Time-Based Measures of Monitoring in Association With Executive Functions in Kindergarten Children
Abstract
Abstract. Repeatedly, the notion has been put forward that metacognition (MC) and executive functions (EF) share common grounds, as both describe higher order cognitive processes and involve monitoring. However, only few studies addressed this issue empirically and so far their findings are rather inconsistent. Addressing the question whether measurement differences may in part be responsible for the mixed results, the current study included explicitly reported as well as time-based measures of metacognitive monitoring and related them to EF. A total of 202 children aged 4–6 years were assessed in terms of EF (inhibition, working memory, shifting) and monitoring. While there was no significant link between explicitly reported confidence and EF, latencies of monitoring judgments were significantly related to time- and accuracy-based measures of EF. Our findings support the association between EF and MC and the assumption that better inhibition abilities help children to engage in more thorough monitoring.
References
2011). Response latency as a predictor of the accuracy of children’s reports. Journal of Experimental Psychology: Applied, 17(4), 406–417. https://doi.org/10.1037/a0025129
(1999). Identification and description of new tests of executive functioning in children. Child Neuropsychology, 5(2), 115–129. https://doi.org/10.1076/chin.5.2.115.3167
(2010). Thinking about false belief: It’s not just what children say, but how long it takes them to say it. Cognition, 116(2), 297–301. https://doi.org/10.1016/j.cognition.2010.05.008
(2019). More than number sense: The additional role of executive functions and metacognition in arithmetic. Journal of Experimental Child Psychology, 182, 38–60. https://doi.org/10.1016/j.jecp.2019.01.012
(2011). Relations between executive function and academic achievement from ages 5 to 17 in a large, representative national sample. Learning and Individual Differences, 21(4), 327–336. https://doi.org/10.1016/j.lindif.2011.01.007
(2007). Relating effortful control, executive function, and false belief understanding to emerging math and literacy ability in kindergarten. Child Development, 78(2), 647–663. https://doi.org/10.1111/j.1467-8624.2007.01019.x
(2001). Conflict monitoring and cognitive control. Psychological Review, 108(3), 624–652. https://doi.org/10.1037/0033-295x.108.3.624
(2015). The relationships among executive functions, metacognitive skills and educational achievement in 5 and 7 year-old children. Metacognition and Learning, 10(2), 181–198. https://doi.org/10.1007/s11409-014-9120-4
(2019). Speed and accuracy on the Hearts and Flowers task interact to predict child outcomes. Psychological Assessment, 31(8), 995–1005. https://doi.org/10.1037/pas0000725
(2005). Developmentally sensitive measures of executive function in preschool children. Developmental Neuropsychology, 28(2), 595–616. https://doi.org/10.1207/s15326942dn2802_3
(2013). Executive functions. Annual Review of Psychology, 64, 135–168. https://doi.org/10.1146/annurev-psych-113011-143750
(2007). Preschool program improves cognitive control. Science, 318(5855), 1387–1388. https://doi.org/10.1126/science.1151148
(2005). The self-monitoring approach for effective learning. Cognitive Technology, 10(1), 4–11.
(2008). Metacognition, Sage Publications.
(2012). N2 amplitude as a neural marker of executive function in young children: An ERP study of children who switch versus perseverate on the Dimensional Change Card Sort. Developmental Cognitive Neuroscience, 2, S49–S58. https://doi.org/10.1016/j.dcn.2011.12.002
(2013). Reflection training improves executive function in preschool-age children: Behavioral and neural effects. Developmental Cognitive Neuroscience, 4, 3–15. https://doi.org/10.1016/j.dcn.2012.11.009
(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
(2012). The neural basis of metacognitive ability. Philosophical Transactions of the Royal Society B: Biological Sciences, 367, 1338–1349. https://doi.org/10.1007/978-3-642-45190-4_11
(1997). Monitoring one’s own knowledge during study: A cue-utilization approach to judgments of learning. Journal of Experimental Psychology: General, 126(4), 349–370. https://doi.org/10.1037/0096-3445.126.4.349
(2010). Choice latency as a cue for children’s subjective confidence in the correctness of their answers. Developmental Science, 13(3), 441–453. https://doi.org/10.1111/j.1467-7687.2009.00907.x
(2011). The development of uncertainty monitoring in early childhood. Child Development, 82(6), 1778–1787. https://doi.org/10.1111/j.1467-8624.2011.01649.x
(2011).
