Long-term associative learning predicts verbal short-term memory performance.

Gary Jones, Bill Macken
Author Information
  1. Gary Jones: Department of Psychology, Nottingham Trent University, 50 Shakespeare Street, Nottingham, NG1 4FQ, UK. gary.jones@ntu.ac.uk.
  2. Bill Macken: School of Psychology, Cardiff University, Cardiff, UK.

Abstract

Studies using tests such as digit span and nonword repetition have implicated short-term memory across a range of developmental domains. Such tests ostensibly assess specialized processes for the short-term manipulation and maintenance of information that are often argued to enable long-term learning. However, there is considerable evidence for an influence of long-term linguistic learning on performance in short-term memory tasks that brings into question the role of a specialized short-term memory system separate from long-term knowledge. Using natural language corpora, we show experimentally and computationally that performance on three widely used measures of short-term memory (digit span, nonword repetition, and sentence recall) can be predicted from simple associative learning operating on the linguistic environment to which a typical child may have been exposed. The findings support the broad view that short-term verbal memory performance reflects the application of long-term language knowledge to the experimental setting.

Keywords

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MeSH Term

Association Learning
Child
Child Development
Female
Humans
Male
Memory, Long-Term
Memory, Short-Term
Mental Recall
Models, Psychological

Word Cloud

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