Metacognition as a mediator of the relation between family SES and language and mathematical abilities in preschoolers.
Academic achievement
Language
Mathematics
Metacognition
Preschoolers
SES
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
06 May 2024
06 May 2024
Historique:
received:
12
01
2023
accepted:
29
04
2024
medline:
7
5
2024
pubmed:
7
5
2024
entrez:
6
5
2024
Statut:
epublish
Résumé
The effect of family socioeconomic status (SES) on academic achievement in literacy and numeracy has been extensively studied with educational inequalities already witnessed in preschoolers. This is presumably explained by the effect of family SES on cognitive and socioemotional abilities associated with academic achievement. Metacognition which refers to knowledge and regulation skills involving reflexivity about one's own cognitive processes is one of these abilities. However, most of the studies investigating the association between metacognition and academic achievement have focused on school-aged students and studies with younger students are only emerging. Meanwhile, the association between family SES and metacognition abilities has surprisingly received little attention regardless of participants' age. The aim of this study was to explore the associations between family SES, metacognition, language and mathematical abilities in preschoolers aged 5 to 6. We provide the first evidence that the effect of family SES on preschoolers' language and mathematical abilities is mediated by the effect of family SES on their metacognitive abilities. The implications for future research, education and policies aiming at reducing educational inequalities are discussed.
Identifiants
pubmed: 38710829
doi: 10.1038/s41598-024-60972-0
pii: 10.1038/s41598-024-60972-0
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
10392Informations de copyright
© 2024. The Author(s).
Références
Blossfeld, H.-P., Kulic, N., Skopek, J. & Triventi, M. Childcare, Early Education and Social Inequality: An International Perspective (Edward Elgar, 2017).
doi: 10.4337/9781786432094
Dämmrich, J. & Triventi, M. The dynamics of social inequalities in cognitive-related competencies along the early life course—A comparative study. Int. J. Educ. Res. 88, 73–84 (2018).
doi: 10.1016/j.ijer.2018.01.006
OECD. PISA 2018 Results (Volume III): What School Life Means for Students’ Lives (OECD Publishing, Paris, 2019). https://doi.org/10.1787/acd78851-en .
Sirin, S. R. Socioeconomic status and academic achievement: A meta-analytic review of research. Rev. Educ. Res. 75, 417–453 (2005).
doi: 10.3102/00346543075003417
Dearden, L., Sibieta, L. & Sylva, K. The socio-economic gradient in early child outcomes: Evidence from the Millennium Cohort Study. Institute for Fiscal Studies (IFS) 88 (2011).
García, E. Inequalities at the Starting Gate: Cognitive and Noncognitive Skills Gaps between 2010–2011 Kindergarten Classmates. 93 https://www.epi.org/publication/inequalities-at-the-starting-gate-cognitive-and-noncognitive-gaps-in-the-2010-2011-kindergarten-class/ (2015).
Larson, K., Russ, S. A., Nelson, B. B., Olson, L. M. & Halfon, N. Cognitive ability at kindergarten entry and socioeconomic status. Pediatrics 135, 9 (2015).
doi: 10.1542/peds.2014-0434
Lee, V. E. & Burkam, D. T. Inequality at the Starting Gate: Social Background Differences in Achievement as Children Begin School (Economic Policy Institute, 2002).
Bourdieu, P. Cultural reproduction and social reproduction. In Knowledge, Education, and Cultural Change 71–84 (Tavistock Publications, 1973).
Hoff, E., Laursen, B. & Tardif, T. Socioeconomic status and parenting. In Handbook of Parenting 231–252 (Erlbaum, 2002).
Lareau, A. Unequal childhoods: Class, race, and family life (University of California Press, 2003).
Potter, D. & Roksa, J. Accumulating advantages over time: Family experiences and social class inequality in academic achievement. Soc. Sci. Res. 42, 1018–1032 (2013).
pubmed: 23721671
doi: 10.1016/j.ssresearch.2013.02.005
Heckman, J. J. Skill formation and the economics of investing in disadvantaged children. Science 312, 1900–1902 (2006).
pubmed: 16809525
doi: 10.1126/science.1128898
Lawson, G. M., Hook, C. J. & Farah, M. J. A meta-analysis of the relationship between socioeconomic status and executive function performance among children. Dev. Sci. 21, e12529 (2018).
doi: 10.1111/desc.12529
Muijs, D. & Bokhove, C. Metacognition and Self-Regulation: Evidence Review. https://educationendowmentfoundation.org.uk/education-evidence/guidance-reports/metacognition (2020).
Flavell, J. H., Miller, P. H. & Miller, S. A. Cognitive Development (2002).
