Logical Learning Theory

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Logical Learning Theory

Author : Joseph F. Rychlak
Publisher : U of Nebraska Press
ISBN 13 : 9780803239043
Total Pages : 418 pages
Book Rating : 4.2/5 (39 download)

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Book Synopsis Logical Learning Theory by : Joseph F. Rychlak

Download or read book Logical Learning Theory written by Joseph F. Rychlak and published by U of Nebraska Press. This book was released on 1994-01-01 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1989, B. F. Skinner told Joseph Rychlak that the greatest disappointment resulting from the "cognitive revolution" was the turning of the human organism into a machine. Intrigued by this statement, Rychlak decided that after many years of formulation it was time to present his fundamentally teleological view of the human being, which he calls the "logical learning theory" (LLT). In this new theoretical perspective the author re-presents such concepts as intention, purpose, and free will. Significant aspects of the "mind-body" issue are explored here. Rychlak addresses teleological issues and provides a language for proper conceptualization. He uses experimental findings to support the notion of behavior as self-directed rather than mechanistic. In the process, Rychlak places LLT on the side of teleological explanation, in which concepts like free will, self-choice, purpose and intention are no longer dismissed. Rychlak compares LLT and existing formulations of behavior, including classical and operant conditioning, social learning theory, social constructionism, cognitive science, gestalt theories, and personality theories. Extensive research data and thorough discussions support Rychlak's theory. A glossary is also included.

Does Mathematical Study Develop Logical Thinking?: Testing The Theory Of Formal Discipline

Author : Matthew Inglis
Publisher : World Scientific
ISBN 13 : 1786340704
Total Pages : 204 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Does Mathematical Study Develop Logical Thinking?: Testing The Theory Of Formal Discipline by : Matthew Inglis

Download or read book Does Mathematical Study Develop Logical Thinking?: Testing The Theory Of Formal Discipline written by Matthew Inglis and published by World Scientific. This book was released on 2016-09-06 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: For centuries, educational policymakers have believed that studying mathematics is important, in part because it develops general thinking skills that are useful throughout life. This 'Theory of Formal Discipline' (TFD) has been used as a justification for mathematics education globally. Despite this, few empirical studies have directly investigated the issue, and those which have showed mixed results.Does Mathematical Study Develop Logical Thinking? describes a rigorous investigation of the TFD. It reviews the theory's history and prior research on the topic, followed by reports on a series of recent empirical studies. It argues that, contrary to the position held by sceptics, advanced mathematical study does develop certain general thinking skills, however these are much more restricted than those typically claimed by TFD proponents.Perfect for students, researchers and policymakers in education, further education and mathematics, this book provides much needed insight into the theory and practice of the foundations of modern educational policy.

Encyclopedia of the Sciences of Learning

Author : Norbert M. Seel
Publisher : Springer Science & Business Media
ISBN 13 : 1441914277
Total Pages : 3643 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Encyclopedia of the Sciences of Learning by : Norbert M. Seel

Download or read book Encyclopedia of the Sciences of Learning written by Norbert M. Seel and published by Springer Science & Business Media. This book was released on 2011-10-05 with total page 3643 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Logical Theory of Causality

Author : Alexander Bochman
Publisher : MIT Press
ISBN 13 : 0262362244
Total Pages : 367 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis A Logical Theory of Causality by : Alexander Bochman

