Download or read book Generalization of Knowledge written by Marie T. Banich and published by Psychology Press. This book was released on 2011-01-07 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume takes a multidisciplinary perspective on generalization of knowledge from several fields associated with Cognitive Science, including Cognitive Neuroscience, Computer Science, Education, Linguistics, Developmental Science, and Speech, Language and Hearing Sciences. The aim is to derive general principles from triangulation across different disciplines and approaches.
Download or read book Generalization of Knowledge written by Donna Caccamise and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Map Generalization written by Barbara Pfeil Buttenfield and published by Longman Group UK Limited. This book was released on 1991 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Articles based on papers delivered at a symposium held during April 1990 in Syracuse, N.Y.
Download or read book Subjectivity and Knowledge written by Charlotte Højholt and published by Springer. This book was released on 2019-12-02 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on a collection of chapters of leading scholars in the field, the purpose of this book is to intervene in current debates on the scientific foundation of psychological theory, methodology and research practice, and to offer an in-depth, situated and contextual understanding of psychological generalization. This book aims to contribute to a theoretical and methodological vocabulary which includes the subjective dimension of human life in psychological inquiry, and roots processes of generalization in persons’ common, social, cultural and material practices of everyday living. The volume is directed to students, professors, and researchers in psychology as well as to scholars in other branches of the humanities and social science where psychology and especially subjectivity, everyday practice and the development of psychological knowledge is an issue. The volume will be of particular interest to scholars in the field of cultural psychology, critical psychology, psychology of everyday life as well as psychological methodology and qualitative studies of everyday life including the various critical undergraduate, graduate, master, and PhD programs. The book will also be of special interest for scholars working in social psychology, history of psychology, general psychology, theoretical psychology, environmental psychology and political psychology.
Download or read book Generalization of Knowledge written by Marie T. Banich and published by Routledge. This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is an ambitious interdisciplinary undertaking to shed light on an important cognitive process. Never before have biological, developmental, and educational perspectives on knowledge generalization been brought together under one cover. This effort is a model for future interdisciplinary approaches to studying cognition and learning."---Tamara Sumner, Ph.D. --
Download or read book How People Learn II written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-09-27 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Mathematical Knowledge Its Growth Through Teaching written by Alan Bishop and published by Springer Science & Business Media. This book was released on 2013-11-27 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the first BACOMET volume different perspectives on issues concerning teacher education in mathematics were presented (B. Christiansen, A. G. Howson and M. Otte, Perspectives on Mathematics Education, Reidel, Dordrecht, 1986). Underlying all of them was the fundamental problem area of the relationships between mathematical knowledge and the teaching and learning processes. The subsequent project BACOMET 2, whose outcomes are presented in this book, continued this work, especially by focusing on the genesis of mathematical knowledge in the classroom. The book developed over the period 1985-9 through several meetings, much discussion and considerable writing and redrafting. Our major concern was to try to analyse what we considered to be the most significant aspects of the relationships in order to enable mathematics educators to be better able to handle the kinds of complex issues facing all mathematics educators as we approach the end of the twentieth century. With access to mathematics education widening all the time, with a multi tude of new materials and resources being available each year, with complex cultural and social interactions creating a fluctuating context of education, with all manner of technology becoming more and more significant, and with both informal education (through media of different kinds) and non formal education (courses of training etc. ) growing apace, the nature of formal mathematical education is increasingly needing analysis.
Download or read book Knowledge Engineering written by Gheorghe Tecuci and published by Cambridge University Press. This book was released on 2016-09-08 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a significant advancement in the theory and practice of knowledge engineering, the discipline concerned with the development of intelligent agents that use knowledge and reasoning to perform problem solving and decision-making tasks. It covers the main stages in the development of a knowledge-based agent: understanding the application domain, modeling problem solving in that domain, developing the ontology, learning the reasoning rules, and testing the agent. The book focuses on a special class of agents: cognitive assistants for evidence-based reasoning that learn complex problem-solving expertise directly from human experts, support experts, and nonexperts in problem solving and decision making, and teach their problem-solving expertise to students. A powerful learning agent shell, Disciple-EBR, is included with the book, enabling students, practitioners, and researchers to develop cognitive assistants rapidly in a wide variety of domains that require evidence-based reasoning, including intelligence analysis, cybersecurity, law, forensics, medicine, and education.
