Metacognition and executive functions: Developmental interrelations and interactions with cognitive performance in the preschool and primary school years
Published:
Jul 1, 2025
Keywords:
Metacognition, monitoring, executive functions, cognitive development, children
Abstract
A large body of research highlights the important role of both executive functions (EF) and metacognitive monitoring (MM) in children's cognitive functioning in general, and in their performance on specific cognitive tasks in particular. Recent approaches suggest that EF and MM constitute different expressions of cognitive self-regulation. Despite the theoretical interest, there has been limited research on the complex interactions between EF, MM, and cognitive performance. In this paper, we study the relationship between EF and MM and their association with cognitive performance in mathematical and spatial problem-solving while taking into account children's age and performance in a fluid intelligence task. Specifically, based on a sample of 277 children aged 4 to 11 years, two alternative hypotheses are explored: (1) Cognitive performance mediates the relationship between EF and MM, and (2) MM mediates the effect of EF on cognitive performance. The results highlight the relationship between some aspects of these two theoretical constructs and their effect on children's cognitive performance. MM emerged as a significant mediator in the relationship between EF and cognitive performance. The alternative hypothesis was not supported. Results are discussed on the basis of previous studies on the development of metacognitive monitoring and executive functions.
Article Details
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Kazi, S., Karousou, A., Markos, A., Economacou, D., Bikos, T., & Makris, N. (2025). Metacognition and executive functions: Developmental interrelations and interactions with cognitive performance in the preschool and primary school years . Psychology: The Journal of the Hellenic Psychological Society, 30(1), 107–124. https://doi.org/10.12681/psy_hps.36234
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References
Bablekou, Z., Chrysochoou, E., & Kazi, S. (2023). Executive functions, listening comprehension, and metacognitive processes in childhood: Developmental profiles. Psychology: The Journal of the Hellenic Psychological Society, 28(2), 48–68. https://doi.org/10.12681/psy_hps.36222
Baddeley, A. (2000). The episodic buffer: a new component of working memory?. Trends in Cognitive Sciences, 4(11), 417-423. https://doi.org/10.1016/S1364-6613(00)01538-2
Best, J. R., & Miller, P. H. (2010). A developmental perspective on executive function. Child Development, 81(6), 1641-1660. https://doi.org/10.1111/j.1467-8624.2010.01499.x
Bryce, D., & Whitebread, D. (2012). The development of metacognitive skills: Evidence from observational analysis of young children’s behavior during problem-solving. Metacognition and Learning, 7(3), 197-217. https://doi.org/10.1007/s11409-012-9091-2
Chen, C., Liu, P., Lu, S., Li, S., Zhang, C., & Zhou, X. (2023). Verbal but not visual-spatial working memory contributes to complex arithmetic calculation. British Journal of Developmental Psychology, 41(4), 385-399. https://psycnet.apa.org/doi/10.1111/bjdp.12458
Corsi, P. M. (1972). Human memory and the medial temporal region of the brain [Unpublished doctoral dissertation]. McGill University.
