Facilitating Seven Ways of Learning

A Resource for More Purposeful, Effective, and Enjoyable College Teaching


Author: James R. Davis,Bridget D. Arend

Publisher: Stylus Publishing, LLC

ISBN: 1579228437

Category: Education

Page: 326

View: 6298

For teachers in higher education who haven’t been able to catch up with developments in teaching and learning, James Davis and Bridget Arend offer an introduction that focuses on seven coherent and proven evidence-based strategies. The underlying rationale is to provide a framework to match teaching goals to distinct ways of learning, based on well-established theories of learning. The authors present approaches that readers can readily and safely experiment with to achieve desired learning outcomes, and build confidence in changing their methods of teaching. Research on learning clearly demonstrates that learning is not one thing, but many. The learning associated with developing a skill is different from the learning associated with understanding and remembering information, which in turn is different from thinking critically and creatively, solving problems, making decisions, or change paradigms in the light of evidence. Differing outcomes involve different ways of learning and teaching strategies. The authors provide the reader with a conceptual approach for selecting appropriate teaching strategies for different types of content, and for achieving specific learning objectives. They demonstrate through examples how a focused and purposeful selection of activities improves student performance, and in the process makes for a more effective and satisfying teaching experience. The core of the book presents a chapter on each of the seven ways of learning. Each chapter offers a full description of the process, illustrates its application with examples from different academic fields and types of institutions, clearly describes the teacher’s facilitation role, and covers assessment and online use. The seven ways of learning are: Behavioral Learning; Cognitive Learning; Learning through Inquiry; Learning with Mental Models; Learning through Groups and Teams; Learning through Virtual Realities; and Experiential Learning. Along the way, the authors provide the reader with a basis for evaluating other approaches to teaching and other learning methodologies so that she or he can confidently go beyond the “seven ways” to adapt or adopt further strategies. This is the ideal companion for teachers who are beginning to explore new ways of teaching, and want to do some serious independent thinking about learning. The book can also be used to prepare graduate students for teaching, and will be welcomed by centers for teaching and learning to help continuing faculty re-examine a particular aspect of their teaching.

How to Solve Mathematical Problems


Author: Wayne A. Wickelgren

Publisher: Courier Corporation

ISBN: 0486152685

Category: Science

Page: 288

View: 850

Seven problem-solving techniques include inference, classification of action sequences, subgoals, contradiction, working backward, relations between problems, and mathematical representation. Also, problems from mathematics, science, and engineering with complete solutions.

Algorithmic Problem Solving


Author: Roland Backhouse

Publisher: John Wiley & Sons

ISBN: 0470684534

Category: Computers

Page: 432

View: 4470

An entertaining and captivating way to learn the fundamentals of using algorithms to solve problems The algorithmic approach to solving problems in computer technology is an essential tool. With this unique book, algorithm guru Roland Backhouse shares his four decades of experience to teach the fundamental principles of using algorithms to solve problems. Using fun and well-known puzzles to gradually introduce different aspects of algorithms in mathematics and computing. Backhouse presents you with a readable, entertaining, and energetic book that will motivate and challenge you to open your mind to the algorithmic nature of problem solving. Provides a novel approach to the mathematics of problem solving focusing on the algorithmic nature of problem solving Uses popular and entertaining puzzles to teach you different aspects of using algorithms to solve mathematical and computing challenges Features a theory section that supports each of the puzzles presented throughout the book Assumes only an elementary understanding of mathematics Let Roland Backhouse and his four decades of experience show you how you can solve challenging problems with algorithms!