Download or read book A Logical Theory of Causality written by Alexander Bochman and published by MIT Press. This book was released on 2021-08-17 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: A general formal theory of causal reasoning as a logical study of causal models, reasoning, and inference. In this book, Alexander Bochman presents a general formal theory of causal reasoning as a logical study of causal models, reasoning, and inference, basing it on a supposition that causal reasoning is not a competitor of logical reasoning but its complement for situations lacking logically sufficient data or knowledge. Bochman also explores the relationship of this theory with the popular structural equation approach to causality proposed by Judea Pearl and explores several applications ranging from artificial intelligence to legal theory, including abduction, counterfactuals, actual and proximate causality, dynamic causal models, and reasoning about action and change in artificial intelligence. As logical preparation, before introducing causal concepts, Bochman describes an alternative, situation-based semantics for classical logic that provides a better understanding of what can be captured by purely logical means. He then presents another prerequisite, outlining those parts of a general theory of nonmonotonic reasoning that are relevant to his own theory. These two components provide a logical background for the main, two-tier formalism of the causal calculus that serves as the formal basis of his theory. He presents the main causal formalism of the book as a natural generalization of classical logic that allows for causal reasoning. This provides a formal background for subsequent chapters. Finally, Bochman presents a generalization of causal reasoning to dynamic domains.

Ways of Learning

Author : Alan Pritchard
Publisher : Routledge
ISBN 13 : 1317917626
Total Pages : 154 pages
Book Rating : 4.3/5 (179 download)

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Book Synopsis Ways of Learning by : Alan Pritchard

Download or read book Ways of Learning written by Alan Pritchard and published by Routledge. This book was released on 2013-12-04 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whilst most teachers are skilled in providing opportunities for the progression of children’s learning, it is often without fully understanding the theory behind it. With greater insight into what is currently known about the processes of learning and about individual learning preferences, teachers are better equipped to provide effective experiences and situations which are more likely to lead to lasting attainment. Now fully updated, Ways of Learning seeks to provide an understanding of the ways in which learning takes place, which teachers can make use of in their planning and teaching, including: An overview of learning Behaviourism and the beginning of theory Cognitive and constructivist learning Multiple intelligences Learning styles Difficulties with learning The influence of neuro-psychology Relating theory to practice The third edition of this book includes developments in areas covered in the first and second editions, as well as expanding on certain topics to bring about a wider perspective; most noticeably a newly updated and fully expanded chapter on the influence of neuro-educational research. The book also reflects changes in government policy and is closely related to new developments in practice. Written for trainee teachers, serving teachers, and others interested in learning for various reasons, Ways of Learning serves as a valuable introduction for students setting out on higher degree work who are in need of an introduction to the topic.

Algorithmic Learning Theory

Author : Nicolò Cesa-Bianchi
Publisher : Springer
ISBN 13 : 3540361693
Total Pages : 425 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Algorithmic Learning Theory by : Nicolò Cesa-Bianchi

Download or read book Algorithmic Learning Theory written by Nicolò Cesa-Bianchi and published by Springer. This book was released on 2003-08-03 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the 13th Annual Conference on Algorithmic Learning Theory (ALT 2002), which was held in Lub ̈ eck (Germany) during November 24–26, 2002. The main objective of the conference was to p- vide an interdisciplinary forum discussing the theoretical foundations of machine learning as well as their relevance to practical applications. The conference was colocated with the Fifth International Conference on Discovery Science (DS 2002). The volume includes 26 technical contributions which were selected by the program committee from 49 submissions. It also contains the ALT 2002 invited talks presented by Susumu Hayashi (Kobe University, Japan) on “Mathematics Based on Learning”, by John Shawe-Taylor (Royal Holloway University of L- don, UK) on “On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum”, and by Ian H. Witten (University of Waikato, New Zealand) on “Learning Structure from Sequences, with Applications in a Digital Library” (joint invited talk with DS 2002). Furthermore, this volume - cludes abstracts of the invited talks for DS 2002 presented by Gerhard Widmer (Austrian Research Institute for Arti?cial Intelligence, Vienna) on “In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project” and by Rudolf Kruse (University of Magdeburg, Germany) on “Data Mining with Graphical Models”. The complete versions of these papers are published in the DS 2002 proceedings (Lecture Notes in Arti?cial Intelligence, Vol. 2534). ALT has been awarding the E.

