Learning Knowledge

This textbook is founded on the idea of learning as knowledge construction and the implications of this for the nature of knowledge and for the way it is acquired. The first section examines the nature of knowledge from several perspectives. The dominant theme is that views of learning closely relate to views of knowledge. The second section considers what it is to be knowledgeable. Expertise and types of knowledge are considered using examples from different phases of education and subject areas. The final part of the book focuses on learning within domains and what this means from different subject perspectives. Learning and Knowledge is a Course Reader for The Open University course E836 Learni

This book places knowledge, learning and innovation at the heart of cross-sector collaborations. Collaboration for innovation is a topic that has attracted widespread interest from academics, business strategists and government officials. To date the collaborations have focused on the performance management process and more specifically on how to encourage collaboration. However, businesses across the world are realizing that for cross-sector collaboration to be successful, it is necessary for firms to share knowledge and innovation through a process of learning. The book contributes to this by providing fresh insights into ways to stimulate cross-sector collaboration. It presents diverse methods and approaches to unify the dimensions of knowledge, learning and innovation and discusses how collaboration can be created, sustained, and expanded.

Knowledge in Motion brings together archaeologists, historians, and cultural anthropologists to examine communities from around the globe as they engage in a range of practices constituting situated learned and knowledge transmission. The contributors lay the groundwork to forge productive theories and methodologies for exploring situated learning and its broad-ranging outcomes.

The ability to learn from experience is a fundamental requirement for intelligence. One of the most basic characteristics of human intelligence is that people can learn from problem solving, so that they become more adept at solving problems in a given domain as they gain experience. This book investigates how computers may be programmed so that they too can learn from experience. Specifically, the aim is to take a very general, but inefficient, problem solving system and train it on a set of problems from a given domain, so that it can transform itself into a specialized, efficient problem solver for that domain. on a knowledge-intensive Recently there has been considerable progress made learning approach, explanation-based learning (EBL), that brings us closer to this possibility. As demonstrated in this book, EBL can be used to analyze a problem solving episode in order to acquire control knowledge. Control knowledge guides the problem solver's search by indicating the best alternatives to pursue at each choice point. An EBL system can produce domain specific control knowledge by explaining why the choices made during a problem solving episode were, or were not, appropriate.

This book establishes constructivist, interpretivist, and linguistic approaches based on conventions about the nature of qualitative and text data, the author’s influence on text interpretation, and the validity checks used to justify text interpretations. Vast quantities of text and qualitative data in organizations often go unexplored. Text analytics outlined in this book allow readers to understand the process of converting unstructured text data into meaningful data for analysis in order to measure employee opinions, feedback, and reviews through sentiment analysis to support fact-based decision making. The methods involve using NVivo and RapidMiner software to perform lexical analysis, categorization, clustering, pattern recognition, tagging, annotation, memo creation, information extraction, association analysis, and visualization. The methodological approach in the book uses innovation theory as a sensitizing concept to lay the foundation for the analysis of research data, suggesting approaches for empirical exploration of organizational learning, knowledge management, and innovation practices amongst geographically dispersed individuals and team members. Based on data obtained from a private educational organization that has offices dispersed across Asia through focus group discussions and interviews on these topics, the author highlights the need for integrating organizational learning, knowledge management, and innovation to improve organizational performance, exploring perspectives on collective relationships and networks, organizational characteristics and structures, and tacit and overt values which influence such innovation initiatives. In the process, the author puts forward a new theory which is built on three themes: relationship and networks, knowledge sharing mechanisms, and the role of social cognitive schema that facilitate emergent learning, knowledge management, and innovation.

Research on organisational learning, knowledge and capabilities has indeed become one of the most fruitful and interesting areas in the field of management, and has not only improved our understanding of organisations, but also helped them to face the new challenges of our turbulent age. Are our organizations learning to face a new age? What kinds of learning and knowledge are necessary to understand our age? What new lights can help us to understand organisational learning and knowledge? Are there shades? Shedding New Lights dispels uncertainties and provides a better observation and understanding of this particular phenomenon. This book includes an overview of the major topics on organisational learning, knowledge and capabilities. There are three parts: the first focuses on organisational learning, and particularly on practice and communities of practice. The second part deals with knowledge creation and transfer, two main knowledge management processes that are extremely relevant for firm performance. Finally, the third part examines the phenomenon of ambidexterity (explorative and exploitative learning) and the absorptive capacity of the firm.

Whether you are new to British Columbia, taking a re-examination, or brushing up on your driving skills, the Learn to Drive Smart guide gives you the basic information to help you drive safely. The guide will also help you prepare for the knowledge test, and Class 7 and Class 5 road tests. * Google Play may require a credit card to activate your account. ICBC does not collect your credit card information and the driving guides are free. Please see Google Play Terms of Service for more information.