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Index
Cover
Halftitle page
Title Page
Copyright page
Acknowledgments
Summary Table of Contents
Table of Contents
List of Contributors
1. An Introduction to the Handbook, Communities of Practice, and Definitions of Expertise
Introduction
Past and Current Communities of Practice and Definitions of Expertise
Outline of the Oxford Handbook of Expertise
Section One: Characterizing Expertise: Frameworks, Theories, and Models
Section Editor: Jan Maarten Schraagen
2. The Classic Expertise Approach and its Evolution
Introduction
De Groot’s Research on Chess
Simon’s Early Computer Models of Chess Cognition
Chase and Simon’s Seminal Papers
Key Empirical Work in the Classic Expertise Approach
Key Theoretical Work in the Classic Expertise Approach
Outgrowths of the Classic Approach to Expertise
Characteristics of the Classic Expertise Approach
Looking at the Future
Conclusion
3. Domain-General Models of Expertise: The Role of Cognitive Ability
Domain-General Models of Expertise: The Role of Cognitive Ability
Review of Evidence for Role of Cognitive Ability in Expertise
Discussion
Potential Uses of Cognitive Ability Measures to Accelerate Acquisition of Expertise
Conclusions
4. Studies of Expertise and Experience: A Sociological Perspective on Expertise
Introduction
Three Waves of STS
Theoretical and Methodological Innovations
Applications and Future Challenges
5. Giftedness and Talent Development in Children and Youth
Introduction
Who Are the Gifted and Talented?
Brief History of Gifted Education
Alternative Ways of Conceptualizing Giftedness
Tripartite Model of Giftedness
Concluding Comments
6. Neural Mechanisms of Expertise
Introduction
Neuroanatomical Correlates of Expertise
Functional Neural Correlates of Expertise
Neurobiological Models of Expertise—A Multifactorial Perspective
7. Modeling Experts with Fast-and-Frugal Heuristics
Introduction
The Conceptual Framework of the Fast-and-Frugal Heuristics Program
The Fast-and-Frugal Heuristics Account of Expertise
Conclusion
8. Expertise: A Holistic, Experience-Centered Perspective
Introduction
Structuralism versus Functionalism
Misleading Dichotomies and Confusion
A Holistic Experience-Centered Alternative
An Adaptive Control Model
What Makes a Good Representation?
Vicente and Wang (1998) Revisited
An Experience-Centered Approach
9. Macrocognitive Models of Expertise
Introduction
What is Macrocognition?
Three Macrocognitive Models
Future Directions
Conclusion
10. Cognitive Systems Engineering: Expertise in Sociotechnical Systems
Introduction
Sociotechnical Systems
Adaptation in the Workplace
Self-Organization
Theoretical Implications
Design Implications
Discussion
11. Is Expertise All in the Mind? How Embodied, Embedded,Enacted, Extended, Situated, and Distributed Theories of Cognition Account for Expert Performance
Introduction
Philosophical Foundations
Exploring Affordances
Concluding Remarks
Conclusions
12. Adaptive Expertise
Introduction
What is Adaptive Expertise?
Development of Adaptive Expertise in Informal Settings
Measuring Adaptive Expertise
Teaching for Adaptive Expertise
Summary
II Methods to Study, Test, Analyse, and Represent Expertise
Section Editor: Emilie Roth
13. Representative Test and Task Development and Simulated Task Environments
Introduction
Representative Tasks and Simulated Task Environments
The Application of Representative Tasks and Simulated Task Environments for Studying Expertise and Expert Performance
The Application of Representative Tasks and Simulated Task Environments for Developing Training Based on the Study of Expertise and Expert Performance
Recent Example Applications of Representative Tasks and Simulated Task Environments for Studying Expertise and Expert Performance
Future Directions and Concluding Remarks
14. Developing Mastery Models to Support the Acquisition and Assessment of Expertise
Introduction
Foundations of the Mastery Model Approach
Structure of the Mastery Model
Process of Model Development
Mastery Model Application
Enhancing Mastery Model Development and Application
Conclusion
15. Computational Models of Expertise
Introduction
Computational Models of Data versus Process
The Cognitive Architecture Approach
Acquisition of Expertise in ACT-R
Domain-Specific Computational Models of Expertise
Assessing the State of the Science
Future Research Directions
Conclusions
16. Studying Expert Behavior in Sociotechnical Systems: Hierarchical Task Analysis
Introduction
Hierarchical Task Analysis
Case Study Example: Studying Behavior of Railway Level Crossings and of Railway Level Crossing Systems
Strengths and Weaknesses of HTA
Summary
17. A Historical Perspective on Introspection: Guidelines for Eliciting Verbal and Introspective-Type Reports
Introduction
An Abridged History of Introspection
From Selz to Current Methods of Thinking Aloud
Types of Verbal Reports of Thinking Used to Study Expertise Today
Guidance on Collecting Verbal Reports of Thinking
Concluding Remarks
18. Close to Practice Qualitative Research Methods
Introduction
Why is Qualitative Research Needed?