Professional Learning: Gaps and Transitions on the Way from Novice to Expert


Author: Henny P.A. Boshuizen,Rainer Bromme,Hans Gruber

Publisher: Springer Science & Business Media

ISBN: 1402020945

Category: Education

Page: 308

View: 2956

About the Book Series The idea for the Book Series “Innovation and Change in Professional Education” (ICPE) was born in 1996. While working on another publication in this area, we noticed that professional educators faced similar problems without even knowing from each other. It was this observation that resulted in examining the possibilities for a new publication platform about professional education with input from different professions. We wanted to develop a publication source that would bring together educators and researchers to exchange ideas and knowledge about theory, research and professional practice. But we were not only striving for a book series informing readers about important themes in the professions. A second goal was to focus on processes of change and innovation. We were heavily involved in innovations going on in our institutions, and were convinced that a better understanding was needed in a wide range of issues critically important to the future of professional education. It was our belief that scholarly publications about innovation processes may support fundamental change in professional education. ICPE reflects our view that professional education deserves such a publication platform. It aims to approach critical questions of educational innovations, and to examine dynamics of educational change in various professional domains in the context of innovation processes. The books will include contributions from frontline practitioners, leading researchers, or distinguished scholars in professional education, delivering reports of empirical or theoretical research, reviews, interpretations of evaluation studies, or descriptions of innovative approaches.

Computational Intelligence for Decision Support


Author: Zhengxin Chen

Publisher: CRC Press

ISBN: 9781420049145

Category: Computers

Page: 400

View: 7288

Intelligent decision support relies on techniques from a variety of disciplines, including artificial intelligence and database management systems. Most of the existing literature neglects the relationship between these disciplines. By integrating AI and DBMS, Computational Intelligence for Decision Support produces what other texts don't: an explanation of how to use AI and DBMS together to achieve high-level decision making. Threading relevant disciplines from both science and industry, the author approaches computational intelligence as the science developed for decision support. The use of computational intelligence for reasoning and DBMS for retrieval brings about a more active role for computational intelligence in decision support, and merges computational intelligence and DBMS. The introductory chapter on technical aspects makes the material accessible, with or without a decision support background. The examples illustrate the large number of applications and an annotated bibliography allows you to easily delve into subjects of greater interest. The integrated perspective creates a book that is, all at once, technical, comprehensible, and usable. Now, more than ever, it is important for science and business workers to creatively combine their knowledge to generate effective, fruitful decision support. Computational Intelligence for Decision Support makes this task manageable.

Representations for Genetic and Evolutionary Algorithms


Author: Franz Rothlauf

Publisher: Springer Science & Business Media

ISBN: 9783540324447

Category: Mathematics

Page: 325

View: 7406

In the field of genetic and evolutionary algorithms (GEAs), a large amount of theory and empirical study has been focused on operators and test problems, while problem representation has often been taken as given. This book breaks with this tradition and provides a comprehensive overview on the influence of problem representations on GEA performance. The book summarizes existing knowledge regarding problem representations and describes how basic properties of representations, such as redundancy, scaling, or locality, influence the performance of GEAs and other heuristic optimization methods. Using the developed theory, representations can be analyzed and designed in a theory-guided matter. The theoretical concepts are used for solving integer optimization problems and network design problems more efficiently. The book is written in an easy-readable style and is intended for researchers, practitioners, and students who want to learn about representations. This second edition extends the analysis of the basic properties of representations and introduces a new chapter on the analysis of direct representations.

Elements of the Theory of Inverse Problems


Author: A. M. Denisov

Publisher: VSP

ISBN: 9789067643030

Category: Mathematics

Page: 272

View: 3910

This volume focuses on the basic theory of inverse problems. The first chapter offers an introduction to the theory of inverse problems, with examples of both inverse and ill-posed problems, as well as methods of their solution. The following chapters address topics including: inverse problems for ordinary differential equations; inverse problems for linear partial differential equations; inverse coefficient problems for partial differential equations; determining functions for one or two variables by integrals of these functions; and methods of solution of inverse problems. At the end of each chapter exercises are included to assist readers in gaining a better understanding of the subject matter.