Cragg, L., Keeble, S., Richardson, S., Roome, H. E., & Gilmore, C. (2017). Direct and indirect influences of executive functions on mathematics achievement. Cognition, 162, 12-26. https://doi.org/10.1016/j.cognition.2017.01.014
Cragg, L., & Gilmore, C. (2014). Skills underlying mathematics: The role of executive function in the development of mathematics proficiency. Trends in Neuroscience and Education, 3(2), 63-68. https://doi.org/10.1016/j.tine.2013.12.001
Demetriou, A., & Kazi, S. (2006). Self-awareness in g (with processing efficiency and reasoning). Intelligence, 34, 297-317. https://doi.org/10.1016/j.tine.2013.12.001
Demetriou, A., Makris, N., Kazi, S., Spanoudis, G., Shayer, M., & Kazali, E. (2018). Mapping the dimensions of general intelligence: An integrated differential-developmental theory. Human Development, 61, 4–42. https://psycnet.apa.org/doi/10.1159/000484450
Destan, N., Hembacher, E., Ghetti, S., & Roebers, C. M. (2014). Early metacognitive abilities: The interplay of monitoring and control processes in 5- to 7-year-old children. Journal of Experimental Child Psychology, 126, 213-228. https://doi.org/10.1016/j.jecp.2014.04.001
Diamond, A. (2013). Executive Functions. Annual Review of Psychology, 64, 135-168. https://doi.org/10.1146/annurev-psych-113011-143750
Diamond, A., & Ling, D. S. (2016). Conclusions about interventions, programs, and approaches for improving executive functions that appear justified and those that, despite much hype, do not. Developmental Cognitive Neuroscience, 18, 34-48. https://doi.org/10.1016/j.dcn.2015.11.005
Doebel, S. (2020). Rethinking executive function and its development. Perspectives on Psychological Science, 15(4), 942-956. https://doi.org/10.1177/1745691620904771
Efklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: The MASRL model. Educational Psychologist, 46(1), 6-25. https://doi.org/10.1080/00461520.2011.538645
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 34(10), 906–911. https://doi.org/10.1037/0003-066X.34.10.906
Frick, A., Hansen, M. A., & Newcombe, N. S. (2013). Development of mental rotation in 3- to 5-year-old children. Cognitive Development, 28(4), 386–399. https://doi.org/10.1016/j.cogdev.2013.06.002
Garcia, N. L., Dick, A. S., & Pruden, S. M. (2022). Contributions of executive function to spatial thinking in young children. Infant and Child Development, 31(4), n/a. https://doi.org/10.1002/icd.2317
Gathercole, S. E., & Pickering, S. J. (1999). Estimating the capacity of phonological short-term memory. International Journal of Psychology, 34(5-6), 378–382. https://doi.org/10.1080/002075999399729
Geer, E. A., Quinn, J. M., & Ganley, C. M. (2019). Relations Between Spatial Skills and Math Performance in Elementary School Children. Developmental Psychology, 55 (3), 637-652. https://doi.org/10.1037/dev0000649
Geurten, M., Meulemans, T., & Lemaire, P. (2018). From domain-specific to domain-general? the developmental path of metacognition for strategy selection. Cognitive Development, 48, 62-81. https://psycnet.apa.org/doi/10.1016/j.cogdev.2018.08.002
Gunzenhauser, C., & Nückles, M. (2021). Training executive functions to improve academic achievement: Tackling avenues to far transfer. Frontiers in Psychology, 12, 624008. https://doi.org/10.3389/fpsyg.2021.624008
He, Z-H., Li, B-H., & Yin, W-G. (2019) Executive function and mental rotation during middle childhood: The effect of age. The Journal of Genetic Psychology, 180(2-3), 96-102. https://doi.org/10.1080/00221325.2019.1582474
Kälin, S., & Roebers, C. M. (2022). Longitudinal associations between executive functions and metacognitive monitoring in 5- to 8-year-olds. Metacognition and Learning, 17(3), 1079-1095. https://doi.org/10.1007/s11409-022-09306-x
Karousou, A., Economacou, D., & Makris, N. (2023). Clustering and Switching in Semantic Verbal Fluency: Their Development and Relationship with Word Productivity in Typically Developing Greek-Speaking Children and Adolescents. Journal of Intelligence, 11(11), 209. https://doi.org/10.3390/jintelligence 11110209
Karousou, A., & Thomaidou, V. (2023). Greek clustering scheme & spelling file for Semantic Verbal Fluency data analysis in Python with SNAFU. Open Science Framework. https://doi.org/10.17605/osf.io/k6h3v
Karr, J. E., Areshenkoff, C. N., Rast, P., Hofer, S. M., Iverson, G. L., & Garcia-Barrera, M. A. (2018). The unity and diversity of executive functions: A systematic review and re-analysis of latent variable studies. Psychological Bulletin, 144(11), 1147–1185. https://doi.org/10.1037/bul0000160
