What is the Taguchi Loss Function and how does it apply to education? In this episode, Andrew and David talk about statistician Genichi Taguchi’s idea that the further you move from a measurable quality target, the more quality is lost, even if the item still “meets specifications.” David shows how you can apply this to education.

In this episode, David and Andrew discuss the dreaded standardized tests, including how they evolved, how they’re used (and not used) now, and what Deming said about them. David also offers practical tips for educators who want to move away from standardized tests in their classrooms.

In this episode, David and Andrew discuss going beyond solving problems in schools to preventing them from happening. David also shares a tool for finding the area where optimization of the system would have the greatest impact.

With nearly 2 million students not returning to schools and educational institutions after COVID, David and Andrew explore the question “how do we create quality education systems so students are excited to come to school – and stay there?

In this episode of our special Deming in Education series, David and Andrew talk about the difference between “continuous” and “continual” improvement – and how that applies in classrooms.

David and Andrew’s discussion of how using Deming in the classroom not only inspires achievement it also creates collaboration among excited students.

In this episode, David and Andrew continue to talk about the thorny problem of tracking student progress – grading – and how to remove it from the classroom.

David and Andrew continue their discussion on how to track student progress when you don’t use grades or other conventional methods.

Deming frequently discussed the right to joy in work and in learning. But what does that mean exactly? David P. Langford explains Deming’s intent, particularly as it applies to education.

Andrew Stotz talks with Dr. Mustafa Shraim of Ohio University about Deming’s approach to variation, comparing it to Lean and Six Sigma.