover-over explanations, plus options to see all filters applied and clear all filters. Visit any of the pages linked below to apply filters, then select the “Generate Packet” button found under “Personalize your Resource Packet”:
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Site search Not sure where to find what you’re looking for on the framework website? Enter key words in the site search to find relevant content across all website pages.
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On the road at AERA: “Appraising Equity in Education with the Nation’s Report Card and Beyond”
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Answering critical questions about how students progress through their education and beyond—and how schools help (or hinder) their chances of success—requires understanding complex forces that shape social and economic mobility. The Nation’s Report Card provides a clear picture of drops in math and reading test scores during the COVID-19 pandemic, but federal sources provide less data on students with different learning needs or in grades that aren’t typically tested, and even less on how student well-being was affected. In a symposium at the annual meeting of the American Educational Research Association, Mathematica joined presenters from the National Center for Education Statistics, American Institutes for Research, Optimal Solutions Group, and ETS to discuss opportunities to unpack educational equity with data from the National Assessment of Education Progress and supplemental data. Our team presented findings from a new resource—the Indicator Readiness Brief—that explores where to go next with education equity measures.
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Introducing the STEP Forward with Data Framework
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The Early Childhood Data Collaborative at Child Trends has published the System Transformation for Equitable Preschools (STEP Forward with Data) Framework, a new tool to help preschool leaders use data to promote greater equity in the preschool system. Divided into six key steps, the framework offers users 20 essential questions about preschool data and recommended data metrics through which leaders can better understand the experiences of preschool children, families, and workforce members. The STEP Forward with Data Framework can be used in conjunction with broader frameworks, such as the E-W Framework, to understand the connection between preschool and K–12 systems and identify places along any system that might be contributing to disparities in experiences. Access the framework and implementation resources or view a webinar to learn from preschool leaders and experts about how to use the framework.
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New Student Upward Mobility Initiative (SUMI) will fund innovative economic mobility research
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A new initiative led by the Urban Institute will fund research to develop, identify, and validate measures of skills and competencies in PK-12 education that drive economic mobility. This grant program offers an exciting opportunity to better measure and understand the drivers of students’ later success, including the skills and competencies covered in the E-W Framework.
Grant recipients will be announced in late summer/early fall. In the meantime, check out this publication from the Urban Institute on how new evidence could support students’ economic mobility.
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Resource spotlight: Indicator Readiness Brief
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Our new E-W Framework Indicator Readiness Brief can help you identify which indicators are likely to be ready for adoption and which represent opportunities for further development. Explore the brief for examples of how you might advance the use of E-W indicators through your work, depending on your role and goals.
In early conversations with framework users, we heard a desire for more guidance on where to start with the framework’s measurement recommendations. Although some of the framework’s 99 recommended indicators are already widely collected, others are not yet collected systematically because they require securely linking individual-level records from multiple sectors or require a new assessment or survey tool. For a small number of indicators, measurement is still being refined and tested in the field. In this brief, we categorize indicators into three levels of readiness for adoption—well-established, evolving, and emerging—based on whether the indicator is feasible to measure, comparable across states and localities, and the level of consensus in the field around whether and how it should be measured.
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Don’t forget about our other framework-related resources!
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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.
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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!
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Why am I receiving this newsletter?
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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.
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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.
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Mathematica
P.O. Box 2393 Princeton, NJ 08543-2393
P: (609) 799-3535 F: (609) 799-0005
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