Computational Modeling for Industrial-Organizational Psychologists PDF Download
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Author: Jeffrey B. Vancouver
Publisher: Taylor & Francis
ISBN: 1003815251
Category : Psychology
Languages : en
Pages : 342
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Book Description
This collection provides a primer to the process and promise of computational modeling for industrial-organizational psychologists. With contributions by global experts in the field, the book is designed to expand readers’ appreciation for computational modeling via chapters focused on key modeling achievements in domains relevant to industrial-organizational psychology, including decision making in organizations, diversity and inclusion, learning and training, leadership, and teams. To move the use of computational modeling forward, the book includes specific how-to-chapters on two of the most commonly used modeling approaches: agent-based modeling and system dynamics modeling. It also gives guidance on how to evaluate these models qualitatively and quantitatively, and offers advice on how to read, review, and publish papers with computational models. The authors provide an extensive description of the myriad of values computational modeling can bring to the field, highlighting how they offer a more transparent, precise way to represent theories and can be simulated to offer a test of the internal consistency of a theory and allow for predictions. This is accompanied by an overview of the history of computational modeling as it relates to I-O psychology. Throughout, the authors reflect on computational modeling’s journey, looking back to its history as they imagine its future in I-O psychology. Each contribution demonstrates the value and opportunities computational modeling can provide the individual researcher, research teams, and fields of I-O psychology and management. This volume is an ideal resource for anyone interested in computational modeling, from scholarly consumers to computational model creators.
Author: Jeffrey B. Vancouver
Publisher: Taylor & Francis
ISBN: 1003815251
Category : Psychology
Languages : en
Pages : 342
Get Book Here
Book Description
This collection provides a primer to the process and promise of computational modeling for industrial-organizational psychologists. With contributions by global experts in the field, the book is designed to expand readers’ appreciation for computational modeling via chapters focused on key modeling achievements in domains relevant to industrial-organizational psychology, including decision making in organizations, diversity and inclusion, learning and training, leadership, and teams. To move the use of computational modeling forward, the book includes specific how-to-chapters on two of the most commonly used modeling approaches: agent-based modeling and system dynamics modeling. It also gives guidance on how to evaluate these models qualitatively and quantitatively, and offers advice on how to read, review, and publish papers with computational models. The authors provide an extensive description of the myriad of values computational modeling can bring to the field, highlighting how they offer a more transparent, precise way to represent theories and can be simulated to offer a test of the internal consistency of a theory and allow for predictions. This is accompanied by an overview of the history of computational modeling as it relates to I-O psychology. Throughout, the authors reflect on computational modeling’s journey, looking back to its history as they imagine its future in I-O psychology. Each contribution demonstrates the value and opportunities computational modeling can provide the individual researcher, research teams, and fields of I-O psychology and management. This volume is an ideal resource for anyone interested in computational modeling, from scholarly consumers to computational model creators.
Author: Kurt VanLehn
Publisher: MIT Press
ISBN: 9780262220361
Category : Psychology
Languages : en
Pages : 286
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Book Description
As children acquire arithmetic skills, they often develop 'bugs'--small, local misconceptions that cause systematic errors. Mind Bugs combines a novel cognitive simulation process with careful hypothesis testing to explore how mathematics students acquire procedural skills in instructional settings, focusing in particular on these procedural misconceptions and what they reveal about the learning process.
Author: Raman K. Attri
Publisher: Speed To Proficiency Research: S2Pro©
ISBN: 9811189889
Category : Business & Economics
Languages : en
Pages : 160
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Book Description
The book offers condensed summaries of twenty-three major skill acquisition and expertise development models presented by leading researchers during the last half a century of classic and new research. This book presents new researchers in learning, training, cognitive sciences, or education disciplines with a big picture starting point for their literature review journey. The book presents an easy-to-understand taxonomy of twenty-three models, giving new researchers a good bird’s eye view of existing models and theories. They can decide which direction to dig further. The reviews in this book are complemented with over 200 authentic sources, which a researcher read for a detailed and deeper dive and set the direction for further exploration. This book would also act as an essential reference for training & learning professionals and instructional designers to design research-based training curriculum to develop the skills of their staff. Chapter 1 of the book elaborates on how the processes of learning, skill acquisition, and expertise development are interwoven. Chapter 2 presents a classification system to categorize various models reviewed in the literature under five groups. Chapter 3 describes twelve models of skill and expertise acquisition which are represented in the form of stages used frequently in learning, training, and performance literature. The chapter also briefly discusses each model's implications toward developing the skills and expertise of a less proficient individual to a higher level of proficiency. Chapter 4 reviews practice-, time- or task-based models, which are theories or models suggesting that acquisition of knowledge & skills, development of expertise, and performance improvement is a function of nature of the practice, amount of time spent on the task and task type. Chapter 5 presents the factor-based models, suggesting the interplay of several factors that influence the acquisition of knowledge & skills, development of expertise, and performance improvement. Chapter 6 embarks on describing expert modeling-based models, suggesting modeling an expert through elicitation or guidance for the acquisition of knowledge & skills, development of expertise, and performance improvement. Chapter 7 covers some newer movements toward cognition-based models, which are theories or models focusing on mechanisms of cognitive learning for the acquisition of knowledge & skills, development of expertise, and performance improvement. Chapter 8 concludes the book by integrating views from various thought leaders to explain a famous staged skill acquisition model.
Author: Ron Sun
Publisher: Cambridge University Press
ISBN: 1108617433
Category : Psychology
Languages : en
Pages : 1804
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Book Description
The Cambridge Handbook of Computational Cognitive Sciences is a comprehensive reference for this rapidly developing and highly interdisciplinary field. Written with both newcomers and experts in mind, it provides an accessible introduction of paradigms, methodologies, approaches, and models, with ample detail and illustrated by examples. It should appeal to researchers and students working within the computational cognitive sciences, as well as those working in adjacent fields including philosophy, psychology, linguistics, anthropology, education, neuroscience, artificial intelligence, computer science, and more.
Author: Science Society Cognitive, Con
Publisher: Psychology Press
ISBN: 9780805814873
Category : Psychology
Languages : en
Pages : 1080
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Book Description
This volume features the complete text of all regular papers, posters, and summaries of symposia presented at the 15th annual meeting of the Cognitive Science Society.
Author: Garrison W. Cottrell
Publisher: Routledge
ISBN: 1317729463
Category : Psychology
Languages : en
Pages : 908
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Book Description
This volume features the complete text of all regular papers, posters, and summaries of symposia presented at the 18th annual meeting of the Cognitive Science Society. Papers have been loosely grouped by topic, and an author index is provided in the back. In hopes of facilitating searches of this work, an electronic index on the Internet's World Wide Web is provided. Titles, authors, and summaries of all the papers published here have been placed in an online database which may be freely searched by anyone. You can reach the Web site at: http://www.cse.ucsd.edu/events/cogsci96/proceedings. You may view the table of contents for this volume on the LEA Web site at: http://www.erlbaum.com.
Author: Ron Sun
Publisher: Cambridge University Press
ISBN: 0521674107
Category : Computers
Languages : en
Pages : 767
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Book Description
A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.
Author: Norbert M. Seel
Publisher: Springer Science & Business Media
ISBN: 1441914277
Category : Education
Languages : en
Pages : 3643
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Book Description
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.
Author:
Publisher:
ISBN:
Category : Military research
Languages : en
Pages : 400
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Book Description
Author: Ahmed A. Moustafa
Publisher: John Wiley & Sons
ISBN: 1119159067
Category : Psychology
Languages : en
Pages : 586
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Book Description
A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.
