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A. INTRODUCTION AND BACKGROUNDl,2 This report reviews and interprets research on the nature and magnitude of the effects of those factors which influence how well knowledge and skills (K&S) are retained over relatively long periods of nonuse. Our interest lies in the kinds of knowledge domains and skills that military personnel must master to function effectively on their jobs. The practical concern impelling this study is that K&S degradation or loss (which we will refer to as "decay") can and does occur, often and severely enough, to jeopardize military preparedness. There are occasions in all the military services when personnel who have just completed their training do not receive an opportunity to practice or use their new capabilities for weeks or months. In the case of reservists who may be called back to active duty, the period of nonuse of relevant military job skills may be counted in terms of years. B. OBJECTIVES The overall objective is to critically analyze the relevant scientific literature which relates the processes involved in learning to those of memory, taking into account the characteristics of the learner and the learning tasks. More specifically, we have focused on the following sub-objectives: 1. Identify, describe and rank the influence and the interactions of the important major variables that affect long-term retention (LTR); 1 I am indebted to Dr. Jesse Orlansky, Institute for Defense Analyses, for his encouragement and guidance through all phases of this report.
The ability to retain a learned skill or habit over extended time periods is a problem which has, as yet, not been too thoroughly explored. Reviewing those articles which seem to relate either directly or peripherally to long-term retention of learned motor behavior indicates that the number of variables of possible importance is quite large, and that in general only limited research has been conducted with any one of these given variables. The variables appear to fall into four general classes: those dealing with the type of task, those concerned with learning parameters, those concerned with retention interval parameters, and those concerned with recall parameters. Research under each category is reviewed and commented on, and suggestions are made that certain variables (such as task "organization" and the scoring method used) should be concerned as key variables in any research program dealing with the long-term retention of skills.
This report reviews factors that influence how well knowledge and skills are retained over relatively long periods of nonuse. A cognitively oriented interpretation is applied to prior findings and beliefs about the nature of long-term retention. The report identifies instructional strategies (conditions of learning) which promote long-term retention and do not have an adverse impact on learning.
By analyzing the results of experiments that use a wide variety of training tasks including those that were predominantly perceptual, cognitive, or motoric, this volume answers such questions as: Why do some people forget certain skills faster than others? What kind of training helps people retain new skills longer? Inspired by the work of Harry Bahrick and the concept of "permastore," the contributors explore the Stroop effect, mental calculation, vocabulary retention, contextual interference effects, autobiographical memory, and target detection. They also summarize an investigation on specificity and transfer in choice reaction time tasks. In each chapter, the authors explore how the degree to which reinstatement of training procedures during retention and transfer tests accounts for both durability and specificity of training. Researchers and administrators in education and training will find important implications in this book for enhancing the retention of knowledge of skills. "You have to read this book. Anyone interested in training will want to read it. This book provides the theoretical bases of the acquisition of durable skills for the next decade. It advances and demonstrates a new principle of skill learning that will prove to be as important as the encoding specificity principle and its corollary, the principle of transfer appropriate processing. This new principle is that highly practiced skill learning will be durable when the retention test embodies the procedures employed during acquisition. This principle, and the other important findings reported in this text, will have a great impact on the evolution of memory theory and on the wide range of applications." --Douglas Hermann, University of Maryland
To most of us, learning something "the hard way" implies wasted time and effort. Good teaching, we believe, should be creatively tailored to the different learning styles of students and should use strategies that make learning easier. Make It Stick turns fashionable ideas like these on their head. Drawing on recent discoveries in cognitive psychology and other disciplines, the authors offer concrete techniques for becoming more productive learners. Memory plays a central role in our ability to carry out complex cognitive tasks, such as applying knowledge to problems never before encountered and drawing inferences from facts already known. New insights into how memory is encoded, consolidated, and later retrieved have led to a better understanding of how we learn. Grappling with the impediments that make learning challenging leads both to more complex mastery and better retention of what was learned. Many common study habits and practice routines turn out to be counterproductive. Underlining and highlighting, rereading, cramming, and single-minded repetition of new skills create the illusion of mastery, but gains fade quickly. More complex and durable learning come from self-testing, introducing certain difficulties in practice, waiting to re-study new material until a little forgetting has set in, and interleaving the practice of one skill or topic with another. Speaking most urgently to students, teachers, trainers, and athletes, Make It Stick will appeal to all those interested in the challenge of lifelong learning and self-improvement.
Unleash powerful teaching and the science of learning in your classroom Powerful Teaching: Unleash the Science of Learning empowers educators to harness rigorous research on how students learn and unleash it in their classrooms. In this book, cognitive scientist Pooja K. Agarwal, Ph.D., and veteran K–12 teacher Patrice M. Bain, Ed.S., decipher cognitive science research and illustrate ways to successfully apply the science of learning in classrooms settings. This practical resource is filled with evidence-based strategies that are easily implemented in less than a minute—without additional prepping, grading, or funding! Research demonstrates that these powerful strategies raise student achievement by a letter grade or more; boost learning for diverse students, grade levels, and subject areas; and enhance students’ higher order learning and transfer of knowledge beyond the classroom. Drawing on a fifteen-year scientist-teacher collaboration, more than 100 years of research on learning, and rich experiences from educators in K–12 and higher education, the authors present highly accessible step-by-step guidance on how to transform teaching with four essential strategies: Retrieval practice, spacing, interleaving, and feedback-driven metacognition. With Powerful Teaching, you will: Develop a deep understanding of powerful teaching strategies based on the science of learning Gain insight from real-world examples of how evidence-based strategies are being implemented in a variety of academic settings Think critically about your current teaching practices from a research-based perspective Develop tools to share the science of learning with students and parents, ensuring success inside and outside the classroom Powerful Teaching: Unleash the Science of Learning is an indispensable resource for educators who want to take their instruction to the next level. Equipped with scientific knowledge and evidence-based tools, turn your teaching into powerful teaching and unleash student learning in your classroom.
Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.
Products, technologies, and workplaces change so quickly today that everyone is continually learning. Many of us are also teaching, even when it's not in our job descriptions. Whether it's giving a presentation, writing documentation, or creating a website or blog, we need and want to share our knowledge with other people. But if you've ever fallen asleep over a boring textbook, or fast-forwarded through a tedious e-learning exercise, you know that creating a great learning experience is harder than it seems. In Design For How People Learn, you'll discover how to use the key principles behind learning, memory, and attention to create materials that enable your audience to both gain and retain the knowledge and skills you're sharing. Using accessible visual metaphors and concrete methods and examples, Design For How People Learn will teach you how to leverage the fundamental concepts of instructional design both to improve your own learning and to engage your audience.
This book introduces readers to principles and research findings about human learning and cognition in an engaging, conversational manner.