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Title A model for stochastic drift in memory strength to account for judgments of learning
Author/s Sverker Sikström, F Jonsson
Department/s Cognitive Science
Full-text Full text is not available in this archive
Alternative location (URL) http://dx.doi.org/10.1037/0033... Restricted Access (Alternative Location)
Publication/Series Psychological Review
Publishing year 2005
Volume 112
Issue 4
Pages 932 - 950
Document type Journal article
Status published
Quality controlled yes
Language English
Publisher American Psychological Association
Abstract English Previous research has shown that judgments of learning (JOLs) made immediately after encoding have a low correlation with actual cued-recall performance, whereas the correlation is high for delayed,judgments. In this article, the authors propose a formal theory describing the stochastic drift of memory strength over the retention interval to account for the delayed-JOL effect. This is done by first decomposing the aggregated memory strength into exponential functions with slow and fast memory traces. The mean aggregated memory strength shows power-function forgetting curves. The drift of the memory strength is large for immediate JOLs (causing a low predictability) and weak for delayed JOLs (causing a high predictability). Consistent with empirical data, the model makes a novel prediction of JOL asymmetry, or that immediate weak JOLs are more predictive of future performance than are immediate strong JOLs. The JOL distributions for immediate and delayed JOLs are also accounted for.
Subject Philosophy and Religion
Keywords judgments of learning, metamemory, model, stochastic drift
ISBN/ISSN/Other ISSN: 0033-295X

 

 

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