American Institutes for Research

For Identification Of Deeper Learning Schools And Steps Needed To Scale The Deeper Learning Model

  • Amount
    $923,178
  • Program
  • Date Awarded
    7/20/2011
  • Term
    9.0 Months
  • Type of Support
    Project
Overview
American Institutes for Research, a leading U.S. research firm, proposes to study whether students in the more than 400 schools in the Foundation’s proof points network of model schools have more opportunities to engage in rich instructional activities; have developed stronger deeper learning skills; perform better on state assessments; and achieve better postsecondary outcomes than they would have in other schools. The study will have three goals: (1) to assess the degree to which these schools produce better student outcomes; (2) to describe school characteristics associated with deeper learning outcomes, scalability, and sustainability; and (3) to provide evidence that can convince policymakers to support greater investments in deeper learning and eliminate barriers to its spread. In 2012 and 2013, the Program will make two more funding requests to the Board for this study, which should cost approximately $4.5 million altogether.
About the Grantee
Grantee Website
www.air.org 
Address
1400 Crystal Drive, 10th Floor, Arlington, VA, 20007-3835, United States
Grants to this Grantee
for support of the California Collaborative on District Reform  
The California Collaborative on District Reform, housed at and staffed by the American Institutes for Research, brings together researchers, practitioners, policymakers, funders, advocates, and support providers to solve problems of educational practice at the district and state levels. The group will support effective implementation, sustainability, and refinement of pandemic recovery efforts in California’s schools. It will do so by contributing to the knowledge base about local practices and by working with districts to improve tools and processes used for strategic planning and budgeting. (Substrategy: District Deep Dives and Networks)

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