Kazi, S., Demetriou, A., Spanoudis, G., Kui Z.X., & Wang, Y. (2012). Mind–culture interactions: How writing molds mental fluidity in early development. Intelligence, 40, 622-637. https://doi.org/10.1016/j.intell. 2012.07.001
Kessels, R. P. C., van Zandvoort, Martine J. E., Postma, A., Kappelle, L. J., & de Haan, Edward H. F. (2000). The corsi block-tapping task: Standardization and normative data. Applied Neuropsychology, 7(4), 252-258. https://doi.org/10.1207/S15324826AN0704_8
Kubota, M., Hadley, L. V., Schaeffner, S., Könen, T., Meaney, J., Morey, C. C., Auyeung, B., Moriguchi, Y., Karbach, J., & Chevalier, N. (2023). The effect of metacognitive executive function training on children’s executive function, proactive control, and academic skills. Developmental Psychology, 59(11), 2002-2020. https://doi.org/10.1037/dev0001626
Kuhn, D. (2000). Metacognitive Development. Current Directions in Psychological Science, 9, 178–181. https://doi.org/10.1111/1467-8721.00088
Lehmann, J., Quaiser-Pohl, C., & Jansen, P. (2014). Correlation of motor skill, mental rotation, and working memory in 3- to 6-year-old children. European Journal of Developmental Psychology, 11(5), 560-573. https://doi.org/10.1080/17405629.2014.888995
Levine, S. C., Vasilyeva, M., Lourenco, S. F., Newcombe, N. S., & Huttenlocher, J. (2005). Socioeconomic status modifies the sex difference in spatial skill. Psychological Science, 16(11), 841–845. https://doi.org/10.1111/j.1467-9280.2005.01623.x
Marulis, L. M, Baker, S. T., & Whitebread, D. (2020). Integrating metacognition and executive function to enhance young children’s perception of and agency in their learning. Early Childhood Research Quarterly, 50, 46–54. https://doi.org/10.1016/j.ecresq.2018.12.017
Marulis, L. M., & Nelson, L. J. (2021). Metacognitive processes and associations to executive function and motivation during a problem-solving task in 3–5 year olds. Metacognition and Learning, 16(1), 207-231. https://doi.org/10.1007/s11409-020-09244-6
Miyake, A., & Friedman, N. P. (2012). The nature and organization of individual differences in executive functions: Four general conclusions. Current Directions in Psychological Science, 21(1), 8-14. https://doi.org/10.1177/0963721411429458
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41, 49–100. https://doi.org/10.1006/cogp.1999.0734
Nelson, T. O., & Narens, L. (1994). Why investigate metacognition? In J. Metcalfe & A. P. Shimamura (Eds.), Metacognition: Knowing about knowing (pp. 1–25). MIT Press.
Nelson, T. D., Nelson, J. M., James, T. D., Clark, C. C., Kidwell, K. M., & Espy, K. A. (2017). Executive Control Goes to School. Developmental Psychology, 53(5), 836-844. https://doi.org/10.1037/dev0000296
Ohtani, K., & Hisasaka, T. (2018). Beyond intelligence: A meta-analytic review of the relationship among metacognition, intelligence, and academic performance. Metacognition and Learning, 13(2), 179-212. https://doi.org/10.1007/s11409-018-9183-8
Passolunghi, M. C., & Costa, H. M. (2019). Working memory and mathematical learning. In A. Fritz, V.G. Haase, & P. Räsänen (Eds.), International Handbook of Mathematical Learning Difficulties (pp. 407-421). Springer International Publishing. https://doi.org/10.1007/978-3-319-97148-3_25
Primi, R., Ferrão, M. E., & Almeida, L. S. (2010). Fluid intelligence as a predictor of learning: A longitudinal multilevel approach applied to math. Learning and Individual Differences, 20(5), 446-451. https://doi.org/10.1016/j.lindif.2010.05.00
Ren, X., Schweizer, K., Wang, T., & Xu, F. (2015). The prediction of students' academic performance with fluid intelligence in giving special consideration to the contribution of learning. Advances in Cognitive Psychology, 11(3), 97-105. https://doi.org/10.5709/acp-0175-z
Roebers, C. M. (2017). Executive function and metacognition: Towards a unifying framework of cognitive self-regulation. Developmental Review, 45, 31-51. https://doi.org/10.1016/j.dr.2017.04.001
Roebers, C. M., & Feurer, E. (2016). Linking executive functions and procedural metacognition. Child Development Perspectives, 10(1), 39–44. https://doi.org/10.1111/cdep.12159
Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1-36. https://doi.org/10.18637/jss.v048.i02
Scheibe, D. A., Was, C. A., Dunlosky, J., & Thompson, C. A. (2023). Metacognitive cues, working memory, and math anxiety: The regulated attention in mathematical problem solving (RAMPS) framework. Journal of Intelligence, 11(6), 117. https://doi.org/10.3390/jintelligence11060117
Schneider, W., & Pressley, M. (1989). Memory Development between Two and Twenty. Erlbaum.
