Centers of Pedagogy: New Structures for Educational Renewal

This volume in the AgAnda for Education in a Democracy series examines a growing movement of schools and universities collaborating in ways that break down traditional barriers and promote systemic educational renewal. Centers of Pedagogy offers a practical framework for advancing university-school collaboration on educational improvement. The authors draw from their diverse experiences as university deans and focus on the Centers of Pedagogy model, a strategy conceived by John Goodlad and refined by participating institutions in the National Network for Educational Renewal. Under this model, faculty in teacher education, the arts and sciences, and the P-12 schools work together to provide aspiring teachers with a well-rounded education. This collaboration ultimately improves school curricula, teaching practice, and the education of educators. Featuring case examples from a variety of successful partnership programs, this book studies the policies, organizational structures, and other key conditions needed to establish such vital centers

Inverse Parameter Identification in Solid Mechanics Using Bayesian Statistics, Response Surfaces and Minimization

This paper presents a methodology designed to calibrate a simple Finite Element (FE) model in order to accurately reproduce the mechanical behavior of a material. This desired behavior is based on experimental measurements obtained from a three-point bending test. In order to perform this inverse analysis with a feasible computational effort, the typical FE solution of the forward problem is replaced by a meta-model, based on a response surface approximation. This simplified model still allows for accurate prediction of the output of the model, but at a negligible cost. The inverse problem is solved through a Bayesian perspective, by using the Metropolis-Hastings algorithm. The results present a good agreement with results obtained by a L2-norm minimization approach, also presented here. The validation of these results is performed by running a FE simulation with the estimated parameters and the results accurately fitted the experimental data