(Monitoring, metacognition, and executive function: Elucidating the role of self-reflection in the development of self-regulation . In J. B. BensonEd., Advances in child development and behavior (Vol. 40) (pp. 379–412). Elsevier.2012). OpenSesame: An open-source, graphical experiment builder for the social sciences. Behavior Research Methods, 44(2), 314–324. https://doi.org/10.3758/s13428-011-0168-7
(2004).
(The development of self-regulation in young children: Individual characteristics and environmental contexts . In R. F. BaumeisterK. D. VohsEds., Handbook of self-regulation: Research, theory, and applications (pp. 340–356). Guilford Press.2012). Neural correlates of people’s hypercorrection of their false beliefs. Journal of Cognitive Neuroscience, 24(7), 1571–1583. https://doi.org/10.1162/jocn_a_00228
(2008). Familiarity and retrieval processes in delayed judgments of learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 34(5), 1084–1097. https://doi.org/doi:10.1037/a0012580
(2016).
(The ghost in the machine: Self-reflective consciousness and the neuroscience of metacognition . In J. DunloskyS. K. TauberEds., The Oxford handbook of metamemory (pp. 407–437). Oxford University Press.2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49–100. https://doi.org/10.1006/cogp.1999.0734
(2011). The role of the executive functions in school achievement at the end of Grade 1. Journal of Experimental Child Psychology, 109(2), 158–173. https://doi.org/10.1016/j.jecp.2011.01.008
(2009). Neural origin of cognitive shifting in young children. Proceedings of the National Academy of Sciences, 106(14), 6017–6021. https://doi.org/10.1073/pnas.0809747106
(2013). Prefrontal cortex and executive function in young children: A review of NIRS studies. Frontiers in Human Neuroscience, 7, Article 867. https://doi.org/10.3389/fnhum.2013.00867
(1990). Metamemory: A theoretical framework and new findings. The Psychology of Learning and Motivation, 26, 125–141. https://doi.org/10.1016/S0079-7421(08)60053-5
(2017). Carving metacognition at its joints: Protracted development of component processes. Child Development, 88(3), 1015–1032. https://doi.org/10.1111/cdev.12644
(2018). R: A language and environment for statistical computing [Computer software]. https://cran.r-project.org/
. (2014).
(Children’s deliberate memory development: The contribution of strategies and metacognitive processes . In P. J. BauerR. FivushEds., The Wiley handbook on the development of children’s memory (pp. 865–894). Wiley Blackwell.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
(2012). Executive functioning, metacognition, and self-perceived competence in elementary school children: An explorative study on their interrelations and their role for school achievement. Metacognition and Learning, 7(3), 151–173. https://doi.org/10.1007/s11409-012-9089-9
(2020). A comparison of non-verbal and verbal indicators of young children’s metacognition. Metacognition and Learning, 15, 31–49. https://doi.org/10.1007/s11409-019-09217-4
(2019). The role of children’s metacognitive experiences for cue utilization and monitoring accuracy: A longitudinal study. Developmental Psychology, 55(10), 2077–2089. https://doi.org/10.1037/dev0000776
(2016).
(The development of metacognitive knowledge in children and adolescents . In J. DunloskyS. K. TauberEds., The Oxford handbook of metamemory (pp. 491–518). Oxford University Press.2015). Prospective memory, executive functions, and metacognition are already differentiated in young elementary school children. Swiss Journal of Psychology, https://doi.org/10.1024/1421-0185/a000165
(2019). Jamovi. (Version 1.1) [Computer software]. https://www.jamovi.org
. (2017). Correlates of metacognitive control in 10-year old children and adults. Metacognition and Learning, 12(3), 297–314. https://doi.org/10.1007/s11409-016-9168-4
(2013). The effect of delayed-JOLs and sentence generation on children’s monitoring accuracy and regulation of idiom study. Metacognition and Learning, 8(2), 173–191. https://doi.org/10.1007/s11409-013-9100-0
(2003). The development of executive function in early childhood. Monographs of the Society for Research in Child Development, 68(3), 1–151. https://doi.org/10.1111/j.1540-5834.2003.06803002.x
(2005).
(From rag (bag) s to riches: Measuring the developing central executive . In W. SchneiderR. Schumann-HengstelerB. SodianEds., Young children’s cognitive development. Interrelationships among executive functioning, working memory, verbal ability and theory of mind (pp. 39–69). Erlbaum.