Organizing in networks is not a new idea. But the joining together of improvement science and networks affords great promise for accelerating educators’ efforts to improve our nation’s schools. Learn more about networked improvement communities.
In education, we often talk of confronting complicated problems, when they are truly complex problems. The difference between complicated and complex truly matters in how we works towards our end goals. It is time we approach complex problems as complex.
Trying to improve practice is part of most educators practices, but what if we moved from trying to get better to getting better at getting better. Improvement science offers a method and set of tools to systematically build the know-how to reach our goals
Since 2008, Carnegie has been working to find a better way of learning how to improve. We have learned a great deal by doing, including that this work is a continuous improvement task. We invite you to join in on this ongoing process.
In a recent article, High Tech High faculty and administrators highlight how they used the tools and mindsets of improvement science to increase the number of African American and Latino male students who directly attend 4-year institutions.
Recently, The Education Trust Writer-in-residence Karin Chenoweth wrote a review of Learning to Improve: How America’s Schools Can Get Better at Getting Better in The Huffington Post. Chenoweth notes the inability of education to learn from the collective knowledge and experience of educators. Drawing on the main ideas of the…
A recent publication cautions against using existing measures around students' personal qualities because they were primarily designed for research. Rather, new measures, including practical measures, must be developed to provide insight into this aspect of learning.
Improvement science relies on an understanding of the problem before creating solutions. Groups have found three key things helped them gain clarity on the problems and make the knowledge explicit, helping them design solutions with users, data, and will in mind.
A recent post in the Health Affairs Blog discusses the challenges of scaling interventions, a problem known as the “Iron Law” of evaluation. The piece outlines four reasons why the “Iron Law” occurs and how we can reduce its effect.
Don Berwick, founder of the Institute for Healthcare Improvement (IHI), gave an inspiring keynote at the Summit on Improvement in Education focusing on shifting from inspection-oriented improvement to change-oriented improvement to reach our goals.
On March 3, Learning to Improve, a new book by Anthony S. Bryk, Louis M. Gomez, Alicia Grunow, and Paul G. LeMahieu, will be released. The book outlines how Networked Improvement Communities (NICs) offer a new model for improving our schools.
Using ideas borrowed from improvement science, Learning to Improve presents a process of disciplined inquiry that can be combined with the use of networks to identify, adapt, and successfully scale up promising interventions in education.