Stanford University

For A Performance Assessment Item Bank And A Series Of MOOCs For Teaching English Learners

  • Amount
    $1,650,000
  • Program
  • Date Awarded
    11/17/2015
  • Term
    24 Months
  • Type of Support
    General Support/Program
Overview
The Understanding Language/Stanford Center for Assessment, Learning, and Equity is a leading university-based developer of state-of-the-art performance assessments. It will conduct a multistate effort to develop and maintain an online performance assessment resource bank and support policy outreach on the use of performance assessment for school accountability. It will also develop massive open online courses (MOOCs) to help teachers, districts, and states meet the needs of English language learners with the Common Core and Next Generation Science standards. Both projects will make improved instructional resources and aligned assessments more widely available, develop educator capacity to use such tools, and advance policy reform to support and assess deeper learning outcomes.
About the Grantee
Grantee Website
siepr.stanford.edu 
Address
366 Galvez Street, Stanford, CA, 94305, United States
Grants to this Grantee
for support of the Policy Analysis for California Education program  
Policy Analysis for California Education (PACE) is a nonpartisan policy and research center housed at Stanford University. It researches and analyzes education policy issues pertaining to California’s K-12 education system, bridging the gap between research and policy. This grant will help PACE produce relevant analysis and research, which can be used to better inform California education policy development and guide state and local decision making. (Strategy: K-12 Teaching and Learning)
for support of a neuroimaging study of racial bias and professional investors  
SPARQ, a research center at Stanford University, seeks to reduce societal disparities and social divides using behavioral science. This grant will support research to examine racial diversity in the financial services industry. It is expected that this information will be used to develop strategies and practices to reduce biases that contribute to racial disparities.

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