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HUMAN LEARNING: From Learning Curves to Learning Organizations

  • Book
  • © 2000

Overview

Authors:
  1. Ezey M. Dar-Ei

    1. Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology, Haifa, Israel

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Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 29)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Introduction to Human Learning

    • Ezey M. Dar-Ei
    Pages 1-7

  3. Factors That Influence the Learning Curve

    • Ezey M. Dar-Ei
    Pages 9-24

  4. Summary of Learning Models · No Forgetting

    • Ezey M. Dar-Ei
    Pages 25-55

  5. Determining the Power Curve Learning Curve Parameters

    • Ezey M. Dar-Ei
    Pages 57-75

  6. A Summary of Learning Models with Forgetting

    • Ezey M. Dar-Ei
    Pages 77-97

  7. Applications (With & Without Forgetting)

    • Ezey M. Dar-Ei
    Pages 99-133

  8. Cost Models for Optimal Training Schedules

    • Ezey M. Dar-Ei
    Pages 135-158

  9. Learning in the Plant: The Beginnings of Organizational Learning

    • Ezey M. Dar-Ei
    Pages 159-183

  10. Learning Organizations

    • Ezey M. Dar-Ei
    Pages 185-209

  11. A Summary and Future Research on Human Learning

    • Ezey M. Dar-Ei
    Pages 211-215

  12. Back Matter

    Pages 217-236
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Keywords

About this book

Learning plays a fundamental role in the production planning and growth of all organizations. With the need for more rapid changes in the global economy, the management of organizational change is a key factor in sustaining competitiveness in today's economy. This book has been developed with these `learning needs' in mind. Human Learning:From Learning Curves to Learning Organizations covers a broad range of learning models and related topics beginning with learning curves to recent research on learning organizations. The book's focus is to enable researchers and practitioners to forecast any organization's `learning needs' using the prediction aspects of an array of learning models.
The book includes research and application discussions on topics such as accounting for previous experience; the `learning-forgetting-relearning' phenomenon; parameter estimation with no previous experience; DeJong's incompressibility model; predictive learning models requiring only two learning parameters; long learning cycle times; the speed-error relationship; evaluating the cost of learning from the point of view of safety; and an examination of Learning Organizations. Each chapter is developed from published research and worked examples are used throughout.

Authors and Affiliations

  • Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology, Haifa, Israel

    Ezey M. Dar-Ei

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