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This series of blog posts presents resources for educators from the 2021 Summit on Improvement in Education (and elsewhere). This is the third blog post, and it focuses on Data and Measurement.
This series of three papers presents a set of frameworks designed to assist educational leaders in making concrete improvements that advance deeper learning instruction at scale. They were produced by three study teams convened by the Carnegie Foundation and made up of members of research-practice partnerships and external experts with…
Five-year studies show that Carnegie’s network approach to improving developmental math increased both student success in college-level math and transfer rates from 2-year to 4-year colleges compared to students in traditional remedial math, even as enrollment quadrupled.
Social relationships are key to the potential of networked improvement communities to accelerate and sharpen education change using the improvement science approach. Veterans of the process explain how they keep strengthening those connections while expanding their networks.
A special issue of the journal Quality Assurance in Education breaks down seven approaches to improvement in education, beginning with the networked improvement model. Explore key features and principles of this method through a successful example of helping new teachers.
A networked improvement community in Tennessee that’s applying improvement science to address literacy rates finds that journey mapping helps to see the system more clearly, to build empathy for students affected by the problems, and to focus their improvement work.
User-centered design is key to developing meaningful change to improve student achievement, and networked improvement communities help ensure and maintain the focus on human needs.
Continuous improvement is gaining adherents in education for its evidence-based and structured methodology to creating lasting, effective changes to improve student achievement. Two Wisconsin superintendents share lessons learned as pioneers of the improvement process.
When a 2010 study found dismal success rates in college developmental math, the Carnegie Foundation formed a network of experts to address the problem guided by improvement science. This narrative tells how the process led to a new remedial program with stunning results.
Engaging students in learning through ambitious instruction is a chief focus of educational reform and policy in the US and around the world. The University of Michigan and the Carnegie Foundation created MOOCs to support teams of educational leaders in pursuit of this goal.
With the upcoming presidential inauguration and confirmation hearings for the next education secretary, Carnegie Foundation and other scholars are urging the new administration to shift federal education policy to support better school improvement strategies.
There’s ample new evidence of successful interventions to increase high school and college graduation rates to prepare students for today’s jobs. But, in this Memo to the President, Carnegie researchers explain what the federal government has to do to help spread this work.
A new president, a new secretary of education, and a new version of ESSA are creating a confluence of unknowns about the future federal role in education policy. Carnegie Foundation scholars propose their recommendations as part of a series of Memos to the President.
Teachers at High Tech High, a network of charter schools in San Diego County, say using improvement science has cultivated collaboration; set guidelines for clear, measureable goals; fostered innovative ideas; and encouraged more teachers to start improvement networks.
Policy can do a lot to support positive changes, but policy alone isn’t effective in such large, diverse, and complex arenas as education, wrote policy analyst Paul Lingenfelter in comments solicited by the federal Commission on Evidence-Based Policymaking.
What will it take to make effective, lasting, and scalable education improvements? It’s not a silver bullet. Policymakers and practitioners must start working together to design solutions based on research and evidence.
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