Thinking and Problem Solving


Author: Robert J. Sternberg

Publisher: Elsevier

ISBN: 9780126672602

Category: Psychology

Page: 461

View: 863

Thinking and Problem-Solving presents a comprehensive and up-to-date review of literature on cognition, reasoning, intelligence, and other formative areas specific to this field. Written for advanced undergraduates, researchers, and academics, this volume is a necessary reference for beginning and established investigators in cognitive and educational psychology. Thinking and Problem-Solving provides insight into questions such as: how do people solve complex problems in mathematics and everyday life? How do we generate new ideas? How do we piece together clues to solve a mystery, categorize novel events, and teach others to do the same? Provides a comprehensive literature review Covers both historical and contemporary approaches Organized for ease of use and reference Chapters authored by leading scholars

Metaphor and Analogy in the Sciences


Author: F. Hallyn

Publisher: Springer Science & Business Media

ISBN: 9401594422

Category: Philosophy

Page: 244

View: 2199

This collection of papers contains historical case studies, systematic contributions of a general nature, and applications to specific sciences. The bibliographies of the contributions contain references to all central items from the traditions that are relevant today. While providing access to contemporary views on the issue, the papers illustrate the wide variety of functions of metaphors and analogies, as well as the many connections between the study of some of these functions and other subjects and disciplines.

Problem-Solving Strategies


Author: Arthur Engel

Publisher: Springer Science & Business Media

ISBN: 0387982191

Category: Mathematics

Page: 403

View: 6879

A unique collection of competition problems from over twenty major national and international mathematical competitions for high school students. Written for trainers and participants of contests of all levels up to the highest level, this will appeal to high school teachers conducting a mathematics club who need a range of simple to complex problems and to those instructors wishing to pose a "problem of the week", thus bringing a creative atmosphere into the classrooms. Equally, this is a must-have for individuals interested in solving difficult and challenging problems. Each chapter starts with typical examples illustrating the central concepts and is followed by a number of carefully selected problems and their solutions. Most of the solutions are complete, but some merely point to the road leading to the final solution. In addition to being a valuable resource of mathematical problems and solution strategies, this is the most complete training book on the market.

Learning to Solve Problems

An Instructional Design Guide


Author: David H. Jonassen

Publisher: John Wiley & Sons

ISBN: 9780787977054

Category: Business & Economics

Page: 256

View: 4307

Learning to Solve Problems is a much-needed book thatdescribes models for designing interactive learning environments tosupport how to learn and solve different kinds of problems. Using aresearch-based approach, author David H. Jonassen?a recognizedexpert in the field?shows how to design instruction to supportthree kinds of problems: story problems, troubleshooting, and caseand policy analysis problems. Filled with models and job aids, thisbook describes different approaches for representing problems tolearners and includes information about technology-based tools thatcan help learners mentally represent problems for themselves.Jonassen also explores methods for associating different solutionsto problems and discusses various processes for reflecting on theproblem solving process. Learning to Solve Problems alsoincludes three methods for assessing problem-solvingskills?performance assessment, component skills; and argumentation.

Problem-Solving Methods in Combinatorics

An Approach to Olympiad Problems


Author: Pablo Soberón

Publisher: Springer Science & Business Media

ISBN: 3034805977

Category: Mathematics

Page: 174

View: 1676

Every year there is at least one combinatorics problem in each of the major international mathematical olympiads. These problems can only be solved with a very high level of wit and creativity. This book explains all the problem-solving techniques necessary to tackle these problems, with clear examples from recent contests. It also includes a large problem section for each topic, including hints and full solutions so that the reader can practice the material covered in the book.​ The material will be useful not only to participants in the olympiads and their coaches but also in university courses on combinatorics.

Mathematics Problems with Separate Progressive Solutions

Hints, Algorithms, Proofs. Volume 1 - Intermediate and College Algebra


Author: Catalin Barboianu,Evgheni Tokarev

Publisher: INFAROM Publishing

ISBN: 9738866294

Category: Education

Page: 124

View: 9545

This resource explains the concepts of theoretical and analytical skills, as well as algorithmic skills, coupled with a basic mathematical intuition to successfully support the development of these skills in students and to provide math instructors with models for teaching problem-solving in algebra courses.