Download or read book Concept Based Curriculum and Instruction for the Thinking Classroom written by H. Lynn Erickson and published by Corwin Press. This book was released on 2007 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This indispensable guide combines proven curriculum design with teaching methods that encourage students to learn concepts as well as content and skills for deep understanding across all subject areas.
Download or read book Constructions at Work written by Adele E. Goldberg and published by Oxford University Press, USA. This book was released on 2006 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes selected classic and contemporary papers in four areas, this text introduces each field, providing technical background for the non-specialist and explaining the underlying connections across the disciplines.
Download or read book Knowledge Based and Intelligent Information and Engineering Systems Part IV written by Andreas König and published by Springer. This book was released on 2011-09-15 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set LNAI 6881-LNAI 6884 constitutes the refereed proceedings of the 15th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2011, held in Kaiserslautern, Germany, in September 2011. Part 4: The total of 244 high-quality papers presented were carefully reviewed and selected from numerous submissions. The 46 papers of Part 4 are organized in topical sections on human activity support in knowledge society, knowledge-based interface systems, model-based computing for innovative engineering, document analysis and knowledge science, immunity-based systems, natural language visualisation advances in theory and application of hybrid intelligent systems.
Download or read book Doing Interviews written by Svend Brinkmann and published by SAGE. This book was released on 2018-09-03 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a concise introduction to the richness and scope of interviewing in social science research, teaching the craft of interview research with practical, hands-on guidance. Incorporating discussion of the wide variety of methods in interview-based research and the different approaches to reading the data, this book will help you to navigate the broad field of qualitative research with confidence and get out there and start collecting your data.
Download or read book A New Paradigm of Knowledge Engineering by Soft Computing written by Liya Ding and published by World Scientific. This book was released on 2001 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing (SC) consists of several computing paradigms, including neural networks, fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as genetic algorithms. The integration of those constituent methodologies forms the core of SC. In addition, the synergy allows SC to incorporate human knowledge effectively, deal with imprecision and uncertainty, and learn to adapt to unknown or changing environments for better performance. Together with other modern technologies, SC and its applications exert unprecedented influence on intelligent systems that mimic human intelligence in thinking, learning, reasoning, and many other aspects. Knowledge engineering (KE), which deals with knowledge acquisition, representation, validation, inferencing, explanation, and maintenance, has made significant progress recently, owing to the indefatigable efforts of researchers. Undoubtedly, the hot topics of data mining and knowledge/data discovery have injected new life into the classical AI world. This book tells readers how KE has been influenced and extended by SC and how SC will be helpful in pushing the frontier of KE further. It is intended for researchers and graduate students to use as a reference in the study of knowledge engineering and intelligent systems. The reader is expected to have a basic knowledge of fuzzy logic, neural networks, genetic algorithms, and knowledge-based systems. Contents: Knowledge Engineering and Soft Computing OCo An Introduction (L-Y Ding); Fuzzy Knowledge-Based Systems: Linguistic Integrity: A Framework for Fuzzy Modeling OCo AFRELI Algorithm (J Espinosa & J Vandewalle); A New Approach to Acquisition of Comprehensible Fuzzy Rules (H Ohno & T Furuhashi); Fuzzy Rule Generation with Fuzzy Singleton-Type Reasoning Method (Y Shi & M Mizumoto); Antecedent Validity Adaptation Principle for Table Look-Up Scheme (P-T Chan & A B Rad); Fuzzy Spline Interpolation in Sparse Fuzzy Rule Bases (M F Kawaguchi & M Miyakoshi); Revision Principle Applied for Approximate Reasoning (L-Y Ding et al.); Handling Null Queries with Compound Fuzzy Attributes (S-L Wang & Y-J Tsai); Fuzzy System Description Language (K Otsuka et al.); Knowledge Representation, Integration, and Discovery by Soft Computing: Knowledge Representation and Similarity Measure in Learning a Vague Legal Concept (M Q Xu et al.); Trend Fuzzy Sets and Recurrent Fuzzy Rules for Ordered Dataset Modelling (J F Baldwin et al.); Approaches to the Design of Classification Systems from Numerical Data and Linguistic Knowledge (H Ishibuchi et al.); A Clustering Based on Self-Organizing Map and Knowledge Discovery by Neural Network (K Nakagawa et al.); Probabilistic Rough Induction (J-Z Dong et al.); Data Mining via Linguistic Summaries of Databases: An Interactive Approach (J Kacprzyk & S Zadrozny); and other papers. Readership: Graduate students, researchers and lecturers in knowledge engineering and soft computing."
