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Using working memory performance to predict mathematics performance 2 years on
A number of previous studies have used working memory components to predict mathematical performance in a variety of ways; however, there is no consideration of the contributions of the subcomponents of visuospatial working memory to this prediction. In this paper we conducted a 2-year follow-up to...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289789/ https://www.ncbi.nlm.nih.gov/pubmed/32651687 http://dx.doi.org/10.1007/s00426-020-01382-5 |
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author | Allen, Katie Giofrè, David Higgins, Steve Adams, John |
author_facet | Allen, Katie Giofrè, David Higgins, Steve Adams, John |
author_sort | Allen, Katie |
collection | PubMed |
description | A number of previous studies have used working memory components to predict mathematical performance in a variety of ways; however, there is no consideration of the contributions of the subcomponents of visuospatial working memory to this prediction. In this paper we conducted a 2-year follow-up to the data presented in Allen et al. (Q J Exp Psychol 73(2):239–248, 2020b) to ascertain how these subcomponents of visuospatial working memory related to later mathematical performance. 159 children (M age = 115.48 months) completed the maths test for this second wave of the study. Results show a shift from spatial–simultaneous influence to spatial–sequential influence, whilst verbal involvement remained relatively stable. Results are discussed in terms of their potential for education and future research. |
format | Online Article Text |
id | pubmed-8289789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-82897892021-08-05 Using working memory performance to predict mathematics performance 2 years on Allen, Katie Giofrè, David Higgins, Steve Adams, John Psychol Res Original Article A number of previous studies have used working memory components to predict mathematical performance in a variety of ways; however, there is no consideration of the contributions of the subcomponents of visuospatial working memory to this prediction. In this paper we conducted a 2-year follow-up to the data presented in Allen et al. (Q J Exp Psychol 73(2):239–248, 2020b) to ascertain how these subcomponents of visuospatial working memory related to later mathematical performance. 159 children (M age = 115.48 months) completed the maths test for this second wave of the study. Results show a shift from spatial–simultaneous influence to spatial–sequential influence, whilst verbal involvement remained relatively stable. Results are discussed in terms of their potential for education and future research. Springer Berlin Heidelberg 2020-07-10 2021 /pmc/articles/PMC8289789/ /pubmed/32651687 http://dx.doi.org/10.1007/s00426-020-01382-5 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Original Article Allen, Katie Giofrè, David Higgins, Steve Adams, John Using working memory performance to predict mathematics performance 2 years on |
title | Using working memory performance to predict mathematics performance 2 years on |
title_full | Using working memory performance to predict mathematics performance 2 years on |
title_fullStr | Using working memory performance to predict mathematics performance 2 years on |
title_full_unstemmed | Using working memory performance to predict mathematics performance 2 years on |
title_short | Using working memory performance to predict mathematics performance 2 years on |
title_sort | using working memory performance to predict mathematics performance 2 years on |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289789/ https://www.ncbi.nlm.nih.gov/pubmed/32651687 http://dx.doi.org/10.1007/s00426-020-01382-5 |
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