Integrative Problem-Solving in a Time of Decadence


Author: George Christakos

Publisher: Springer Science & Business Media

ISBN: 9789048198900

Category: Science

Page: 527

View: 3001

Presents a unique study of Integrative Problem-Solving (IPS). The consideration of 'Decadence' is essential in the scientific study of environmental and other problems and their rigorous solution, because the broad context within which the problems emerge can affect their solution. Stochastic reasoning underlines the conceptual and methodological framework of IPS, and its formulation has a mathematical life of its own that accounts for the multidisciplinarity of real world problems, the multisourced uncertainties characterizing their solution, and the different thinking modes of the people involved. Only by interpolating between the full range of disciplines (including stochastic mathematics, physical science, neuropsychology, philosophy, and sociology) and the associated thinking modes can scientists arrive at a satisfactory account of problem-solving, and be able to distinguish between a technically complete problem-solution, and a solution that has social impact.

Theory of Elasticity for Scientists and Engineers


Author: Teodor M. Atanackovic,Ardeshir Guran

Publisher: Springer Science & Business Media

ISBN: 9780817640729

Category: Technology & Engineering

Page: 374

View: 9991

This book is intended to be an introduction to elasticity theory. It is as sumed that the student, before reading this book, has had courses in me chanics (statics, dynamics) and strength of materials (mechanics of mate rials). It is written at a level for undergraduate and beginning graduate engineering students in mechanical, civil, or aerospace engineering. As a background in mathematics, readers are expected to have had courses in ad vanced calculus, linear algebra, and differential equations. Our experience in teaching elasticity theory to engineering students leads us to believe that the course must be problem-solving oriented. We believe that formulation and solution of the problems is at the heart of elasticity theory. 1 Of course orientation to problem-solving philosophy does not exclude the need to study fundamentals. By fundamentals we mean both mechanical concepts such as stress, deformation and strain, compatibility conditions, constitu tive relations, energy of deformation, and mathematical methods, such as partial differential equations, complex variable and variational methods, and numerical techniques. We are aware of many excellent books on elasticity, some of which are listed in the References. If we are to state what differentiates our book from other similar texts we could, besides the already stated problem-solving ori entation, list the following: study of deformations that are not necessarily small, selection of problems that we treat, and the use of Cartesian tensors only.

Fairness and Effectiveness in Policing

The Evidence


Author: National Research Council,Division of Behavioral and Social Sciences and Education,Committee on Law and Justice,Committee to Review Research on Police Policy and Practices

Publisher: National Academies Press

ISBN: 0309289653

Category: Law

Page: 430

View: 2900

Because police are the most visible face of government power for most citizens, they are expected to deal effectively with crime and disorder and to be impartial. Producing justice through the fair, and restrained use of their authority. The standards by which the public judges police success have become more exacting and challenging. Fairness and Effectiveness in Policing explores police work in the new century. It replaces myths with research findings and provides recommendations for updated policy and practices to guide it. The book provides answers to the most basic questions: What do police do? It reviews how police work is organized, explores the expanding responsibilities of police, examines the increasing diversity among police employees, and discusses the complex interactions between officers and citizens. It also addresses such topics as community policing, use of force, racial profiling, and evaluates the success of common police techniques, such as focusing on crime “hot spots.†It goes on to look at the issue of legitimacyâ€"how the public gets information about police work, and how police are viewed by different groups, and how police can gain community trust. Fairness and Effectiveness in Policing will be important to anyone concerned about police work: policy makers, administrators, educators, police supervisors and officers, journalists, and interested citizens.

Nonlinear Solid Mechanics

Theoretical Formulations and Finite Element Solution Methods


Author: Adnan Ibrahimbegovic

Publisher: Springer Science & Business Media

ISBN: 9048123305

Category: Computers

Page: 574

View: 3906

This book offers a recipe for constructing the numerical models for representing the complex nonlinear behavior of structures and their components, represented as deformable solid bodies. Its appeal extends to those interested in linear problems of mechanics.