Decision-Based Learning

Decision-Based Learning

Author: Nancy Wentworth

Publisher: Emerald Group Publishing

Published: 2021-09-16

Total Pages: 208

ISBN-13: 180043202X

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In this book you will read stories told by faculty who have redesigned their university courses using the Decision-Based Learning pedagogy and the impact this powerful strategy can have on student learning. It should be of use to anyone teaching and designing curricula in higher education settings.


Transforming Teaching and Learning Through Data-Driven Decision Making

Transforming Teaching and Learning Through Data-Driven Decision Making

Author: Ellen B. Mandinach

Publisher: Corwin Press

Published: 2012-04-10

Total Pages: 281

ISBN-13: 1412982049

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"Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text's integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: assessment; statistics; instructional and differentiated psychology; classroom management."--Publisher's description.


Data-based Decision Making in Education

Data-based Decision Making in Education

Author: Kim Schildkamp

Publisher: Springer Science & Business Media

Published: 2012-09-18

Total Pages: 221

ISBN-13: 9400748159

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In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students’ assessments, classroom observations etc. This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are ‘best practice’ studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.


Goal-Directed Decision Making

Goal-Directed Decision Making

Author: Richard W. Morris

Publisher: Academic Press

Published: 2018-08-23

Total Pages: 486

ISBN-13: 0128120991

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Goal-Directed Decision Making: Computations and Neural Circuits examines the role of goal-directed choice. It begins with an examination of the computations performed by associated circuits, but then moves on to in-depth examinations on how goal-directed learning interacts with other forms of choice and response selection. This is the only book that embraces the multidisciplinary nature of this area of decision-making, integrating our knowledge of goal-directed decision-making from basic, computational, clinical, and ethology research into a single resource that is invaluable for neuroscientists, psychologists and computer scientists alike. The book presents discussions on the broader field of decision-making and how it has expanded to incorporate ideas related to flexible behaviors, such as cognitive control, economic choice, and Bayesian inference, as well as the influences that motivation, context and cues have on behavior and decision-making. - Details the neural circuits functionally involved in goal-directed decision-making and the computations these circuits perform - Discusses changes in goal-directed decision-making spurred by development and disorders, and within real-world applications, including social contexts and addiction - Synthesizes neuroscience, psychology and computer science research to offer a unique perspective on the central and emerging issues in goal-directed decision-making


Educational Goods

Educational Goods

Author: Harry Brighouse

Publisher: University of Chicago Press

Published: 2018-01-24

Total Pages: 201

ISBN-13: 022651417X

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This book, jointly authored by two distinguished philosophers and two prominent social scientists, has an ambitious aim: to improve decision-making in education policy. First they dive into the goals of education policy and explain the terms "educational goods" and "childhood goods," adding precision and clarity to the discussion of the distributive values that are essential for good decision-making about education. Then they provide a framework for individual decision-makers that enables them to combine values and evidence in the evaluation of educational policy options. Finally they delve into the particular policy issues of school finance, school accountability, and school choice, and they show how decision makers might approach them in the light of this decision-making framework. The authors are not advocated particular policy choices, however. The focus instead is a smart framework that will make it easier for policymakers (and readers) to identify and think through what they disagree with others about.


Reinforcement and Systemic Machine Learning for Decision Making

Reinforcement and Systemic Machine Learning for Decision Making

Author: Parag Kulkarni

Publisher: John Wiley & Sons

Published: 2012-08-14

Total Pages: 324

ISBN-13: 047091999X

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Reinforcement and Systemic Machine Learning for Decision Making There are always difficulties in making machines that learn from experience. Complete information is not always available—or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book takes a holistic approach to addressing that need and presents a new paradigm—creating new learning applications and, ultimately, more intelligent machines. The first book of its kind in this new and growing field, Reinforcement and Systemic Machine Learning for Decision Making focuses on the specialized research area of machine learning and systemic machine learning. It addresses reinforcement learning and its applications, incremental machine learning, repetitive failure-correction mechanisms, and multiperspective decision making. Chapters include: Introduction to Reinforcement and Systemic Machine Learning Fundamentals of Whole-System, Systemic, and Multiperspective Machine Learning Systemic Machine Learning and Model Inference and Information Integration Adaptive Learning Incremental Learning and Knowledge Representation Knowledge Augmentation: A Machine Learning Perspective Building a Learning System With the potential of this paradigm to become one of the more utilized in its field, professionals in the area of machine and systemic learning will find this book to be a valuable resource.