Principles and Practices of Organizational Performance Excellence

Author : Thomas J. Cartin
Publisher : Quality Press
ISBN 13 : 0873898826
Total Pages : 349 pages
Book Rating : 4.8/5 (738 download)

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Book Synopsis Principles and Practices of Organizational Performance Excellence by : Thomas J. Cartin

Download or read book Principles and Practices of Organizational Performance Excellence written by Thomas J. Cartin and published by Quality Press. This book was released on 1999-06-30 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many organizations have realized bona fide reward payoffs using a systematic continuous approach to quality and quality improvement. Divided into two sections, this book begins with an easy overview of quality fundamentals and productivity followed by a more detailed explanation of the key quality improvement tools and techniques. Chapter topics include the evolution of quality, management by commitment and leadership, customer satisfaction, organization planning, partnerships and strategic alliances, need for a systems approach in process improvement, quality costs, current engineering, and much more. Includes many examples and study questions to make it useful as a business reference or text. Principles and Practices of Organizational Performance is the evolution of the author's best-selling book, Principles and Practices of TQM, certain portions of which have been included in this book. Selected as an Outstanding Academic Title by Choice Magazine, 1999.Benefits: Discusses international quality standards(ISO). Provides an overview of the essentials in quality improvement awards - both national and international.liIncludes a glossary of terms that aid in communicating the language of improvement. Contents: Productivity Fundamentals, Management and Organization Change, Customer Satisfaction and Focus, Employee Empowerment, Quality Planning and Deployment, Quality Systems and Improvement, The New Quality Assurance, Supplier Quality Management, Quality Costs-Old and New, Tools for Continuous Improvement, Quality Standards and Awards, Quality Function Deployment, Design of Experiments

On the Logic and Learning of Language

Author : Sean A. Fulop
Publisher : Trafford Publishing
ISBN 13 : 1412023815
Total Pages : 244 pages
Book Rating : 4.4/5 (12 download)

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Book Synopsis On the Logic and Learning of Language by : Sean A. Fulop

Download or read book On the Logic and Learning of Language written by Sean A. Fulop and published by Trafford Publishing. This book was released on 2004 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the author's research on automatic learning procedures for categorial grammars of natural languages. The research program spans a number of intertwined disciplines, including syntax, semantics, learnability theory, logic, and computer science. The theoretical framework employed is an extension of categorial grammar that has come to be called multimodal or type-logical grammar. The first part of the book presents an expository summary of how grammatical sentences of any language can be deduced with a specially designed logical calculus that treats syntactic categories as its formulae. Some such Universal Type Logic is posited to underlie the human language faculty, and all linguistic variation is captured by the different systems of semantic and syntactic categories which are assigned in the lexicons of different languages. The remainder of the book is devoted to the explicit formal development of computer algorithms which can learn the lexicons of type logical grammars from learning samples of annotated sentences. The annotations consist of semantic terms expressed in the lambda calculus, and may also include an unlabeled tree-structuring over the sentence. The major features of the research include the following: We show how the assumption of a universal linguistic component---the logic of language---is not incompatible with the conviction that every language needs a different system of syntactic and semantic categories for its proper description. The supposedly universal linguistic categories descending from antiquity (noun, verb, etc.) are summarily discarded. Languages are here modeled as consisting primarily of sentence trees labeled with semantic structures; a new mathematical class of such term-labeled tree languages is developed which cross-cuts the well-known Chomsky hierarchy and provides a formal restrictive condition on the nature of human languages. The human language acquisition mechanism is postulated to be biased, such that it assumes all input language samples are drawn from the above "syntactically homogeneous" class; in this way, the universal features of human languages arise not just from the innate logic of language, but also from the innate biases which govern language learning. This project represents the first complete explicit attempt to model the aquisition of human language since Steve Pinker's groundbreaking 1984 publication, "Language Learnability and Language Development."

Logical and Relational Learning

Author : Luc De Raedt
Publisher : Springer Science & Business Media
ISBN 13 : 3540688560
Total Pages : 395 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Logical and Relational Learning by : Luc De Raedt

Download or read book Logical and Relational Learning written by Luc De Raedt and published by Springer Science & Business Media. This book was released on 2008-09-27 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first textbook on multi-relational data mining and inductive logic programming provides a complete overview of the field. It is self-contained and easily accessible for graduate students and practitioners of data mining and machine learning.

