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Better Decision Making in Complex, Dynamic Tasks: Training with Human-Facilitated Interactive Learning Environments
Computer simulation-based education and training is a multi-billion dollar industry. With the increased complexity of organizational decision making, projected demand for computer simulation-based decisional aids is on the rise. The objective of this book is to enhance systematically our understanding of and gain insights into the general process by which human facilitated ILEs are effectively designed and used in improving users’ decision making in dynamic tasks. This book is divided into four major parts. Part I serves as an introduction to the subject of “decision making in dynamic tasks”, its importance and its complexity. Part II provides background material, drawing upon the relevant literature, for the development of an integrated process model on the effectiveness of human facilitated ILEs in improving decision making in dynamic tasks. Part III focuses on the design, development and application of Fish Bank ILE, in laboratory experiments, to gather empirical evidence for the validity of the process model. Finally, part IV presents a comprehensive analysis of the gathered data to provide a powerful basis for understating important phenomena of training with human facilitated simulation-based learning environments, thereby, help to drive critical lessons to be learned. This book provides the reader with both a comprehensive understanding of the phenomena encountered in decision making with human facilitated ILEs and a unique way of studying the effects of these phenomena on people’s ability to make better decision in complex, dynamic tasks. This book is intended to be of use to managers and practitioners, researchers and students of dynamic decision making. The background material of Part II provides a solid base to understand and organize the existing experimental research literature and approaches.
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Better Decision Making in Complex, Dynamic Tasks: Training with Human-Facilitated Interactive Learning Environments
Computer simulation-based education and training is a multi-billion dollar industry. With the increased complexity of organizational decision making, projected demand for computer simulation-based decisional aids is on the rise. The objective of this book is to enhance systematically our understanding of and gain insights into the general process by which human facilitated ILEs are effectively designed and used in improving users’ decision making in dynamic tasks. This book is divided into four major parts. Part I serves as an introduction to the subject of “decision making in dynamic tasks”, its importance and its complexity. Part II provides background material, drawing upon the relevant literature, for the development of an integrated process model on the effectiveness of human facilitated ILEs in improving decision making in dynamic tasks. Part III focuses on the design, development and application of Fish Bank ILE, in laboratory experiments, to gather empirical evidence for the validity of the process model. Finally, part IV presents a comprehensive analysis of the gathered data to provide a powerful basis for understating important phenomena of training with human facilitated simulation-based learning environments, thereby, help to drive critical lessons to be learned. This book provides the reader with both a comprehensive understanding of the phenomena encountered in decision making with human facilitated ILEs and a unique way of studying the effects of these phenomena on people’s ability to make better decision in complex, dynamic tasks. This book is intended to be of use to managers and practitioners, researchers and students of dynamic decision making. The background material of Part II provides a solid base to understand and organize the existing experimental research literature and approaches.
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Better Decision Making in Complex, Dynamic Tasks: Training with Human-Facilitated Interactive Learning Environments

Better Decision Making in Complex, Dynamic Tasks: Training with Human-Facilitated Interactive Learning Environments

by Hassan Qudrat-Ullah
Better Decision Making in Complex, Dynamic Tasks: Training with Human-Facilitated Interactive Learning Environments
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Better Decision Making in Complex, Dynamic Tasks: Training with Human-Facilitated Interactive Learning Environments

Better Decision Making in Complex, Dynamic Tasks: Training with Human-Facilitated Interactive Learning Environments

by Hassan Qudrat-Ullah

Overview

Computer simulation-based education and training is a multi-billion dollar industry. With the increased complexity of organizational decision making, projected demand for computer simulation-based decisional aids is on the rise. The objective of this book is to enhance systematically our understanding of and gain insights into the general process by which human facilitated ILEs are effectively designed and used in improving users’ decision making in dynamic tasks. This book is divided into four major parts. Part I serves as an introduction to the subject of “decision making in dynamic tasks”, its importance and its complexity. Part II provides background material, drawing upon the relevant literature, for the development of an integrated process model on the effectiveness of human facilitated ILEs in improving decision making in dynamic tasks. Part III focuses on the design, development and application of Fish Bank ILE, in laboratory experiments, to gather empirical evidence for the validity of the process model. Finally, part IV presents a comprehensive analysis of the gathered data to provide a powerful basis for understating important phenomena of training with human facilitated simulation-based learning environments, thereby, help to drive critical lessons to be learned. This book provides the reader with both a comprehensive understanding of the phenomena encountered in decision making with human facilitated ILEs and a unique way of studying the effects of these phenomena on people’s ability to make better decision in complex, dynamic tasks. This book is intended to be of use to managers and practitioners, researchers and students of dynamic decision making. The background material of Part II provides a solid base to understand and organize the existing experimental research literature and approaches.

Product Details

ISBN-13: 9783319079868
Publisher: Springer-Verlag New York, LLC
Publication date: 06/16/2014
Series: Understanding Complex Systems
Sold by: Barnes & Noble
Format: eBook
File size: 3 MB

Table of Contents

Preface.- PART ONE: INTRODUCTION TO DECISION MAKING IN COMPELX, DYNAMIC TASKS.- 1. Dynamic Decision Making and Learning: An Introduction.- PART TWO: DEVELOPMENT OF A PROCESS MODEL FOR BETETR DECISION MAKING.- 2. Empirical Evidence on Dynamic Decision Making and ILEs.- 3. Towards a Road to Success: The Development of the Integrated Process Model.- 4. Seeking the Truth: Human-Facilitated ILEs and Hypotheses Development.- PART THREE: SETTING THE STAGE FOR DECION MAKING AND LEARNING.- 5. Overexploitation of Renewables Abound: Modeling Fisheries Management.- 6. How to Develop the Managerial Practice Field, FishBakILE? HCI Design and Learning Principles in Service of DDM.- 7. On the Mechanics of Laboratory Experiments: The Experimental Design and Procedures.- PART FOUR: ON BETTER DECIONS MAKING IN DYNAMIC TASKS.- 8. Improving Performance in Fisheries Management Task.- 9. Developing Transfer Learning Skills: The 1-Layer Process Model.- 10. Decision Strategy and Performance in Dynamic Tasks: The 2-Layer Process Model.- 11. Pulling It Together: A Validated Process Model for DDM and Learning.- 12. The Greater Whole: Human-Facilitated ILEs and Better Decision-Making: Critical Lessons Learned.- 13. Making Better Decisions in Healthcare, Energy Policy and Education Sectors: Human-Facilitated ILEs in Action.- 14. Finale: A Road Map to Better Decision Making in Complex, Dynamic Tasks.- Additional Suggested Readings.- Appendices.- Index.
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