Bøger af Alan Bain

This book focuses on enhancing teacher education quality by making evidence- informed decisions about policy, assessing quality, establishing effective strategies, and innovating teacher preparation programs. It advocates for the importance of rigorous program design and evaluation as the basis for shaping policy directions and claiming program effectiveness. The book introduces "Design for Change" (DfC), a 20-year-long collaborative effort by a group of teacher educators dedicated to improving their practices. DfC is divided into two parts: Design for Change-Teams and Process (DfC-TaP) and Design for Change-Programs and Courses (DfC-PaC). DfC-TaP explores how to form and sustain a design team of academics, emphasizing the collaborative process's value in program development. DfC-PaC delves into applying practical theory to curriculum design, mapping programs to standards, creating meaningful learning and assessment tasks, and leveraging technology. The latterincludes a chapter on software for teacher preparation program design. The book's ultimate goal is to offer a versatile framework for designing teacher education programs. The book employs evidence from longitudinal research to present generalizable concepts and structures for program developers and designers. By doing so, the book aims to contribute to the field by providing a research-based guide for building teacher education programs that enhance the overall educational experience for both faculty and students.

This book examines what collaboration means in practice, and the factors that enable effective team collaboration for learning and teaching in higher education.

This book challenges the orthodoxy of learning and teaching in higher education with an original change approach entitled the Self-Organizing University (SOU).

Creating a successful and distinctive approach to learning and teaching at scale is a challenge facing all universities. 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.

This book provides a rigorous mathematical treatment of the non-linear stochastic filtering problem using modern methods. Emphasis is placed on the theoretical analysis of numerical methods for the solution of the filtering problem via particle methods.