Learning Theory

Author : Gábor Lugosi
Publisher : Springer Science & Business Media
ISBN 13 : 3540352945
Total Pages : 667 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Learning Theory by : Gábor Lugosi

Download or read book Learning Theory written by Gábor Lugosi and published by Springer Science & Business Media. This book was released on 2006-06-12 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, Pennsylvania, USA in June 2006. The 43 revised full papers presented together with 2 articles on open problems and 3 invited lectures were carefully reviewed and selected from a total of 102 submissions. The papers cover a wide range of topics including clustering, un- and semisupervised learning, statistical learning theory, regularized learning and kernel methods, query learning and teaching, inductive inference, learning algorithms and limitations on learning, online aggregation, online prediction and reinforcement learning.

Algorithmic Learning Theory

Author : Michael M. Richter
Publisher : Springer Science & Business Media
ISBN 13 : 354065013X
Total Pages : 450 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Algorithmic Learning Theory by : Michael M. Richter

Download or read book Algorithmic Learning Theory written by Michael M. Richter and published by Springer Science & Business Media. This book was released on 1998 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains all the papers presented at the Ninth International Con- rence on Algorithmic Learning Theory (ALT’98), held at the European education centre Europ ̈aisches Bildungszentrum (ebz) Otzenhausen, Germany, October 8{ 10, 1998. The Conference was sponsored by the Japanese Society for Arti cial Intelligence (JSAI) and the University of Kaiserslautern. Thirty-four papers on all aspects of algorithmic learning theory and related areas were submitted, all electronically. Twenty-six papers were accepted by the program committee based on originality, quality, and relevance to the theory of machine learning. Additionally, three invited talks presented by Akira Maruoka of Tohoku University, Arun Sharma of the University of New South Wales, and Stefan Wrobel from GMD, respectively, were featured at the conference. We would like to express our sincere gratitude to our invited speakers for sharing with us their insights on new and exciting developments in their areas of research. This conference is the ninth in a series of annual meetings established in 1990. The ALT series focuses on all areas related to algorithmic learning theory including (but not limited to): the theory of machine learning, the design and analysis of learning algorithms, computational logic of/for machine discovery, inductive inference of recursive functions and recursively enumerable languages, learning via queries, learning by arti cial and biological neural networks, pattern recognition, learning by analogy, statistical learning, Bayesian/MDL estimation, inductive logic programming, robotics, application of learning to databases, and gene analyses.

Logical Consequences

Author : Rudolf Dreikurs
Publisher : Plume Books
ISBN 13 :
Total Pages : 236 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Logical Consequences by : Rudolf Dreikurs

Download or read book Logical Consequences written by Rudolf Dreikurs and published by Plume Books. This book was released on 1993 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Algorithmic Learning Theory

Author : Shai Ben David
Publisher : Springer
ISBN 13 : 3540302158
Total Pages : 519 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Algorithmic Learning Theory by : Shai Ben David

Download or read book Algorithmic Learning Theory written by Shai Ben David and published by Springer. This book was released on 2004-09-24 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithmic learning theory is mathematics about computer programs which learn from experience. This involves considerable interaction between various mathematical disciplines including theory of computation, statistics, and c- binatorics. There is also considerable interaction with the practical, empirical ?elds of machine and statistical learning in which a principal aim is to predict, from past data about phenomena, useful features of future data from the same phenomena. The papers in this volume cover a broad range of topics of current research in the ?eld of algorithmic learning theory. We have divided the 29 technical, contributed papers in this volume into eight categories (corresponding to eight sessions) re?ecting this broad range. The categories featured are Inductive Inf- ence, Approximate Optimization Algorithms, Online Sequence Prediction, S- tistical Analysis of Unlabeled Data, PAC Learning & Boosting, Statistical - pervisedLearning,LogicBasedLearning,andQuery&ReinforcementLearning. Below we give a brief overview of the ?eld, placing each of these topics in the general context of the ?eld. Formal models of automated learning re?ect various facets of the wide range of activities that can be viewed as learning. A ?rst dichotomy is between viewing learning as an inde?nite process and viewing it as a ?nite activity with a de?ned termination. Inductive Inference models focus on inde?nite learning processes, requiring only eventual success of the learner to converge to a satisfactory conclusion.