Flavell, J. H. Metacognition and Cognitive Monitoring. American Psychologist 34, 906–911 (1979).
doi: 10.1037/0003-066X.34.10.906
Zohar, A. & Barzilai, S. A review of research on metacognition in science education: current and future directions. Stud. Sci. Educ. 49, 121–169 (2013).
doi: 10.1080/03057267.2013.847261
Dent, A. L. & Koenka, A. C. The relation between self-regulated learning and academic achievement across childhood and adolescence: A meta-analysis. Educ. Psychol. Rev. 28, 425–474 (2016).
doi: 10.1007/s10648-015-9320-8
Ohtani, K. & Hisasaka, T. Beyond intelligence: a meta-analytic review of the relationship among metacognition, intelligence, and academic performance. Metacogn. Learn. 13, 179–212 (2018).
doi: 10.1007/s11409-018-9183-8
Bryce, D., Whitebread, D. & Szűcs, D. The relationships among executive functions, metacognitive skills and educational achievement in 5 and 7 year-old children. Metacogn. Learn. 10, 181–198 (2015).
doi: 10.1007/s11409-014-9120-4
Maric, M. & Sakac, M. Metacognitive components as predictors of preschool children’s performance in problem-solving tasks. Psihologija 51, 1–16 (2018).
doi: 10.2298/PSI161123007M
Veenman, M. V. J., Van Hout-Wolters, B. H. A. M. & Afflerbach, P. Metacognition and learning: Conceptual and methodological considerations. Metacogn. Learn. 1, 3–14 (2006).
doi: 10.1007/s11409-006-6893-0
Gascoine, L., Higgins, S. & Wall, K. The assessment of metacognition in children aged 4–16 years: A systematic review. Rev. Educ. 5, 3–57 (2017).
doi: 10.1002/rev3.3077
Whitebread, D. et al. The development of two observational tools for assessing metacognition and self-regulated learning in young children. Metacogn. Learn. 4, 63–85 (2009).
doi: 10.1007/s11409-008-9033-1
Whitebread, D. & Neale, D. Metacognition in early child development. Transl. Issues Psychol. Sci. 6, 8–14 (2020).
doi: 10.1037/tps0000223
Akyol, G., Sungur, S. & Tekkaya, C. The contribution of cognitive and metacognitive strategy use to students’ science achievement. Educ. Res. Evaluat. 16, 1–21 (2010).
doi: 10.1080/13803611003672348
Topçu, M. S. & Yilmaz-Tüzün, Ö. Elementary students’ metacognition and epistemological beliefs considering science achievement, gender and socioeconomic status. Elem. Educ. Online 8, 676–693 (2009).
Callan, G. L., Marchant, G. J., Holmes Finch, W. & German, R. L. Metacognition, strategies, achievement, and demographics: Relationships across countries. Educ. Sci.-Theor. Pract. 16, 1485–1502 (2016).
Wang, A. Y. Cultural-familial predictors of children’s metacognitive and academic performance. J. Res. Childhood Educ. 7, 83–90 (1993).
doi: 10.1080/02568549309594844
Pappas, S., Ginsburg, H. P. & Jiang, M. SES differences in young children’s metacognition in the context of mathematical problem solving. Cogn. Dev. 18, 431–450 (2003).
doi: 10.1016/S0885-2014(03)00043-1
Jordan, N. C., Kaplan, D., Ramineni, C. & Locuniak, M. N. Early math matters: Kindergarten number competence and later mathematics outcomes. Dev. Psychol. 45, 850–867 (2009).
pubmed: 19413436
pmcid: 2782699
doi: 10.1037/a0014939
Met, M. Paying attention to language: Literacy, language and academic achievement. In Pathways to Multilingualism: Evolving Perspectives on Immersion Education (2008).
Parsons, S. & Bynner, J. Does numeracy matter more. National Research and Developmental Centre for adult literacy and numeracy (2005).
Berni, A. et al. Effect of vascular risk factors on increase in carotid and femoral intima-media thickness. Identification of a risk scale. Atherosclerosis 216, 109–114 (2011).
pubmed: 21349522
doi: 10.1016/j.atherosclerosis.2011.01.034
OECD. Construction of indices. In PISA 2018 Results (Volume III): What School Life Means for Students’ Lives (OECD Pusblishing, Paris, 2020).
Gunzler, D., Chen, T., Wu, P. & Zhang, H. Introduction to mediation analysis with structural equation modeling. Shanghai Arch. Psychiatry 25, 5 (2013).
Hogan, T., Bridges, M. S., Justice, L. M. & Cain, K. Increasing higher level language skills to improve reading comprehension. Focus Except. Child. 44, 1–20 (2011).
doi: 10.17161/foec.v44i3.6688
Pino-Pasternak, D. & Whitebread, D. The role of parenting in children’s self-regulated learning. Educ. Res. Rev. 5, 220–242 (2010).
doi: 10.1016/j.edurev.2010.07.001
Thompson, R. B. & Foster, B. J. Socioeconomic status and parent-child relationships predict metacognitive questions to preschoolers. J. Psycholinguist Res. 43, 315–333 (2014).
pubmed: 23733386
doi: 10.1007/s10936-013-9256-4
Ebert, S. Longitudinal relations between theory of mind and metacognition and the impact of language. J. Cognit. Dev. 16, 559–586 (2015).
doi: 10.1080/15248372.2014.926272
Lecce, S., Zocchi, S., Pagnin, A., Palladino, P. & Taumoepeau, M. Reading minds: The relation between children’s mental state knowledge and their metaknowledge about reading: Mental state knowledge and metaknowledge about reading. Child Dev. 81, 1876–1893 (2010).
