Evidence for Improvement℠
This course introduces an analytic framework that clarifies and aligns the work of an improvement network and is intended for network leaders and individuals who support the analytic activities of networks.
This course introduces an analytic framework that clarifies and aligns the work of an improvement network and is intended for network leaders and individuals who support the analytic activities of networks.
Three up-and-coming networked improvement communities share common “messy” challenges and helpful advice at Carnegie’s 2017 Summit on Improvement in Education.
Some of the most successful efforts to identify and solve problems in teaching and learning occur within networked improvement communities. A new journal article lays out five critical strategies for success in building these collaborative teams of professionals.
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.
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.
The idea of forming collective action networks is growing among educators as they realize that today’s complex problems can’t be solved by one person alone. But there’s more than one type of community and which is best depends on the type of problem to be solved.
Networked Improvement Communities may hold the key to ending decades of educational inequity that have resisted most other efforts at reform.
In a session on leading the transformation of large complex systems at the 2016 Carnegie Summit, three superintendents discuss how they shaped improvement in their school districts by adopting strategies that resonate with three of the principles of improvement science.
Grantees of the Overdeck Family Foundation, sent to the 2016 Improvement Summit to gain perspective on a networked improvement approach, reflect on their experience at the event and share major takeaways for their ongoing work.
At the Carnegie Summit, panelists from the Gates Foundation and National Science Foundation shared their thoughts about how NICs integrate the collaborative structures and disciplined approaches necessary to accelerate educators’ efforts to improve.
At the Carnegie Summit, Hahrie Han shared insights from her research on participation and activism. One of the big questions she addressed is, how can we best mobilize people to work toward change together?
At the 2016 Carnegie Summit, Alex “Sandy” Pentland shared his research in the field of social physics that can help us understand the relationships between human behavior, collective experience, and the spread of ideas.
Permanent link to page: https://www.carnegiefoundation.org/blog/how-ideas-spread-in-and-between-groups-lessons-from-social-physics/