Music education and its effect on intellectual abilities in children: A systematic review
Abstract
Far transfer between music education and other cognitive skills, such as academic achievement, has been widely examined. However, the results of studies within similar cognitive domains are found to be inconclusive or contradictory. These differences can be traced back to the analytical methods used, differences in the forms of music education studied and differences in neural activation during the processing of these tasks. In order to gain a better picture of the relationships involved, a literature survey was performed in leading databases, such as PubMed/MedLine, psychINFO, ScienceDirect, Embase, ERIC, ASSIA and Jstor from January 2001 to January 2013. All studies included, concerned the far transfer from music education to other cognitive skills in children aged 4-13 years as compared with controls. These studies were independently selected and their quality was assessed by two authors. This systematic review shows the need to address methodological and analytical questions in greater detail. There is a general need to unify methods used in music education research. Furthermore, the hypothesis that intellectual skills, such as mathematics, reading, writing and intelligence can be divided into sub-functions, needs to be examined as one approach to the problems considered here. When this has been done, detailed analysis of cognitive transfer from music education to other disciplines should become possible.
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One of the greatest sources of variability in previous meta-analyses is the vague and inconsistent definition of musical training.
“Probably, one of the greatest sources of variability is the vague and inconsistent definition of musical training across meta-analyses (Jaschke et al., 2013)”
From Please don't stop the music: A meta-analysis of the cognitive and academic benefits of instrumental musical training in childhood and adolescence (2022) · cites this paper as Jaschke et al., 2013
Cites
When and where do we apply what we learn?: A taxonomy for far transfer
Barnett, S. M., & Ceci, S. J. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.4.612 · Cited by 2,076 · cited 2× · see citing works
“…of Clinical Neuropsychology, VU University Amsterdam, NL-1081 BT Amsterdam, The Netherlands Henkjan Honing: Department of Musicology, the institute for Logic, Language and Computation and the Cognitive Science Center Amsterdam, University of Amsterdam, NL 1098 XH Amsterdam, The Netherlands”
BackgroundThe influence of improvement in one mental function upon the efficiency of other functions. (I).
Woodworth, R. S., & Thorndike, E. L. (1901) · Psychological Review · doi:10.1037/h0074898 · Cited by 1,223 · see citing works
Anvari, S. H., Trainor, L. J., Woodside, J., & Levy, B. A. (2002) · Journal of Experimental Child Psychology · doi:10.1016/s0022-0965(02)00124-8 · Cited by 670 · see citing works
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Román-Caballero, R., Vadillo, M. A., Trainor, L. J., & Lupiáñez, J. (2022) · Educational Research Review · doi:10.1016/j.edurev.2022.100436 · Cited by 118 · see citing works
- Authors
- Jaschke, A. C., Eggermont, L. H. P., Honing, H., & Scherder, E. J. A.
- Affiliations
- Vrije Universiteit Amsterdam (NL)
- University of Amsterdam (NL)
- Corresponding author
- Jaschke, Artur C.
- Venue
- Reviews in the Neurosciences
- Publisher
- Walter de Gruyter GmbH
- Published
- 2013-01-01
- Volume
- 24
- Issue
- 6
- Pages
- 665-75
- ISSN
- 0334-1763 (ISSN-L)
- 2191-0200
- OpenAlex
- W2128308617
- Cited by
- 84
- References
- 3
- Citations by year
- 2026: 5 · 2025: 3 · 2024: 9 · 2023: 7 · 2022: 28 · 2021: 4 · 2020: 5 · 2019: 5 · 2018: 5 · 2017: 4 · 2016: 2 · 2015: 5 · 2014: 1 · 2013: 1
- FWCI
- 32.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Reviews in the Neurosciences (publishedVersion)
- PubMed (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion)
- VU Research Portal (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Social Sciences › Arts and Humanities › Music › Diverse Music Education Insights
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Social Sciences › Education › Music Education and Analysis
- Keywords
- music education, far transfer, transfer of learning, intellectual ability, children, academic performance, mathematics, reading, writing, intelligence, neuronal activation, methodological issues
- MeSH terms
- Child, Child Development, Cognition, Humans, Intelligence, Music, Transfer, Psychology
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