What is (Different about) Qualitative Research?
Qualitative Studies That Have Changed Our Understanding of Expertise
Key Considerations in Qualitative Research
Conclusions, Future Directions, and Recommendations
19. Incident-based Methods for Studying Expertise
Introduction
Types of Incident-Based Interview Methods
Analyzing Data from Incident-Based Interviews
Products
Practical Issues
Future Directions
Summary and Conclusion
20. Cognitive Work Analysis: Models of Expertise
Introduction
The Abstraction Hierarchy: Model of Expert Reasoning
The Decision Ladder: Differences in Processing
Strategies Analysis: Looking at Differences
Worker Competencies
Designing to Support Expertise
Future Direction: Developing Expertise
Summary
21. Reflections on the Professional Practice of Knowledge Capture
Introduction
Praxis
Professionalism
Future Directions
22. Stress, Skilled Performance, and Expertise: Overload and Beyond
Introduction
A Standard Capacity Model for Stress and Skilled Performance
Conclusions
III Domains and Applications
Section Editor: Julie Gore
23. Expertise in STEM Disciplines
Introduction
Importance of Recognizing Distinct STEM Disciplines
Mechanisms of Reasoning in STEM Disciplines
Recognition of Expert Performance in STEM Fields
Factors Contributing to the Development of Expertise in Scientific Research
Future Directions
24. A Cognitive Examination of Skill and Expertise in Word Games and Puzzles
Introduction
A Cognitive Taxonomy of Word Games and Puzzles
Expert Ability in Word Games
Expert Crossword Solution Times as a Function of Difficulty
Strategy versus Memory Skills in Crossword Experts
Cognitive Skills Associated with Expertise in Word Games
Practice among Word Game Experts
Summary and Conclusions
25. Musical Expertise
Introduction
Music’s Role in the Development of the Theory of Expertise
Defining Music Experts
Deliberate Practice
Differences between Experts and Novices
Conclusion
26. Skilled Anticipation in Sport: Past, Present, and Future
Introduction
The First Few Decades of Research: A Restricted Focus on Identifying Postural Cues and Efforts to Enhance Methods and Measurement Sensitivity
The New Millennium_ A Focus on Identifying Perceptual–Cognitive Skills Other Than Postural Cue Usage and Examining How These Interact in Dynamic Environments
A Contemporary Perspective: Presenting a Broader Context for the Study of Skilled Anticipation
Back to the Future: New Directions
27. Diagnostic Reasoning and Expertise in Health care
Introduction
History and Evolving Perspectives on Diagnostic Reasoning
Complexity and Expertise in Diagnostic Reasoning
Expertise and Deviations from Standard Protocol
Technology-Mediated Diagnostic Reasoning and Expertise
Conclusions and Future Directions
28. Fire fighting and Emergency Responding
Introduction
Descriptive Approaches to the Assessment of Expertise in Emergencies
Experimental Approaches to the Assessment of Expertise in Emergencies
Inferential Approaches to the Study of Expertise in Emergency Situations
Developing, Maintaining, and Losing Expertise in Managing Emergencies
Future Directions
Conclusion
29. Expertise in Aviation
Introduction
Aviation Tasks
Expertise in Aviation
Conclusions
30. Uncovering Expertise for Safe and Efficient Performance in Railroad Operations
Introduction
Changing Landscape
Unearthing Expertise in Railroad Operations: Research and Practice
Exhibited Expertise Contributing to Safe and Efficient Operation
More Than the Sum of Its Parts: Strategies for Operating as Cooperating Teams
Impact of New Technologies on Expert Strategies
Forward Thinking: What May Be the Nature of Expertise in Railroad Operations in Coming Decades?
