The Learning Curve Equation (Classic Reprint): A Dissertation Submitted to the Faculty, of the Graduate School of Arts and Literature in Candidacy for the Degree of Doctor of Philosophy - Softcover
Synopsis
Unlock the math behind how we learn. This study lays out a practical approach to analyzing learning data with statistics, and explains how to model progress using the learning curve equation.
The work surveys methods for treating learning data, discusses the meaning of correlation, and shows how to interpret and apply empirical equations to real-world tasks. It also delves into the popular learning-curve form, examines its limitations, and demonstrates its use with a typewriter-learning example. The discussion emphasizes balancing measurement certainty with statistical clarity, and warns against overreliance on crude scores when study conditions vary.
- Learn how correlation and partial correlation help separate true relationships from confounding factors.
- Explore the hyperbolic speed-amount curve and how it informs predictions of practice limits.
- See how to fit empirical equations to data, check for initial acceleration, and interpret the implications for learning research.
- Understand practical steps for designing experiments that yield meaningful learning curves under varying conditions.
Ideal for readers of psychology, statistics, and education who want a clear, method‑driven view of how learning curves are derived and applied.
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The Learning Curve Equation: A Dissertation Submitted to the Faculty
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Paperback. Condition: New. Print on Demand. This book delves into the field of learning, investigating the relationship between practice and improvement. The author examines various statistical and empirical equations, proposing a standardized learning curve equation to quantify the learning process. By dissecting the learning curve into its constituent elements - the practice limit, the rate of learning, and previous experience - the book provides a comprehensive framework for understanding the dynamics of learning. The author demonstrates the practical application of this equation to real-world data, using typewriting as a case study. The analysis yields insights into the writing speed, errors, and variability of individual learners, revealing patterns and correlations among these characteristics. The book concludes by highlighting the significance of these findings, emphasizing their potential to enhance our understanding of the learning process and its implications for education and training. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781330595350_0
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The Learning Curve Equation A Dissertation Submitted to the Faculty, of the Graduate School of Arts and Literature in Candidacy for the Degree of Doctor of Philosophy Classic Reprint
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781330595350
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The Learning Curve Equation A Dissertation Submitted to the Faculty, of the Graduate School of Arts and Literature in Candidacy for the Degree of Doctor of Philosophy Classic Reprint
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781330595350
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The Learning Curve Equation : A Dissertation Submitted to the Faculty, of the Graduate School of Arts and Literature in Candidacy for the Degree of Doctor of Philosophy (Classic Reprint)
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. Seller Inventory # 25818696/1