Download or read book Machine Learning and Knowledge Discovery in Databases Research Track written by Nuria Oliver and published by Springer Nature. This book was released on 2021-09-09 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions. The volumes are organized in topical sections as follows: Research Track: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications. Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics. Applied Data Science Track: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation. Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.
Download or read book Current Trends in Knowledge Acquisition written by Bob Wielinga and published by IOS Press. This book was released on 1990 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge acquisition has become a major area of artificial intelligence and cognitive science research. The papers in this book show that the area of knowledge acquisition for knowledge-based systems is still a diverse field in which a large number of research topics are being addressed. However, several main themes run through the papers. First, the issues of integrating knowledge from different sources and K.A. tools is a salient topic in many papers. A second major topic in the papers is that of knowledge modelling. Research in knowledge-based systems emphasises the use of generic models of reasoning and its underlying knowledge. An important trend in the area of knowledge modelling aims at the formalisation of knowledge models. Where the field of knowledge acquisition was without tools and techniques years ago, now there is a rapidly growing body of techniques and tools. Apart from the integrated workbenches already mentioned above, several papers in this book present new tools. Although knowledge acquisition and machine learning have been considered as separate subfields of AI, there is a tendency for the two fields to come together. This publication combines machine learning techniques with more conventional knowledge elicitation techniques. A framework is presented in which reasoning, problem solving and learning together form a knowledge intensive system that can acquire knowledge from its own experience.
Download or read book An Analytical Approach To Evidence written by Ronald Jay Allen and published by Aspen Publishing. This book was released on 2021-09-14 with total page 1072 pages. Available in PDF, EPUB and Kindle. Book excerpt: Buy a new version of this textbook and receive access to the Connected eBook with Study Center on CasebookConnect, including: lifetime access to the online ebook with highlight, annotation, and search capabilities; practice questions from your favorite study aids; an outline tool and other helpful resources. Connected eBooks provide what you need most to be successful in your law school classes. Learn more about Connected eBooks. A problem-based Evidence coursebook that presents the Federal Rules of Evidence in context, illuminates the rules’ underlying theories and perspectives, and provides a fully updated and systematic account of the law in a student-friendly hornbook-style format. The material is accompanied with straightforward and systematic explanations. Lively discussion and interesting problems (rather than numerous appellate case excerpts) engage students in understanding the principles, policies, and debates that surround evidence law. The book also contains self-assessment sections in each chapter that teach students how to identify and resolve legal issues and succeed in the final exam. To sum up: this book stands out as “all in one”: it gives students of evidence an up-to-date comprehensive account of the law; it explains complex evidentiary issues in a straightforward and systematic fashion; and it also tells students what their exam will look like and how to succeed in it. New to the Seventh Edition: A new case file to introduce numerous evidence issues throughout the semester, with spin-off problems in each chapter. Updated doctrine, including application of evidence rules to electronic evidence and the online environment. Professors and students will benefit from: An opening case file introducing students to the process of analyzing evidence in terms of the essential elements of a legal dispute, serving as an effective introduction to much of the course to follow A wide range of real-world problems exposes students to the depth and complexity of the Rules of Evidence Every chapter addresses basic rules interpretation, essential policy, and connects theory to practice Assessment problems (modeled on exam questions) at the end of each chapter, including answers with explanations Teaching materials Include: Updated and streamlined Teacher’s Manual, including sample syllabi for both 4- and 3-credit courses, transition guide for each chapter, teaching guidance, and answers to all the problems in the book Problems Supplement that includes most problems deleted from prior editions
Download or read book Teaching for Transfer written by Anne McKeough and published by Routledge. This book was released on 2013-12-16 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
