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Which Cognitive Abilities Make the Difference? Predicting Academic Achievements in Advanced STEM Studies
Previous research has shown that psychometrically assessed cognitive abilities are predictive of achievements in science, technology, engineering and mathematics (STEM) even in highly selected samples. Spatial ability, in particular, has been found to be crucial for success in STEM, though its role...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480791/ https://www.ncbi.nlm.nih.gov/pubmed/31162475 http://dx.doi.org/10.3390/jintelligence6040048 |
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author | Berkowitz, Michal Stern, Elsbeth |
author_facet | Berkowitz, Michal Stern, Elsbeth |
author_sort | Berkowitz, Michal |
collection | PubMed |
description | Previous research has shown that psychometrically assessed cognitive abilities are predictive of achievements in science, technology, engineering and mathematics (STEM) even in highly selected samples. Spatial ability, in particular, has been found to be crucial for success in STEM, though its role relative to other abilities has been shown mostly when assessed years before entering higher STEM education. Furthermore, the role of spatial ability for mathematics in higher STEM education has been markedly understudied, although math is central across STEM domains. We investigated whether ability differences among students who entered higher STEM education were predictive of achievements during the first undergraduate year. We assessed 317 undergraduate students in Switzerland (150 from mechanical engineering and 167 from math-physics) on multiple measures of spatial, verbal and numerical abilities. In a structural equation model, we estimated the effects of latent ability factors on students’ achievements on a range of first year courses. Although ability-test scores were mostly at the upper scale range, differential effects on achievements were found: spatial ability accounted for achievements in an engineering design course beyond numerical, verbal and general reasoning abilities, but not for math and physics achievements. Math and physics achievements were best predicted by numerical, verbal and general reasoning abilities. Broadly, the results provide evidence for the predictive power of individual differences in cognitive abilities even within highly competent groups. More specifically, the results suggest that spatial ability’s role in advanced STEM learning, at least in math-intensive subjects, is less critical than numerical and verbal reasoning abilities. |
format | Online Article Text |
id | pubmed-6480791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64807912019-05-29 Which Cognitive Abilities Make the Difference? Predicting Academic Achievements in Advanced STEM Studies Berkowitz, Michal Stern, Elsbeth J Intell Article Previous research has shown that psychometrically assessed cognitive abilities are predictive of achievements in science, technology, engineering and mathematics (STEM) even in highly selected samples. Spatial ability, in particular, has been found to be crucial for success in STEM, though its role relative to other abilities has been shown mostly when assessed years before entering higher STEM education. Furthermore, the role of spatial ability for mathematics in higher STEM education has been markedly understudied, although math is central across STEM domains. We investigated whether ability differences among students who entered higher STEM education were predictive of achievements during the first undergraduate year. We assessed 317 undergraduate students in Switzerland (150 from mechanical engineering and 167 from math-physics) on multiple measures of spatial, verbal and numerical abilities. In a structural equation model, we estimated the effects of latent ability factors on students’ achievements on a range of first year courses. Although ability-test scores were mostly at the upper scale range, differential effects on achievements were found: spatial ability accounted for achievements in an engineering design course beyond numerical, verbal and general reasoning abilities, but not for math and physics achievements. Math and physics achievements were best predicted by numerical, verbal and general reasoning abilities. Broadly, the results provide evidence for the predictive power of individual differences in cognitive abilities even within highly competent groups. More specifically, the results suggest that spatial ability’s role in advanced STEM learning, at least in math-intensive subjects, is less critical than numerical and verbal reasoning abilities. MDPI 2018-10-26 /pmc/articles/PMC6480791/ /pubmed/31162475 http://dx.doi.org/10.3390/jintelligence6040048 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Berkowitz, Michal Stern, Elsbeth Which Cognitive Abilities Make the Difference? Predicting Academic Achievements in Advanced STEM Studies |
title | Which Cognitive Abilities Make the Difference? Predicting Academic Achievements in Advanced STEM Studies |
title_full | Which Cognitive Abilities Make the Difference? Predicting Academic Achievements in Advanced STEM Studies |
title_fullStr | Which Cognitive Abilities Make the Difference? Predicting Academic Achievements in Advanced STEM Studies |
title_full_unstemmed | Which Cognitive Abilities Make the Difference? Predicting Academic Achievements in Advanced STEM Studies |
title_short | Which Cognitive Abilities Make the Difference? Predicting Academic Achievements in Advanced STEM Studies |
title_sort | which cognitive abilities make the difference? predicting academic achievements in advanced stem studies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480791/ https://www.ncbi.nlm.nih.gov/pubmed/31162475 http://dx.doi.org/10.3390/jintelligence6040048 |
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