Models And Modeling In The Sciences
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Models And Modeling In The Sciences
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Author : Stephen M. Downes
language : en
Publisher: Routledge
Release Date : 2020-07-09
Models And Modeling In The Sciences written by Stephen M. Downes and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-09 with Philosophy categories.
Biologists, climate scientists, and economists all rely on models to move their work forward. In this book, Stephen M. Downes explores the use of models in these and other fields to introduce readers to the various philosophical issues that arise in scientific modeling. Readers learn that paying attention to models plays a crucial role in appraising scientific work. This book first presents a wide range of models from a number of different scientific disciplines. After assembling some illustrative examples, Downes demonstrates how models shed light on many perennial issues in philosophy of science and in philosophy in general. Reviewing the range of views on how models represent their targets introduces readers to the key issues in debates on representation, not only in science but in the arts as well. Also, standard epistemological questions are cast in new and interesting ways when readers confront the question, "What makes for a good (or bad) model?" All examples from the sciences and positions in the philosophy of science are presented in an accessible manner. The book is suitable for undergraduates with minimal experience in philosophy and an introductory undergraduate experience in science. Key features: The book serves as a highly accessible philosophical introduction to models and modeling in the sciences, presenting all philosophical and scientific issues in a nontechnical manner. Students and other readers learn to practice philosophy of science by starting with clear examples taken directly from the sciences. While not comprehensive, this book introduces the reader to a wide range of views on key issues in the philosophy of science.
Models And Modeling In The Sciences
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Author : Stephen M. Downes
language : en
Publisher:
Release Date : 2020
Models And Modeling In The Sciences written by Stephen M. Downes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Information visualization categories.
Models now drive much of the research in climate science, economics, molecular biology, and several other fields in the natural and social sciences. Yet how models work as tools of forecasting, representation, and explanation remains unclear, inviting closer philosophical analysis. In this book, Stephen M. Downes offers the first focused philosophical introduction to scientific modeling, accessible for students and researchers in both philosophy and the sciences. He looks at different models in a wide range of disciplines, suggesting a procrustean view of models is misleading, yet also draws insightful connections between disciplines. Each of the chapters includes a helpful overview, summary, and annotated bibliography.
Models And Modeling
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Author : Myint Swe Khine
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-01
Models And Modeling written by Myint Swe Khine and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-01 with Science categories.
The process of developing models, known as modeling, allows scientists to visualize difficult concepts, explain complex phenomena and clarify intricate theories. In recent years, science educators have greatly increased their use of modeling in teaching, especially real-time dynamic modeling, which is central to a scientific investigation. Modeling in science teaching is being used in an array of fields, everything from primary sciences to tertiary chemistry to college physics, and it is sure to play an increasing role in the future of education. Models and Modeling: Cognitive Tools for Scientific Enquiry is a comprehensive introduction to the use of models and modeling in science education. It identifies and describes many different modeling tools and presents recent applications of modeling as a cognitive tool for scientific enquiry.
Models And Modeling
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Author : Myint Swe Khine
language : en
Publisher: Springer
Release Date : 2013-04-21
Models And Modeling written by Myint Swe Khine and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-21 with Science categories.
The process of developing models, known as modeling, allows scientists to visualize difficult concepts, explain complex phenomena and clarify intricate theories. In recent years, science educators have greatly increased their use of modeling in teaching, especially real-time dynamic modeling, which is central to a scientific investigation. Modeling in science teaching is being used in an array of fields, everything from primary sciences to tertiary chemistry to college physics, and it is sure to play an increasing role in the future of education. Models and Modeling: Cognitive Tools for Scientific Enquiry is a comprehensive introduction to the use of models and modeling in science education. It identifies and describes many different modeling tools and presents recent applications of modeling as a cognitive tool for scientific enquiry.
Simulation And Similarity
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Author : Michael Weisberg
language : en
Publisher: Oxford University Press
Release Date : 2012-12-21
Simulation And Similarity written by Michael Weisberg and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-21 with Philosophy categories.
