This is the first book to provide a step-by-step guide to the methods and practical aspects of acquiring, modelling, storing and sharing knowledge. The reader is led through 47 steps from the inception of a project to its conclusion. Each is described in terms of reasons, required resources, activities, and solutions to common problems. In addition, each step has a checklist which tracks the key items that should be achieved.
In this volume organizational learning theory is used to analyse various practices of managing and facilitating knowledge sharing within companies. Experiences with three types of knowledge sharing, namely knowledge acquisition, knowledge reuse, and knowledge creation, at ten large companies are discussed and analyzed. This critical analysis leads to the identification of traps and obstacles when managing knowledge sharing, when supporting knowledge sharing with IT tools, and when organizations try to learn from knowledge sharing practices. The identification of these risks is followed by a discussion of how organizations can avoid them. This work will be of interest to researchers and practitioners working in organization science and business administration. Also, consultants and organizations at large will find the book useful as it will provide them with insights into how other organizations manage and facilitate knowledge sharing and how potential failures can be prevented.
From novice to expert: tools and techniques to make your learning faster, deeper, and stronger. Time to master the most important meta-skill of all: learning. Too bad you didn’t have this book years ago! Scientifically-proven, step-by-step methods for effective absorption, retention, and comprehension. Rapid Knowledge Acquisition & Synthesis is a collection of the very best methods to get ahead of the typical learning curve. You’ll learn how to create an environment for information absorption at shocking speeds. From scientifically-validated tips to best practices of some of the world’s smartest polymaths, you’ll get it all. Faster, deeper, stronger. Directly from one of self-education's thought leaders. Peter Hollins has studied psychology and peak human performance for over a dozen years and is a bestselling author. He has worked with a multitude of individuals to unlock their potential and path towards success. His writing draws on his academic, coaching, and research experience. Clear guidelines for every stage of the learning process. •The most common obstacles of learning and how to overcome them. •Single loop learning, double loop learning, and how to fundamentally change your comprehension mindset. •Best practices for reading, note-taking, absorbing knowledge, and making things stick inside your brain. •The most strategic questions to ask that will make information become memorable and 3d. •Dual coding, REM sleep, shifting locations, the efficacy of variety, and catching your own blind spots. Unlock the most important meta-skill of all: learning. Make yourself recession-proof, upgrade-proof, competition-proof, absent-minded-proof, and stagnant-proof.
In 1963 an initial attempt was made in my The Psychology of Meaningful Verbal Learning to present a cognitive theory of meaningful as opposed to rote verbal learning. It was based on the proposition that the acquisition and retention of knowl edge (particularly of verbal knowledge as, for example, in school, or subject-matter learning) is the product of an active, integrative, interactional process between instructional material (subject matter) and relevant ideas in the leamer's cognitive structure to which the new ideas are relatable in particular ways. This book is a full-scale revision of my 1963 monograph, The Psychology of Meaningful Verbal Learning, in the sense that it addresses the major aforementioned and hitherto unmet goals by providing for an expansion, clarification, differentiation, and sharper focusing of the principal psychological variables and processes involved in meaningful learning and retention, i.e., for their interrelationships and interactions leading to the generation of new meanings in the individual learner. The preparation of this new monograph was largely necessitated by the virtual collapse of the neobe havioristic theoretical orientation to learning during the previous forty years; and by the meteoric rise in the seventies and beyond of constructivist approaches to learning theory.
Promoting organizational knowledge is an important consideration for any business looking toward the future. Understanding the dynamics of knowledge-intensive organizations is a crucial first step in establishing a strong knowledge base for any organization. Organizational Knowledge Dynamics: Managing Knowledge Creation, Acquisition, Sharing, and Transformation introduces the idea that organizational knowledge is composed of three knowledge fields: cognitive knowledge, emotional knowledge, and spiritual knowledge. This book is useful for graduate students, researchers, and practitioners in knowledge management, intellectual capital, human resources management, change management, and strategic management.
While the importance of knowledge for effective instruction has long been acknowledged, and the concept and structure of mathematics knowledge for teaching are far from being new, the process of such knowledge acquisition and improvement remains underexplored empirically and theoretically. The difficulty can well associate with the fact that different education systems embody different values for what mathematics teachers need to learn and how they can be assisted to develop their knowledge. To improve this situation with needed consideration about a system context and policies, How Chinese Acquire and Improve Mathematics Knowledge for Teaching takes a unique approach to present new research that views knowledge acquisition and improvement as part of teachers’ life-long professional learning process in China. The book includes such chapters that can help readers to make possible connections of teachers’ mathematical knowledge for teaching in China with educational policies and program structures for mathematics teacher education in that system context. How Chinese Acquire and Improve Mathematics Knowledge for Teaching brings invaluable inspirations and insights to mathematics educators and teacher educators who wish to help teachers improve their knowledge, and to researchers who study this important topic beyond a static knowledge conception.
There are many reasons to be curious about the way people learn, and the past several decades have seen an explosion of research that has important implications for individual learning, schooling, workforce training, and policy. In 2000, How People Learn: Brain, Mind, Experience, and School: Expanded Edition was published and its influence has been wide and deep. The report summarized insights on the nature of learning in school-aged children; described principles for the design of effective learning environments; and provided examples of how that could be implemented in the classroom. Since then, researchers have continued to investigate the nature of learning and have generated new findings related to the neurological processes involved in learning, individual and cultural variability related to learning, and educational technologies. In addition to expanding scientific understanding of the mechanisms of learning and how the brain adapts throughout the lifespan, there have been important discoveries about influences on learning, particularly sociocultural factors and the structure of learning environments. How People Learn II: Learners, Contexts, and Cultures provides a much-needed update incorporating insights gained from this research over the past decade. The book expands on the foundation laid out in the 2000 report and takes an in-depth look at the constellation of influences that affect individual learning. How People Learn II will become an indispensable resource to understand learning throughout the lifespan for educators of students and adults.
This book presents a practical view of the knowledge acquisition process, its methodologies and techniques, in order to enable readers to develop expert systems knowledge bases more effectively. It strikes a balance between presenting (1) summaries of research in the field of knowledge acquisition and (2) methodologies and techniques that have been applied and tested on numerous programs in various contexts. Written for novice knowledge engineers or others tasked with acquiring knowledge for the systematic development of expert systems. The presentation of the material does not presume a background in either computer science or artificial intelligence.
An adjunct to the increased emphasis on developing students' critical thinking and higher order skills is the need for methods to monitor and evaluate these abilities. These papers provide insight into current techniques and examine possibilities for the future. The contributors to Diagnostic Monitoring of Skill and Knowledge Acquisition focus on two beliefs: that new kinds of tests and assessment methods are needed; and that instruction and learning can be improved by developing new assessment methods based on work in cognitive science.
