This text addresses the problem of how our past or current learning influences, is generalised and is applied or adapted to similar or new situations. It illustrates how transfer of learning can be promoted in the classroom and everyday life.

"It is a pleasure to have a full length treatise on this most important topic, and may this focus on transfer become much more debated, taught, and valued in our schools." - John Hattie Teach students to use their learning to unlock new situations. How do you prepare your students for a future that you can’t see? And how do you do it without exhausting yourself? Teachers need a framework that allows them to keep pace with our rapidly changing world without having to overhaul everything they do. Learning That Transfers empowers teachers and curriculum designers alike to harness the critical concepts of traditional disciplines while building students’ capacity to navigate, interpret, and transfer their learning to solve novel and complex modern problems. Using a backwards design approach, this hands-on guide walks teachers step-by-step through the process of identifying curricular goals, establishing assessment targets, and planning curriculum and instruction that facilitates the transfer of learning to new and challenging situations. Key features include Thinking prompts to spur reflection and inform curricular planning and design. Next-day strategies that offer tips for practical, immediate action in the classroom. Design steps that outline critical moments in creating curriculum for learning that transfers. Links to case studies, discipline-specific examples, and podcast interviews with educators. A companion website that hosts templates, planning guides, and flexible options for adapting current curriculum documents. Using a framework that combines standards and the best available research on how we learn, design curriculum and instruction that prepares your students to meet the challenges of an uncertain future, while addressing the unique needs of your school community.

This book provides a common language for and makes connections between transfer research in mathematics education and transfer research in related fields. It generates renewed excitement for and increased visibility of transfer research, by showcasing and aggregating leading-edge research from the transfer research community. This book also helps to establish transfer as a sub-field of research within mathematics education and extends and refines alternate perspectives on the transfer of learning. The book provides an overview of current knowledge in the field as well as informs future transfer research.

Since the mid-1970s, scientific and educational research has left a gap in the field of basic and applied research on transfer of learning. This book fills the gap with state-of-the-art information on recent research in the field, emphasizing methodological paradigms and interpretive concepts based on contemporary cognitive/information processing approaches to the study of human behavior. Issues discussed include how transfer is measured, how its direction and magnitude are determined, how training for transfer differs from training for acquisition, and whether different principles of transfer apply to motor, cognitive, and meta-cognitive processes.

Author is an alumna of Evanston Township High School, class of 1944.

The book addresses a crucial issue for all involved in education and training: the transfer of learning to new and different contexts. Educators, employers and learners face the problem of ensuring that what is learnt in the classroom is able to be adapted and used in the workplace. It focuses on adult learners in professional and vocational contexts. The authors provide an accessible book on the transfer of learning which draws on multi-disciplinary perspectives from education, psychology and management. The Transfer of Learning will be useful both for postgraduate students and for practitioners wanting to deepen their understanding of transfer and for those interested in practical applications. It combines theory and practice from international research and the authors' own case studies of transfer involving learners engaged in professional development and study towards qualifications. Theories of adult learning, change and lifelong learning are discussed in relation to the transfer of learning. The purpose of this book is to emphasise to tertiary educators and trainers the importance of transfer and in doing so highlight the participants' voices as central foci in coming to an understanding of the process. By doing this it balances the literature which has to date emphasized transfer from a trainer's and/or organization's perspective. There has been little if any substantive material on tertiary transfer issues and yet demands are increasing for tertiary education providers to be more accountable and more focused on developing students' ability to use their learning in everyday work situations. The book is unique in that it adopts a phenomenological perspective and underscores the significance of the participants' voices in understanding issues.

Foreword, Robert Dufresne, Jose Mestre and James M. Royer. Re-Framing the Evaluation of Education: Assessing Whether Learning Transfers Beyond the Classroom, Susan M. Barnett and Stephen J. Ceci. How Far Can Transfer Go? Making Transfer Happen Across Physical, Temporal, and Conceptual Space, Diane Halpern and Milt Hakel.

The transfer of learning is universally accepted as the ultimate aim of teaching. Facilitating knowledge transfer has perplexed educators and psychologists over time and across theoretical frameworks; it remains a central issue for today's practitioners and theorists. This volume examines the reasons for past failures and offers a reconceptualization of the notion of knowledge transfer, its problems and limitations, as well as its possibilities. Leading scholars outline programs of instruction that have effectively produced transfer at a variety of levels from kindergarten to university. They also explore a broad range of issues related to learning transfer including conceptual development, domain-specific knowledge, learning strategies, communities of learners, and disposition. The work of these contributors epitomizes theory-practice integration and enables the reader to review the reciprocal relation between the two that is so essential to good theorizing and effective teaching.

Improving Learning Transfer in Organizations features contributions from leading experts in the field learning transfer, and offers the most current information, ideas, and theories on the topic and aptly illustrates how to put transfer systems into action. In this book, the authors move beyond explanation to intervention by contributing their most recent thinking on how best to intervene in organizational contexts to influence the transfer of learning. Written for chief learning officers, training and development practitioners, management development professionals, and human resource management practitioners, this important volume shows how to create systems that ensure employees are getting and retaining the information, skills, and knowledge necessary to accomplish tasks on the job. Improving Learning Transfer in Organizations addresses learning transfer on both the individual and organizational level. This volume shows how to diagnose learning transfer systems, create a transfer-ready profile, and assess and place employees to maximize transfer. The book includes information on how to determine what process should be followed to design an organization-specific learning transfer system intervention. The authors focus on the actual learning process and show how to use front-end analysis to avoid transfer problems. In addition, they outline the issues associated with such popular work-based learning initiatives as action learning and communities of practice, and they also present applications on learning transfer within e-learning and team training contexts.

Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available. This makes such systems more reliable and robust, keeping the machine learning model faced with unforeseeable changes from deviating too much from expected performance. At an enterprise level, transfer learning allows knowledge to be reused so experience gained once can be repeatedly applied to the real world. For example, a pre-trained model that takes account of user privacy can be downloaded and adapted at the edge of a computer network. This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.