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Relations between executive function and academic achievement from ages 5 to 17 in a large, representative national sample.
Open accessAbstract
This study examined age-related changes in complex executive function (EF) in a large, representative sample (N = 2,036) aged 5 to 17 using the Cognitive Assessment System (CAS; Naglieri & Das, 1997a). Relations between complex EF and academic achievement were examined on a sub-sample (N = 1,395) given the Woodcock-Johnson Tests of Achievement-Revised (Woodcock & Johnson, 1989). Performance on the three complex EF tasks improved until at least age 15, although improvement slowed with increasing age and varied some across tasks. Moreover, the different developmental patterns in the correlations between completion time and accuracy provide clues to developmental processes. Examination of individual achievement subtests clarified the specific aspects of academic performance most related to complex EF. Finally, the correlation between complex EF and academic achievement varied across ages, but the developmental pattern of the strength of these correlations was remarkably similar for overall math and reading achievement, suggesting a domain-general relation between complex EF and academic achievement.
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“The difficulty of EF can be detrimental to academic performance in novel situations or when complex problem solving is necessary (Best et al., 2011).”
From Assessment of executive functions in school-aged children: A narrative review (2022) · cites this paper as Best et al., 2011
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“cognitive control has been established as a determining factor of academic performance [35,36].”
From Lifestyle Habits Predict Academic Performance in High School Students: The Adolescent Student Academic Performance Longitudinal Study (ASAP) (2019) · cites this paper as [35]
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“These behavioral findings align with both structural (e.g., Gogtay et al., 2004) and functional imaging studies (e.g., Casey et al., 1997; Durston et al., 2006) reporting a protracted development of the neural substrate supporting EF.”
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“Calculating requires less executive control because, as Best et al. (2011) suggest, it rather relates to the retrieval of factual J. Intell.”
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“Best et al. (2011) investigated the relationships between EFs and academic achievement among a sample of over 2,000 children and adolescents using the Planning scale of the Cognitive Assessment System (Naglieri & Das, 1997); they found that EFs were moderately correlated with success in both math…”
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“Academic performance was employed as a surrogate measurement of cognitive performance, in the same way as other previous works (Alloway & Alloway, 2010; Best et al., 2011), and considering its Mesh definition: “A quantitative or qualitative measure of intellectual, scholarly, or scholastic accomplishment.”
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“EF emerges as early as in the first year of life (Best et al., 2011) and is critical for later academic achievement (e.g., Sulik et al., 2018), better language development (e.g., Müller et al., 2009), better motor performance (e.g., Livesey et al., 2006) and fewer behavioral problems (e.g., Hughes…”
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Assessment of the Effects of Digital Educational Material on Executive Function Performance
Nieto-Márquez, N. L., Martínez, A. C., Baldominos, A., Petronila, A. G., & Nieto, M. Á. P. (2020) · Frontiers in Education · doi:10.3389/feduc.2020.545709 · Cited by 9
Barnes, S. P., Jones, S. M., & Bailey, R. J. (2022) · Developmental Science · doi:10.1111/desc.13355 · Cited by 7
Ison, M. S. (2020) · Psychology & Psychological Research International Journal · doi:10.23880/pprij-16000255 · Cited by 4
Editorial to the special issue on ‘On mechanisms of cognitive training and transfer in development’
Steinbeis, N., & McCrory, E. J. P. (2019) · Developmental Science · doi:10.1111/desc.12932 · Cited by 5
Cheng, S., Bull, R., Burns, E. C., & Múñez, D. (2024) · Learning and Individual Differences · doi:10.1016/j.lindif.2024.102570 · Cited by 8
Diagon, S. L., Jacquel, M., der Henst, J. V., & Prado, J. (2025) · PLoS ONE · doi:10.1371/journal.pone.0324547 · Cited by 4
“Indeed, studies have shown either cross-sectional associations or short-term longitudinal relations between measures of executive functions and success in reading and math in both kindergarten [38–40] and elementary school [41–43].”
Executive function intervention in the school context: A scoping review
Cassiano, R. G. M., Engeroff, M. A., Cidade, B. G., Martins, M. E. D. O., Barros, S. B. D. T., Canevazzi, S. G. L., Gaspardo, C. M., Dias, N. M., & Cardoso, C. D. O. (2025) · Applied Neuropsychology Child · doi:10.1080/21622965.2025.2579203 · Cited by 4
Ming, H., Zhang, F., Ren, Y., Jiang, Y., & Huang, S. (2026) · Current Psychology · doi:10.1007/s12144-026-09060-2 · Cited by 5
“…working memory, inhibitory control, and cognitive flexibility, enable children to hold and manipulate information, resist distractions, and adapt to changing task demands, are robust longitudinal predictors of academic achievement (Best et al., 2011; Jacob & Parkinson, 2015; Pascual et al., 2019).”
School entry skills and young adult outcomes
Burchinal, M., & Vandell, D. L. (2025) · Early Childhood Research Quarterly · doi:10.1016/j.ecresq.2025.01.004 · Cited by 6
How do different executive function components contribute to children's academic skills?
He, J., Xu, R., Yang, Y., Hoof, J. V., & Yang, X. (2025) · Cognitive Development · doi:10.1016/j.cogdev.2025.101589 · Cited by 6
García-Pérez-de-Sevilla, G., & Zapata-Lamana, R. (2025) · Children · doi:10.3390/children12060789 · Cited by 7
“Some relevant domains of cognitive functions that are closely related to learning and academic achievement in children and adolescents are attention [14], memory [11,15], language [16], creativity [17], and executive functions [18].”
