The learning curve equation

By L. Thurstone

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A state-of-the-art review on scheduling with learning effects (2008, background): “To overcome this discrepancy the younger learning literature distinguishes autonomous learning (called ‘learning-by-doing’ or ‘Horndal-Effect’) and induced learning (see, for example, Adler and Clark, 1991 or Upton and Kim, 1998).”
Conceptualizing and Testing a Social Cognitive Model of the Digital Divide (2011, background): “One plausible explanation is that students with home computers may be nearer to the center of the S-learning curve (Thurstone 1919, Zangwill and Kantor 2000) where they are in a better position to gain from high-quality school IT training (Wiedenbeck et al. 1999).”
Individual Experience and Experience Working Together: Predicting Learning Rates from Knowing Who Knows What and Knowing How to Work Together (2005, methodology): “A long tradition of research in psychology has examined reductions in the time required to perform a task as an indicator of learning (Thorndike 1898, Thurstone 1919, Graham and Gagne 1940).”
The exponential learning equation as a function of successful trials results in sigmoid performance (2010, unknown): “This may have contributed to the preference of the exponential over the sigmoid model to describe learning, as the former is better linked to underlying neurobiological behavior (Thurstone, 1919; and others reviewed in Newell et al., 2001 and Gallistel et al., 2004).”