Working memory in schoolchildren: the effect of age and school year

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Abstract

The article presents the results of a study on the features of spatial working memory in students from grades 2 to 11. The aim of the study is to identify the relationship between the age of school entry and spatial working memory performance. A total of 773 students participated in the research. The Corsi Block-Tapping Test was used to assess individual differences in spatial working memory. The results showed that the capacity of spatial working memory increases with age. A negative correlation was found between the starting age of schooling and the level of spatial working memory. It was discovered that the development of spatial working memory in students depends more on educational experience and the learning environment (class) than on the age at which schooling begins. The classroom, as a unique educational environment, significantly influences the level of cognitive abilities development. The findings of the study can be used to develop teaching methods and pedagogical strategies to better adapt the learning process to the individual cognitive characteristics of students

General Information

Keywords: working memory, cognitive abilities, age of entry into school, learning

Journal rubric: Axiological and Personality-Oriented Basis of Cooperation and Interaction of Educational Environment Subjects

Article type: scientific article

DOI: https://doi.org/10.17759/bppe.2025220101

Received: 08.10.2024

Accepted:

For citation: Persiyantseva S.V., Adamovich T.V., Ismatullina V.I. Working memory in schoolchildren: the effect of age and school year [Elektronnyi resurs]. Vestnik prakticheskoi psikhologii obrazovaniya = Bulletin of Practical Psychology of Education, 2025. Vol. 22, no. 1, pp. 5 – 13. DOI: 10.17759/bppe.2025220101. (In Russ., аbstr. in Engl.)

References

  1. Bedard K., Dhuey E. The persistence of early childhood maturity: International evidence of long-run age effects. The Quarterly Journal of Economics, 2006. Vol. 121, no. 4, pp. 1437–1472. doi:10.1162/qjec.121.4.1437
  2. Dai N. The Role of Working memory on fluid intelligence. Lecture Notes in Education Psychology and Public Media, 2021. Vol. 1, no. 1, pp. 123–127. doi:10.54254/lnep.iceipi.2021181
  3. Datar A. Does delaying kindergarten entrance give children a head start? Economics of Education Review, 2006. Vol. 25, no. 1, pp. 43–62. doi:10.1016/j.econedurev.2004.10.004
  4. Fenellós C.B., Gil A.V., Naranjo M.P. Working memory and reading comprehension in young people with intellectual disabilities. In Salavera C., Teruel P., Antoñanzas J.L. (Eds.). Observatory for Research and Innovation in Social Sciences: European Proceedings of Social and Behavioral Sciences. 84. London: European Publisher, 2020, pp. 129–135. doi:10.15405/epsbs.2020.05.15
  5. Forsberg A., Blume C. L., Cowan N. The development of metacognitive accuracy in working memory across childhood. Developmental Psychology, 2021. Vol. 57, no. 8, pp. 1297–1317. doi:10.1037/dev0001213
  6. Fredriksson P., Öckert B. Life-cycle effects of age at school start. The Economic Journal, 2013. Vol. 124, no. 579, pp. 977–1004. doi:10.1111/ecoj.12047
  7. Gray S.I., Levy R., Alt M., Hogan T.P., Cowan N. Working memory predicts new word learning over and above existing vocabulary and nonverbal IQ. Journal of Speech, Language, and Hearing Research, 2022. Vol. 65, no. 3, pp. 1044–1069. doi:10.1044/2021_JSLHR-21-00397
  8. Kaila M. The Effects of Relative School Starting Age on Educational Outcomes in Finland. VATT Institute for Economic Research Working Papers 2017. doi:10.2139/ssrn.2960074
  9. Madore K.P., Wagner A.D. Readiness to remember: predicting variability in episodic memory. Trends in Cognitive Sciences, 2022. Vol. 26, no. 8, pp. 707–723. doi:10.1016/j.tics.2022.05.006
  10. Mashburn C.A., Burgoyne A.P., Engle R.W. Working memory, intelligence, and life success. In Logie R.H. et al. (Eds.). Memory in Science for Society. Oxford: Oxford University Press, 2023, pp. 149–184. doi:10.1093/oso/9780192849069.003.0007
  11. McEwan P.J., Shapiro J.S. The benefits of delayed primary school enrollment: Discontinuity estimates using exact birth dates. Journal of Human Resources, 2008. Vol. 43, no. 1, pp. 1–29. doi:10.2307/40057337
  12. Stefanelli S., Alloway T.P. Mathematical skills and working memory profile of children with borderline intellectual functioning. Journal of Intellectual Disabilities, 2020. Vol. 24, no. 3, pp. 358–366. doi:10.1177/1744629518821251

 

Information About the Authors

Svetlana V. Persiyantseva, Candidate of Science (Psychology), Senior Research Associate, Laboratory of Age Psychogenetics, Federal Scientific Center for Psychological and Interdisciplinary Research, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-8158-5415, e-mail: perssvetlana@yandex.ru

Timofey V. Adamovich, Junior Researcher, Center for Interdisciplinary Research in the Educational Sciences, Russian Academy of Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0003-1571-9192, e-mail: tadamovich11@gmail.com

Victoria I. Ismatullina, Candidate of Science (Psychology), Senior Analyst of the Center for Interdisciplinary Research in Educational Sciences, Russian Academy of Education, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0002-5096-4313, e-mail: victoria2686@gmail.com

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