Large-scale examination of hot and cool executive function in children born preterm
Menu, I., Duffy, M., Bhatia, T., Trapaga, S., John, J., Music, S., Nicholas, D., Yim, S., & Thomason, M. E. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101593 · Cited by 5
“EFs are for example associated with academic success (Ahmed et al., 2019; Best et al., 2011; Willoughby et al., 2019), and physical and mental health (Demetriou et al., 2018; Miller and Barnes., 2011; Yeo et al., 2021).”
Xu, T., Liu, X., He, H., Zhou, C., Hildebrandt, A., & Chen, F. (2025) · Advanced Science · doi:10.1002/advs.202504518 · Cited by 4
Fronza, F. C. A. O., Ferrari, E. P., de Freitas, K. T. D., & Cardoso, F. L. (2020) · ETD - Educação Temática Digital · doi:10.20396/etd.v22i1.8654037 · Cited by 5
Meesak, A.-M., Rozgonjuk, D., Õun, T., & Kikas, E. (2022) · Education 3-13 · doi:10.1080/03004279.2022.2137378 · Cited by 6
“In line with a number of previous studies (Reid et al. 2014; Best et al. 2011; Vitiello and Williford 2021; McClelland, Acock, and Morrison 2006) and our H1, children ’ s outcomes in assessed developmental areas are positively related.”
InfluentialKuroda, Y., Ishihara, T., & Kamijo, K. (2023) · Trends in Neuroscience and Education · doi:10.1016/j.tine.2023.100210 · Cited by 7
da Cunha, J. M., & Santo, J. B. (2023) · Frontiers in Education · doi:10.3389/feduc.2023.1000328 · Cited by 4
Unraveling the relationship between executive function and mind wandering in childhood ADHD
Hasan, F., Shah, H. P., Kam, J. W. Y., & Murias, K. (2024) · Child Neuropsychology · doi:10.1080/09297049.2024.2435545 · Cited by 6
“According to many studies, EF skills can predict children’s educational, cognitive, emotional, and social success (Best et al., 2009, 2011; Gerst et al., 2017; Peng et al., 2018).”
Zhang, J., Zhang, Y., Qi, Y., Gao, C., Shen, Z., & Chen, Y. (2025) · Cognitive Development · doi:10.1016/j.cogdev.2025.101545 · Cited by 6
Learning Process During Risk Detection in Adolescents With ADHD
Medrano, E., Flóres-Lázaro, J. C., & Nicolini, H. (2015) · Journal of Attention Disorders · doi:10.1177/1087054715573995 · Cited by 5
Moving to Capture Children’s Attention: Developing a Methodology for Measuring Visuomotor Attention
Hill, L. J. B., Coats, R. O., Mushtaq, F., Williams, J. H. G., Aucott, L. S., & Mon-Williams, M. A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0159543 · Cited by 4
“set-shifting ability, inhibition control and cognitive flexibility) mature throughout childhood [60,65].”
BackgroundInfluentialDeterminants of Students’ Academic Performance in Higher Learning Institutions in Tanzania
Kapinga, O. S., & Amani, J. (2016) · Journal of Education and Human Development · doi:10.15640/jehd.v5n3a8 · Cited by 5
Validation and normalization of the Japanese version of BRIEF among junior high school students
Momoda, M., Asano, R., Nagatani, F., Miyagawa, H., Nakanishi, M., Yasuda, Y., Shibata, M., Hashimoto, R., Mohri, I., & Taniike, M. (2017) · The Japanese journal of psychology · doi:10.4992/jjpsy.88.16215 · Cited by 4
Gottfried, M. A., & Little, M. H. (2017) · Early Education and Development · doi:10.1080/10409289.2017.1408372 · Cited by 6
An Overview of the Bilingual Advantage: History, Mechanisms, and Consequences
Zhang, M. (2018) · Western Undergraduate Psychology Journal · Cited by 4
The quality of the assignment matters in hypermedia learning
Paans, C., Segers, E., Molenaar, I., & Verhoeven, L. T. W. (2018) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12294 · Cited by 4
“It has also been related to academic achievement in general (e.g., Alloway & Alloway, 2010; Best, Miller, & Naglieri, 2011; Diamond, Barnett, Thomas, & Munro, 2007).”
Metadata
- Authors
- Best, J. R., Miller, P. H., & Naglieri, J. A.
- Affiliations
- Washington University in St. Louis (US)
- San Francisco State University (US)
- George Mason University (US)
- Corresponding author
- Best, John R.
- Venue
- Learning and Individual Differences
- Publisher
- Elsevier BV
- Published
- 2011-08
- Volume
- 21
- Issue
- 4
- Pages
- 327-336
- ISSN
- 1041-6080 (ISSN-L)
- PMC
- PMC3155246
- OpenAlex
- W2062718236
- Cited by
- 1,294
- References
- 86
- Citations by year
- 2026: 79 · 2025: 99 · 2024: 88 · 2023: 109 · 2022: 147 · 2021: 132 · 2020: 127 · 2019: 110 · 2018: 110 · 2017: 77 · 2016: 77 · 2015: 60 · 2014: 40 · 2013: 25 · 2012: 13
- FWCI
- 32.37
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Learning and Individual Differences (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK070922, R01DK060692)
- Topics
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Education › Early Childhood Education and Development
- Keywords
- executive function, academic performance, cognitive development, age-related changes, cognitive assessment, mathematics achievement, reading achievement, domain-general cognition, children and adolescents
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