Thiede, K. W. (1999). The importance of monitoring and self-regulation during multitrial learning.
Psychonomic Bulletin and Review, 6, 662–667. https://doi.org/10.3758/bf03212976
Uttal, D. H., Meadow, N. G., Tipton, E., Hand, L. L., Alden, A. R., Warren, C., & Newcombe, N. S. (2013). The malleability of spatial skills: A meta-analysis of training studies. Psychological Bulletin, 139(2), 352–402. https://doi.org/10.1037/a0028446
van der Stel, M., & Veenman, M. V. J. (2014). Metacognitive skills and intellectual ability of young adolescents: A longitudinal study from a developmental perspective. European Journal of Psychology of Education, 29(1), 117-137. https://doi.org/10.1007/s10212-013-0190-5
Wang, L., Bolin, J., Lu, Z., & Carr, M. (2018a). Visuospatial working memory mediates the relationship between executive functioning and spatial ability. Frontiers in Psychology, 9, 2302-2302. https://doi.org/10.3389/fpsyg.2018.02302
Wang, Y., Yang, H., & Chen, S. (2018b). The relationship between working memory and mental rotation in early childhood. Cognitive Development, 47, 133–144. https://doi.org/10.1016/j.cogdev.2018.05.003
Weil, L. G., Fleming, S. M., Dumontheil, I., Kilford, E. J., Weil, R. S., Rees, G., Dolan, R. J., & Blakemore, S. (2013). The development of metacognitive ability in adolescence. Consciousness and Cognition, 22(1), 264-271. https://doi.org/10.1016/j.concog.2013.01.004
Wellman, H. M. (2014). Making minds: How theory of mind develops. Oxford University Press.
Wellman, H. M., & Woolley, J. D. (1990). From simple desires to ordinary beliefs: The early development of everyday psychology. Cognition, 35(3), 245-275. https://doi.org/10.1016/0010-0277(90)90024-E
Wiebe, S. A., Espy, K. A., & Charak, D. (2008). Using confirmatory factor analysis to understand executive control in preschool children. developmental psychology, 44(2), 575-587. https://doi.org/10.1037/0012-1649.44.2.575
Zelazo, P. D., & Carlson, S. M. (2012). Hot and cool executive function in childhood and adolescence: Development and plasticity. Child Development Perspectives, 6(4), 354-360. https://doi.org/10.1111/j.1750-8606.2012.00246.x
Zemla, J. C., Cao, K., Mueller, K. D., & Austerweil, J. L. (2020). SNAFU: The Semantic Network and Fluency Utility. Behavior Research Methods 52, 1681–99. https://doi.org/10.3758/s13428-019-01343-w
Zepeda, C. D., & Nokes-Malach, T. J. (2023). Assessing metacognitive regulation during problem solving: A comparison of three measures. Journal of Intelligence, 11(1), 16. https://doi.org/10.3390/jintelligence11010016
Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R.
Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). Academic Press.