Simulation and Similarity is an account of modeling and idealization in modern scientific practice, focusing on concrete, mathematical, and computational models. The main topics of this book are the nature of models, the practice of modeling, and the nature of the relationship between models and real-world phenomena. In order to elucidate the model/world relationship, Weisberg develops a novel account of similarity called weighted feature matching.
Towards A Competence Based View On Models And Modeling In Science Education
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Author : Annette Upmeier zu Belzen
language : en
Publisher: Springer Nature
Release Date : 2020-01-01
Towards A Competence Based View On Models And Modeling In Science Education written by Annette Upmeier zu Belzen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-01 with Science categories.
The book takes a closer look at the theoretical and empirical basis for a competence-based view of models and modeling in science learning and science education research. Current thinking about models and modeling is reflected. The focus lies on the development of modeling competence in science education, and on philosophical aspects, including perspectives on nature of science. The book explores, interprets, and discusses models and modeling from the perspective of different theoretical frameworks and empirical results. The extent to which these frameworks can be integrated into a competence-based approach for science education is discussed. In addition, the book provides practical guidance by outlining evidence-based approaches to diagnosing and promoting modeling competence. The aim is to convey a strong understanding of models and modeling for professions such as teacher educators, science education researchers, teachers, and scientists. Different methods for the diagnosis and assessment of modeling competence are presented and discussed with regard to their potential and limitations. The book provides evidence-based ideas about how teachers can be supported in teaching with models and modeling implementing a competence-based approach and, thus, how students can develop their modeling competence. Based on the findings, research challenges for the future are identified.
Understanding Models In Earth Space Science
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Author : Steven W. Gilbert
language : en
Publisher: NSTA Press
Release Date :
Understanding Models In Earth Space Science written by Steven W. Gilbert and has been published by NSTA Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Modeling Theory In Science Education
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Author : Ibrahim A. Halloun
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-01-25
Modeling Theory In Science Education written by Ibrahim A. Halloun and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-25 with Science categories.
This book is the culmination of over twenty years of work toward a pedagogical theory that promotes experiential learning of model-laden theory and inquiry in science. The book focuses as much on course content as on instruction and learning methodology, presenting practical aspects that have repeatedly demonstrated their value in fostering meaningful and equitable learning of physics and other science courses at the secondary school and college levels.
Similarity And Modeling In Science And Engineering
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Author : Josef Kuneš
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-04-07
Similarity And Modeling In Science And Engineering written by Josef Kuneš and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-07 with Mathematics categories.
The present text sets itself in relief to other titles on the subject in that it addresses the means and methodologies versus a narrow specific-task oriented approach. Concepts and their developments which evolved to meet the changing needs of applications are addressed. This approach provides the reader with a general tool-box to apply to their specific needs. Two important tools are presented: dimensional analysis and the similarity analysis methods. The fundamental point of view, enabling one to sort all models, is that of information flux between a model and an original expressed by the similarity and abstraction Each chapter includes original examples and applications. In this respect, the models can be divided into several groups. The following models are dealt with separately by chapter; mathematical and physical models, physical analogues, deterministic, stochastic, and cybernetic computer models. The mathematical models are divided into asymptotic and phenomenological models. The phenomenological models, which can also be called experimental, are usually the result of an experiment on an complex object or process. The variable dimensionless quantities contain information about the real state of boundary conditions, parameter (non-linearity) changes, and other factors. With satisfactory measurement accuracy and experimental strategy, such models are highly credible and can be used, for example in control systems.
Developing Models In Science Education
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Author : J.K. Gilbert
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Developing Models In Science Education written by J.K. Gilbert and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
Models and modelling play a central role in the nature of science, in its conduct, in the accreditation and dissemination of its outcomes, as well as forming a bridge to technology. They therefore have an important place in both the formal and informal science education provision made for people of all ages. This book is a product of five years collaborative work by eighteen researchers from four countries. It addresses four key issues: the roles of models in science and their implications for science education; the place of models in curricula for major science subjects; the ways that models can be presented to, are learned about, and can be produced by, individuals; the implications of all these for research and for science teacher education. The work draws on insights from the history and philosophy of science, cognitive psychology, sociology, linguistics, and classroom research, to establish what may be done and what is done. The book will be of interest to researchers in science education and to those taking courses of advanced study throughout the world.