This book provides a rigorous mathematical treatment of the non-linear stochastic filtering problem using modern methods. Particular emphasis is placed on the theoretical analysis of numerical methods for the solution of the filtering problem via particle methods. The book should provide sufficient background to enable study of the recent literature. While no prior knowledge of stochastic filtering is required, readers are assumed to be familiar with measure theory, probability theory and the basics of stochastic processes. Most of the technical results that are required are stated and proved in the appendices. Exercises and solutions are included.

The Self-Organizing School provides ground-breaking insights and guidance about how schools can fulfill their aspirations for quality and productivity in learning and teaching. The book describes a comprehensive decade long school design process and effort that improves teaching quality and student outcomes. The practical guidance and examples employed throughout the book are supported by one of the most extensive longitudinal studies of a school reform process, including data from over 1600 classroom observations, 12,000 student evaluations and research studies of school change, technology use, student achievement, collaboration, and teacher effectiveness.

The Self-Organizing School provides ground-breaking insights and guidance about how schools can fulfill their aspirations for quality and productivity in learning and teaching. The book describes a comprehensive decade long school design process and effort that improves teaching quality and student outcomes. The practical guidance and examples employed throughout the book are supported by one of the most extensive longitudinal studies of a school reform process, including data from over 1600 classroom observations, 12,000 student evaluations and research studies of school change, technology use, student achievement, collaboration, and teacher effectiveness.

Transforming the Measurement of Learning and Teaching in Higher Education proposes a dynamic new model for educational measurement by reconceptualizing the field of learning analytics. Revolving around the agency and daily work of those in the field, this book describes how colleges and universities can be better structured for quality learning, showcases new tools for gathering emergent feedback, and demonstrates how that feedback can be used effectively across higher education organizations. Leaders and practitioners at all levels are offered new approaches for organizational and technological design that ensure the type of data and the way it is gathered serve the ultimate goal of high quality learning and teaching.

Transforming the Measurement of Learning and Teaching in Higher Education proposes a dynamic new model for educational measurement by reconceptualizing the field of learning analytics. Revolving around the agency and daily work of those in the field, this book describes how colleges and universities can be better structured for quality learning, showcases new tools for gathering emergent feedback, and demonstrates how that feedback can be used effectively across higher education organizations. Leaders and practitioners at all levels are offered new approaches for organizational and technological design that ensure the type of data and the way it is gathered serve the ultimate goal of high quality learning and teaching.

Despite immense efforts to understand schools, we know very little about the contribution they make to student learning. Further, the limited available evidence indicates that the way schools are designed, organized, and managed have only a minimal effect on student outcomes. The Self-Organizing School addresses this problem and the pressing need for reform models that go further, last longer, and posses the capacity to both respect, as well as deeply influence, what teachers and schools do. The Self-Organizing School identifies nine next-generation reform targets and articulates theory and practice for achieving these goals. In doing so, a self-organized school sets a new benchmark for evaluating site-based data and examples of a process that turns theory into practice. This includes better ways to begin a reform process and understand the roles of technology and feedback in the teaching profession. The theory and practice described in the book are backed by more than 1,600 direct classroom observations, an 8-year study of student achievement, more than 12,000 student evaluations, and a 5-year study of teacher perspectives.

Despite immense efforts to understand schools, we know very little about the contribution they make to student learning. Further, the limited available evidence indicates that the way schools are designed, organized, and managed have only a minimal effect on student outcomes. The Self-Organizing School addresses this problem and the pressing need for reform models that go further, last longer, and posses the capacity to both respect, as well as deeply influence, what teachers and schools do. The Self-Organizing School identifies nine next-generation reform targets and articulates theory and practice for achieving these goals. In doing so, a self-organized school sets a new benchmark for evaluating site-based data and examples of a process that turns theory into practice. This includes better ways to begin a reform process and understand the roles of technology and feedback in the teaching profession. The theory and practice described in the book are backed by more than 1,600 direct classroom observations, an 8-year study of student achievement, more than 12,000 student evaluations, and a 5-year study of teacher perspectives.

This book examines what collaboration means in practice, and the factors that enable effective team collaboration for learning and teaching in higher education. It explains how academics can work more collaboratively, and how universities can organise and govern themselves by means of collaboration. The book brings together current research and commentaries on collaboration in higher education to provide important guidance derived from a synthesis and evaluation of the existing empirical research and commentaries in the field. The book will benefit all readers who are interested in making their own teams and higher education organisations more collaborative. It will help them plan collaborative innovations in their organisations, identify priorities for professional capacity building, and design collaborative organisational structures.

Creating a successful and distinctive approach to learning and teaching at scale is a challenge facing all universities. This brief presents the Self-Organizing University (SOU), a transformational whole-of-organization solution for the design, delivery, and evaluation of learning and teaching in all its forms. It describes the elements of the SOU approach along with the implementation process and expected outcomes. It also explains the rationale and research base for each element of the model and how they are connected to create a university-wide model of learning and teaching. It includes guidance for anyone responsible for institutional improvement in the learning and teaching space.

This book provides a rigorous mathematical treatment of the non-linear stochastic filtering problem using modern methods. Particular emphasis is placed on the theoretical analysis of numerical methods for the solution of the filtering problem via particle methods. The book should provide sufficient background to enable study of the recent literature. While no prior knowledge of stochastic filtering is required, readers are assumed to be familiar with measure theory, probability theory and the basics of stochastic processes. Most of the technical results that are required are stated and proved in the appendices. Exercises and solutions are included.