pubmed: 21077870
doi: 10.1111/j.1467-8624.2010.01516.x
Lockl, K. & Schneider, W. Knowledge about the mind: Links between theory of mind and later metamemory. Child Dev. 78, 148–167 (2007).
pubmed: 17328698
doi: 10.1111/j.1467-8624.2007.00990.x
Dinsmore, D. L., Alexander, P. A. & Loughlin, S. M. Focusing the conceptual lens on metacognition, self-regulation, and self-regulated learning. Educ. Psychol. Rev. 20, 391–409 (2008).
doi: 10.1007/s10648-008-9083-6
Puustinen, M. & Pulkkinen, L. Models of self-regulated learning: A review. Scand. J. Educ. Res. 45, 269–286 (2001).
doi: 10.1080/00313830120074206
Zimmerman, B. J. Becoming a self-regulated learner: An overview. Theory Into Pract. 41, 64–70 (2002).
doi: 10.1207/s15430421tip4102_2
de Boer, H., Donker, A. S., Kostons, D. D. N. M. & van der Werf, G. P. C. Long-term effects of metacognitive strategy instruction on student academic performance: A meta-analysis. Educ. Res. Rev. 24, 98–115 (2018).
doi: 10.1016/j.edurev.2018.03.002
Dignath, C., Buettner, G. & Langfeldt, H.-P. How can primary school students learn self-regulated learning strategies most effectively?. Educ. Res. Rev. 3, 101–129 (2008).
doi: 10.1016/j.edurev.2008.02.003
Donker, A. S., de Boer, H., Kostons, D., Dignath van Ewijk, C. C. & van der Werf, M. P. C. Effectiveness of learning strategy instruction on academic performance: A meta-analysis. Educ. Res. Rev. 11, 1–26 (2014).
doi: 10.1016/j.edurev.2013.11.002
Dörr, L. & Perels, F. Improving metacognitive abilities as an important prerequisite for self-regulated learning in preschool children. IEJEE 11, 449–459 (2019).
doi: 10.26822/iejee.2019553341
Jacob, L., Benick, M., Dörrenbächer, S. & Perels, F. Promoting self-regulated learning in preschoolers. J. Child Educ. Soc. 1, 116–140 (2020).
doi: 10.37291/2717638X.20201237
Venitz, L. & Perels, F. Promoting self-regulated learning of preschoolers through indirect intervention: A two-level approach. Early Child Dev. Care 189, 2057–2070 (2018).
doi: 10.1080/03004430.2018.1434518
Perry, J., Lundie, D. & Golder, G. Metacognition in schools: what does the literature suggest about the effectiveness of teaching metacognition in schools?. Educ. Rev. 71, 483–500 (2019).
doi: 10.1080/00131911.2018.1441127
Avvisati, F. The measure of socio-economic status in PISA: a review and some suggested improvements. Large-Scale Assess Educ. 8, 8 (2020).
doi: 10.1186/s40536-020-00086-x
ILO. International Standard Classification of Occupations 2008 (ISCO-08): Structure, Group Definitions and Correspondence Tables (2012).
Ganzeboom. A new International Socio-Economic Index (ISEI) of occupational status for the International Standard Classification of Occupation 2008 (ISCO-08) constructed with data from the ISSP 2002–2007 (2010).
Ganzeboom, De Graaf, P. M. & Treiman, D. J. A standard international socio-economic index of occupational status. Social Sci. Res. 21, 1–56 (1992).
Ferrari, D. Package occupar (Occupation Classification in R) (2019).
Marulis, L. M., Palincsar, A. S., Berhenke, A. L. & Whitebread, D. Assessing metacognitive knowledge in 3–5 year olds: the development of a metacognitive knowledge interview (McKI). Metacogn. Learn. 11, 339–368 (2016).
doi: 10.1007/s11409-016-9157-7
Azzano, V. et al. BSEDS - Bilan de Santé Évaluation du Développement pour la scolarité 5 à 6 ans (version 4.0) (2011).
Zorman, M. & Jacquier-Roux, M. BSEDS 5–6: Un dépistage des difficultés de langage oral et des risques de dyslexie qui ne fait pas l’économie de la réflexion clinique 66, 48–55 (2002).
Van Nieuwenhove, C., Grégoire, J. & Noël, M.-P. TEDI-MATH - Test diagnostique des compétences de base en mathématiques (2001).
R Core Team. R: A language and environment for statistical computing [Computer software manual] (2017).
Wickham, H. et al. Welcome to the Tidyverse. JOSS 4, 1686 (2019).
doi: 10.21105/joss.01686
Revelle, W. psych: Procedures for Psychological, Psychometric, and Personality Research (2007).
Harrel Jr, F. E. Hmisc: Harrell Miscellaneous (2003).
Rosseel, Y. lavaan: An R package for structural equation modeling. J. Stat. Soft. 48, 1–36 (2012).
doi: 10.18637/jss.v048.i02
Schermelleh-Engel, K., Moosbrugger, H. & Müller, H. Evaluating the Fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods Psychol. Res. Online 8, 23–74 (2003).