Decision Making: Neural and Behavioural Approaches

Decision Making: Neural and Behavioural Approaches

Author:

Publisher: Newnes

Published: 2013-01-10

Total Pages: 533

ISBN-13: 0444626077

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This well-established international series examines major areas of basic and clinical research within neuroscience, as well as emerging and promising subfields.This volume explores interdisciplinary research on decision making taking a neural and behavioural approach - Leading authors review the state-of-the-art in their field of investigation, and provide their views and perspectives for future research - Chapters are extensively referenced to provide readers with a comprehensive list of resources on the topics covered - All chapters include comprehensive background information and are written in a clear form that is also accessible to the non-specialist


Decision-Making Experiments under a Philosophical Analysis: Human Choice as a Challenge for Neuroscience

Decision-Making Experiments under a Philosophical Analysis: Human Choice as a Challenge for Neuroscience

Author: Gabriel José Corrêa Mograbi

Publisher: Frontiers Media SA

Published: 2015-10-15

Total Pages: 125

ISBN-13: 2889196682

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This introduction just aims to be a fast foreword to the special topic now turned into an e-book. The Editorial "Decision-Making Experiments under a Philosophical Analysis: Human Choice as a Challenge for Neuroscience" alongside with my opinion article "Neurophilosophical considerations on decision making: Pushing-up the frontiers without disregarding their foundations" play the real role of considering in more details the articles and the whole purpose of this e-book. What I must highlight in this foreword is that our intention with such a project was to deepen into the very foundations of our current paradigms in decision neuroscience and to philosophically moot its foundations and repercussions. Normal Science (a term coined by Philosopher Thomas Kuhn) works under a research consensus among a scientific community: A shared paradigm, consolidated methods, widespread convictions. Pragmatically, winning formulas must be kept, although, not at any cost. What differentiates a gifted and revolutionary scientist from a more bureaucratic colleague is the capacity and willingness of constantly reevaluating, depurating and refining his/her own paradigm. That is best strategy to avoid that a paradigm itself would gradually come under challenge. In my view, some achievements, in this sense, were brought about in our project. The e-book will be inspiring and informative for both neuroscientists that are concerned with the very foundations of their works and for philosophers that are not blind to empirical evidence. Kant once said: “Thoughts without content are empty, intuitions without concepts are blind”. Paraphrasing Kant we could say: Philosophy without science is empty, science without philosophy is blind.


Getting Started With Team-Based Learning

Getting Started With Team-Based Learning

Author: Jim Sibley

Publisher: Taylor & Francis

Published: 2023-07-03

Total Pages: 210

ISBN-13: 100097880X

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This book is written for anyone who has been inspired by the idea of Team-Based Learning (TBL) through his or her reading, a workshop, or a colleague’s enthusiasm, and then asks the inevitable question: how do I start?Written by five authors who use TBL in their teaching and who are internationally recognized as mentors and trainers of faculty making the switch to TBL, the book also presents the tips and insights of 46 faculty members from around the world who have adopted this teaching method.TBL is a uniquely powerful form of small group learning. It harnesses the power of teams and social learning with accountability structures and instructional sequences. This book provides the guidance, from first principles to examples of practice, together with concrete advice, suggestions, and tips to help you succeed in the TBL classroom. This book will help you understand what TBL is and why it is so powerful. You will find what you need to plan, build, implement, and use TBL effectively. This book will appeal to both the novice and the expert TBL teacher.