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Multiple components of statistical word learning are resource dependent: Evidence from a dual-task learning paradigm

It is increasingly understood that people may learn new word/object mappings in part via a form of statistical learning in which they track co-occurrences between words and objects across situations (cross-situational learning). Multiple learning processes contribute to this, thought to reflect the...

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Autores principales: Roembke, Tanja C, McMurray, Bob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238696/
https://www.ncbi.nlm.nih.gov/pubmed/33733433
http://dx.doi.org/10.3758/s13421-021-01141-w
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author Roembke, Tanja C
McMurray, Bob
author_facet Roembke, Tanja C
McMurray, Bob
author_sort Roembke, Tanja C
collection PubMed
description It is increasingly understood that people may learn new word/object mappings in part via a form of statistical learning in which they track co-occurrences between words and objects across situations (cross-situational learning). Multiple learning processes contribute to this, thought to reflect the simultaneous influence of real-time hypothesis testing and graduate learning. It is unclear how these processes interact, and if any require explicit cognitive resources. To manipulate the availability of working memory resources for explicit processing, participants completed a dual-task paradigm in which a cross-situational word-learning task was interleaved with a short-term memory task. We then used trial-by-trial analyses to estimate how different learning processes that play out simultaneously are impacted by resource availability. Critically, we found that the effect of hypothesis testing and gradual learning effects showed a small reduction under limited resources, and that the effect of memory load was not fully mediated by these processes. This suggests that neither is purely explicit, and there may be additional resource-dependent processes at play. Consistent with a hybrid account, these findings suggest that these two aspects of learning may reflect different aspects of a single system gated by attention, rather than competing learning systems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.3758/s13421-021-01141-w.
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spelling pubmed-82386962021-07-09 Multiple components of statistical word learning are resource dependent: Evidence from a dual-task learning paradigm Roembke, Tanja C McMurray, Bob Mem Cognit Article It is increasingly understood that people may learn new word/object mappings in part via a form of statistical learning in which they track co-occurrences between words and objects across situations (cross-situational learning). Multiple learning processes contribute to this, thought to reflect the simultaneous influence of real-time hypothesis testing and graduate learning. It is unclear how these processes interact, and if any require explicit cognitive resources. To manipulate the availability of working memory resources for explicit processing, participants completed a dual-task paradigm in which a cross-situational word-learning task was interleaved with a short-term memory task. We then used trial-by-trial analyses to estimate how different learning processes that play out simultaneously are impacted by resource availability. Critically, we found that the effect of hypothesis testing and gradual learning effects showed a small reduction under limited resources, and that the effect of memory load was not fully mediated by these processes. This suggests that neither is purely explicit, and there may be additional resource-dependent processes at play. Consistent with a hybrid account, these findings suggest that these two aspects of learning may reflect different aspects of a single system gated by attention, rather than competing learning systems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.3758/s13421-021-01141-w. Springer US 2021-03-17 2021 /pmc/articles/PMC8238696/ /pubmed/33733433 http://dx.doi.org/10.3758/s13421-021-01141-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Roembke, Tanja C
McMurray, Bob
Multiple components of statistical word learning are resource dependent: Evidence from a dual-task learning paradigm
title Multiple components of statistical word learning are resource dependent: Evidence from a dual-task learning paradigm
title_full Multiple components of statistical word learning are resource dependent: Evidence from a dual-task learning paradigm
title_fullStr Multiple components of statistical word learning are resource dependent: Evidence from a dual-task learning paradigm
title_full_unstemmed Multiple components of statistical word learning are resource dependent: Evidence from a dual-task learning paradigm
title_short Multiple components of statistical word learning are resource dependent: Evidence from a dual-task learning paradigm
title_sort multiple components of statistical word learning are resource dependent: evidence from a dual-task learning paradigm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238696/
https://www.ncbi.nlm.nih.gov/pubmed/33733433
http://dx.doi.org/10.3758/s13421-021-01141-w
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