31. The Cyber Domains: Understanding Expertise for Network Security
Introduction
Evolution of the Cyber Domains
Work Roles in the Cyber Domains
Cyber Education and Training
The Complexities of Cyber Expertise
Current Cyber Research
Cyber Situational Awareness in Intrusion Detection
Teamwork in Intrusion Detection
Future Directions for Cyber Expertise Research
Disclaimer
32. Expertise in Intelligence Analysis
Introduction
Intelligence Analysis Overview
Studies of Expertise in Intelligence Analysis
Implications
Conclusions
33. Expertise in Law Enforcement
Introduction
Conceptualizations of Expertise in Law Enforcement
Challenges to Conducting Expertise Research in Law Enforcement
Illustrative Examples of How Research Has Been Conducted in the Context of Expertise in Law Enforcement
Key Insights: Task-Specific Expertise
Future Directions
34. Military Expertise
Introduction
The Value of Developing Military Expertise
Military Decision-Making
Categories of Military Expertise
Military Expertise as a Cognitive Capability
Final Word
35. Expertise in Business: Evolving with a Changing World
Setting the Scene of Expertise in Business
Our Methods and What We Learned
Conclusion and Further Work
36. Teamwork in Spaceflight Operations
Apollo 13: An Example of Teamwork in Spaceflight Operations
Mission Control and Space Crew as a Multiteam System
Collaboration between Mission Control and Space Crew
Future Research
37. Developing Operator Expertise on Nuclear Power Production Facilities and Oil & Gas Installations
Introduction
Continuous Process Operations on Nuclear Power Plant and Offshore Oil & Gas Installations
Identifying Expertise in Routine Operating Conditions
Identifying Expertise in Nonroutine or Emergency Conditions
Techniques for Developing Expertise in High Hazard Environments
Overcoming Current and Future Challenges in Developing Expertise in High-Hazard Environments
38. Expertise in Weather Forecasting
Introduction
Educational, Training, and Mentoring Issues in Learning to Forecast
How Weather Forecasters Cope with Uncertainty
Reasoning Styles and Strategies
Modeling the Knowledge and Reasoning of Expert Forecasters
Conclusions
IV Developing, Accelerating, and Preserving Expertise
Section Editor: Paul Ward
39. Expertise for the Future: A New Challenge for Education
Introduction
Forms of Teaching and Learning
Developing Teachers’ Expertise in Dialogic Teaching
Building Organizational Expertise for Dialogic Instruction
Next Steps
Conclusion
40. Learning with Zeal: From Deliberate Practice to Deliberate Performance
Introduction
Deliberate Practice and Training-Based Research
Deliberate Practice in Teaching and Teacher Education
Deliberate Practice in Medical and Surgical Education
Deliberate Practice and Expertise Training in Sports
Deliberate Performance to Accelerate Expertise in the Workplace
Models for Designing Expertise Training Activities and Programs
Future Directions for Expertise Training and Research
41. Cognitive Flexibility Theory and the Accelerated Development of Adaptive Readiness and Adaptive Response to Novelty
Introduction
Cognitive Flexibility Theory and a Solution to the Paradox of Novelty
Cognitive Flexibility Theory, Patterns of Oversimplification of Conceptual Complexity, Shields from Dealing with Complexity, and the Importance of Epistemic Worldviews in Adaptive Skill
Some Illustrative Features of Learning and Instruction in CFT-Based Environments: Deliberate Practice and Acceleration in the Fostering of Adaptive Skill
Societal Implications of Cognitive Flexibility Theory and Its Approach to Deliberately and Rapidly Developing Adaptive Skill: Preparation for Twenty-First-Century Jobs and Addressing Grand Social Challenges
42. Cognition and Expert-Level Proficiency in Intelligence Analysis
Introduction
Who Are the Experts?
Subdomain Specificity of Expertise
How Can We Measure the Performance of Intelligence Analysts?
Performance Measurement and Evaluation
Making What’s Important Measurable
How Do Expert Intelligence Analysts Reason?
Individual Differences and Styles
Training Challenges
Future Directions
Conclusions
Disclaimer
43. Team Reflection: A Catalyst of Team Development and the Attainment of Expertise
Introduction
Definition(s) of Team Reflection
Catalysts of Team Reflection
Critical Review of Previous Research and Avenues for Future Research
Conclusion
44. Learning at the Edge: The Role of Mentors, Coaches, and Their Surrogates in Developing Expertise
Introduction
Disentangling the Developmental Functions and Roles Associated with Mentoring, Coaching, and Preceptorship
Measuring Mentoring and Coaching and Their Effectiveness
Empirical Evidence of Effective and Expert Mentors, and Their Effect on Developing Experts
Concluding Remarks: Advancing Theory and Future Research
45. Acquiring and Maintaining Expertise in Aging Populations
Introduction
Expertise and Aging
Conclusions
46. Skill decay: The Science and Practice of Mitigating Skill Loss and Enhancing Retention
Introduction
Research Design and Methods: The Ideal versus the Prototypical
Mitigating Loss and Enhancing Retention
Conclusion
47. Expertise and Resilience
Introduction
What Is Resilience
Frontline Workers
Teams and Management
Organizations and Systems
Conclusion
48. Framing and Translating Expertise for Government
Introduction
A Primer on Government
Challenges in Government
The Overlap between Expertise and Values
Varieties of Expertise
Expertise and Evidence in Government
The Death of Expertise or Simply a Strawman Fallacy?
Conclusions
V Current Issues and the Future of Expertise Research
Section Editor: Paul Ward
49. The “War” on Expertise: Five Communities that Seek to Discredit Experts
Introduction
The Attack from the Decision Research Community
The Attack from the Heuristics and Biases Community
The Attack from Sociology Communities
The Attack from the Evidence-Based Practices Community
The Attack from Computer Science
Discussion
Dedication
50. Reflections on the Study of Expertise and Its Implications for Tomorrow’s World
Introduction
Why Are Experts Not Always Revered?
Expertise as Adaptive Skill
Measuring Expertise for Future Work
Future Areas of Research Needed
A Potential Way Forward
Name Index
Subject Index
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