Dynamic Logic. New Trends and Applications

Author : Alexandre Madeira
Publisher : Springer
ISBN 13 : 3319735799
Total Pages : 201 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Dynamic Logic. New Trends and Applications by : Alexandre Madeira

Download or read book Dynamic Logic. New Trends and Applications written by Alexandre Madeira and published by Springer. This book was released on 2017-12-30 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Workshop on Dynamic Logic, DALI 2017, held in Brasilia, Brazil, in September 2017. Both its theoretical relevance and practical potential make Dynamic Logic a topic of interest in a number of scientific venues, from wide-scope software engineering conferences to modal logic specific events. The workshop is promoted by an R&D project on dynamic logics for cyber-physical systems. The 12 full papers presented in this volume were carefully reviewed and selected from 25 submissions. The workshop is based on the project DaLí – Dynamic logics for cyber-physical systems: towards contract based design.

Steps to an Ecology of Mind

Author : Gregory Bateson
Publisher : University of Chicago Press
ISBN 13 : 9780226039053
Total Pages : 572 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Steps to an Ecology of Mind by : Gregory Bateson

Download or read book Steps to an Ecology of Mind written by Gregory Bateson and published by University of Chicago Press. This book was released on 2000 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gregory Bateson was a philosopher, anthropologist, photographer, naturalist, and poet, as well as the husband and collaborator of Margaret Mead. This classic anthology of his major work includes a new Foreword by his daughter, Mary Katherine Bateson. 5 line drawings.

Learning How to Learn

Author : Barbara Oakley, PhD
Publisher : Penguin
ISBN 13 : 052550446X
Total Pages : 256 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis Learning How to Learn by : Barbara Oakley, PhD

Download or read book Learning How to Learn written by Barbara Oakley, PhD and published by Penguin. This book was released on 2018-08-07 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: • Why sometimes letting your mind wander is an important part of the learning process • How to avoid "rut think" in order to think outside the box • Why having a poor memory can be a good thing • The value of metaphors in developing understanding • A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.

Experiential Learning

Author : David A. Kolb
Publisher : Pearson Education
ISBN 13 : 0133892409
Total Pages : 417 pages
Book Rating : 4.1/5 (338 download)

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Book Synopsis Experiential Learning by : David A. Kolb

Download or read book Experiential Learning written by David A. Kolb and published by Pearson Education. This book was released on 2015 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experiential learning is a powerful and proven approach to teaching and learning that is based on one incontrovertible reality: people learn best through experience. Now, in this extensively updated book, David A. Kolb offers a systematic and up-to-date statement of the theory of experiential learning and its modern applications to education, work, and adult development. Experiential Learning, Second Edition builds on the intellectual origins of experiential learning as defined by figures such as John Dewey, Kurt Lewin, Jean Piaget, and L.S. Vygotsky, while also reflecting three full decades of research and practice since the classic first edition. Kolb models the underlying structures of the learning process based on the latest insights in psychology, philosophy, and physiology. Building on his comprehensive structural model, he offers an exceptionally useful typology of individual learning styles and corresponding structures of knowledge in different academic disciplines and careers. Kolb also applies experiential learning to higher education and lifelong learning, especially with regard to adult education. This edition reviews recent applications and uses of experiential learning, updates Kolb's framework to address the current organizational and educational landscape, and features current examples of experiential learning both in the field and in the classroom. It will be an indispensable resource for everyone who wants to promote more effective learning: in higher education, training, organizational development, lifelong learning environments, and online.