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The Psychology of Expertise

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Cover of 'The Psychology of Expertise'

Table of Contents

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    Book Overview
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    Chapter 1 Doing Psychology in an AI Context: A Personal Perspective and Introduction to This Volume
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    Chapter 2 Knowledge and Knowledge Acquisition in the Computational Context
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    Chapter 3 Modeling Human Expertise in Expert Systems
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    Chapter 4 Mental Models and the Acquisition of Expert Knowledge
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    Chapter 5 Conceptual Analysis as a Basis for Knowledge Acquisition
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    Chapter 6 Implications of Cognitive Theory for Knowledge Acquisition
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    Chapter 7 Knowledge Acquisition and Constructivist Epistemology
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    Chapter 8 Eliciting and Using Experiential Knowledge and General Expertise
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    Chapter 9 Managing and Documenting the Knowledge Acquisition Process
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    Chapter 10 Using Knowledge Engineering to Preserve Corporate Memory
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    Chapter 11 On Being an Expert: A Cost-Benefit Analysis
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    Chapter 12 Mnemonics and Expert Knowledge: Mental Cuing
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    Chapter 13 The Role of General Ability in Cognitive Complexity: A Case Study of Expertise
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    Chapter 14 Expert-Novice Differences and Knowledge Elicitation
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    Chapter 15 When Novices Elicit Knowledge: Question Asking in Designing, Evaluating, and Learning to Use Software
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    Chapter 16 The Programmer’s Burden: Developing Expertise in Programming
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    Chapter 17 The Psychology of Expertise and Knowledge Acquisition: Comments on the Chapters in This Volume
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Citations

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Title
The Psychology of Expertise
Published by
Springer New York, January 1992
DOI 10.1007/978-1-4613-9733-5
ISBNs
978-1-4613-9735-9, 978-1-4613-9733-5
Editors

Robert R. Hoffman Ph.D.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 9%
United States 1 9%
Unknown 9 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Professor 1 9%
Student > Bachelor 1 9%
Student > Master 1 9%
Student > Doctoral Student 1 9%
Other 0 0%
Unknown 5 45%
Readers by discipline Count As %
Sports and Recreations 2 18%
Economics, Econometrics and Finance 1 9%
Linguistics 1 9%
Business, Management and Accounting 1 9%
Engineering 1 9%
Other 0 0%
Unknown 5 45%