Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-cnmwb Total loading time: 0 Render date: 2024-07-22T21:46:12.363Z Has data issue: false hasContentIssue false

8 - Intelligence in Childhood

from Part II - Development of Intelligence

Published online by Cambridge University Press:  13 December 2019

Robert J. Sternberg
Affiliation:
Cornell University, New York
Get access

Summary

Children provide a unique and valuable window onto understanding human intelligence. A key feature of childhood is the capacity to take in, organize, and process information in a manner that gives rise to a variety of intelligent behaviors and modes of reasoning. Although children lack content knowledge and experience, they are experts at learning – and sometimes demonstrate even better learning potential than adults. This learning is situated in the social world, which allows children to selectively learn from other people and engage in the process of cultural transmission. The study of children also deeply considers the reasons for children’s errors and the mechanisms underlying the development of more intelligent thought. The chapter is organized into five sections, each addressing a key theme of childhood intelligence: continuity amid developmental change, multiple modes of reasoning, when children outperform adults, the role of social context, and policy implications. Each section focuses on a few content areas that illustrate the theme and how it relates to intelligence. We draw on literature from the full childhood period from two years to eighteen years, though the primary focus is on children in preschool and elementary school (2–10), where the majority of research has been done.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abbasi, J. (2017). Junk food ads reach children despite food industry self-regulationJournal of the American Medical Association317(23), 23592361. https://doi.org/10.1001/jama.2017.4653Google Scholar
Ackil, J. K., & Zaragoza, M. S. (1995). Developmental differences in eyewitness suggestibility and memory for source. Journal of Experimental Child Psychology, 60(1), 5783. https://doi.org/10.1006/jecp.1995.1031Google Scholar
Adolph, K. E., Bertenthal, B. I., Boker, S. M., Goldfield, E. C., & Gibson, E. J. (1997). Learning in the development of infant locomotionMonographs of the Society for Research in Child Development, 162(3), ivi, 1158. https://doi.org/10.2307/1166199Google Scholar
Adolph, L. E., & Hoch, J. E. (2019). Motor development: Embodied, embedded, enculturated, and enablingAnnual Review of Psychology, 70, 141164. https://doi.org/10.1146/annurev-psych-010418-102836CrossRefGoogle ScholarPubMed
Aguiar, N. R., Stoess, C. J., & Taylor, M. (2012). The development of children’s ability to fill the gaps in their knowledge by consulting expertsChild Development83(4), 13681381. https://doi.org/10.1111/j.1467-8624.2012.01782.xGoogle Scholar
Amato, P. R., & Dorius, C. (2010). Fathers, children, and divorce. In Lamb, M. E. (Ed.), The role of the father in child development (5th ed., pp. 177200). Hoboken, NJ: Wiley.Google Scholar
Atran, S. (1998). Folk biology and the anthropology of science: Cognitive universals and cultural particularsBehavioral and Brain Sciences21(4), 547569.Google Scholar
Bascandziev, I., & Harris, P. L. (2013). In beauty we trust: Children prefer information from more attractive informantsBritish Journal of Developmental Psychology32(1), 9499. https://doi.org/10.1111/bjdp.12022Google Scholar
Batada, A., & Wootan, M. G. (2007). Nickelodeon markets nutrition-poor foods to childrenAmerican Journal of Preventive Medicine33(1), 4850. https://doi.org/10.1016/j.amepre.2007.02.035Google Scholar
Beilock, S. L., Gunderson, E. A., Ramirez, G., & Levine, S. C. (2010). Female teachers’ math anxiety affects girls’ math achievementProceedings of the National Academy of Sciences107(5), 18601863. https://doi.org/10.1073/pnas.0910967107Google Scholar
Bering, J. M., Blasi, C. H., & Bjorklund, D. F. (2005). The development of afterlife beliefs in religiously and secularly schooled childrenBritish Journal of Developmental Psychology23(4), 587607. https://doi.org/10.1348/026151005X36498Google Scholar
Bian, L., Leslie, S.-J., & Cimpian, A. (2017). Gender stereotypes about intellectual ability emerge early and influence children’s interests. Science, 355(6323), 389391. https://doi.org/10.1126/science.aah6524Google Scholar
Birch, L. L. (1980). Effects of peer models’ food choices and eating behaviors on preschoolers’ food preferences. Child Development, 51(2), 489496. https://doi.org/10.2307/1129283Google Scholar
Bjorklund, D. F., Dukes, C., & Brown, R. D. (2008). The development of memory strategies. In Courage, M. & Cowan, N. (Eds.), The development of memory in infancy and childhood (pp. 157188). Hove, UK: Psychology Press.Google Scholar
Bjorklund, D. F., & Green, B. L. (1992). The adaptive nature of cognitive immaturity. American Psychologist, 47, 4654. https://doi.org/10.1037/0003-066X.47.1.46Google Scholar
Blacker, K.-A., & LoBue, V. (2016). Behavioral avoidance of contagion in childhood. Journal of Experimental Child Psychology, 143, 162170. https://doi.org/10.1016/j.jecp.2015.09.033CrossRefGoogle ScholarPubMed
Bornstein, M. H., Hahn, C. S., & Suwalsky, J. T. (2013). Physically developed and exploratory young infants contribute to their own long-term academic achievementPsychological Science24(10), 19061917. https://doi.org/10.1177/0956797613479974Google Scholar
Bregant, J., Shaw, A., & Kinzler, K. D. (2016). Intuitive jurisprudence: Early reasoning about the functions of punishment. Journal of Empirical Legal Studies, 13(4), 693717. https://doi.org/10.1111/jels.12130CrossRefGoogle Scholar
Brosseau‐Liard, P. E., & Birch, S. A. (2010). “I bet you know more and are nicer too!”: What children infer from others’ accuracyDevelopmental Science13(5), 772778. https://doi.org/10.1111/j.1467-7687.2009.00932.xGoogle Scholar
Campos, J. J., Anderson, D. I., Barbu-Roth, M. A., Hubbard, E. M., Hertenstein, M. J., & Witherington, D. (2000). Travel broadens the mind. Infancy1(2), 149219.Google Scholar
Carey, S. (2009). The origin of concepts. New York: Oxford University Press.CrossRefGoogle Scholar
Centers for Disease Control and Prevention (2016). Influenza (Flu): Information for Schools & Childcare Providers. www.cdc.gov/flu/school.Google Scholar
Chapman, K., Nicholas, P., Banovic, D., & Supramaniam, R. (2006). The extent and nature of food promotion directed to children in Australian supermarketsHealth Promotion International21(4), 331339. https://doi.org/10.1093/heapro/dal028Google Scholar
Chen, Z., & Siegler, R. S. (2000). Intellectual development in childhood. In Sternberg, R. J. (Ed.), Handbook of intelligence (pp. 92116). New York: Cambridge University Press. https://doi.org/10.1017/CBO9780511807947.006Google Scholar
Chi, M. T. (1978). Knowledge structures and memory development. In Siegler, R. (Ed.), Children’s thinking: What develops? (pp. 7596). Mahwah, NJ: Erlbaum.Google Scholar
Clegg, J. M., Wen, N. J., & Legare, C. H. (2017). Is non-conformity WEIRD? Cultural variation in adults’ beliefs about children’s competency and conformityJournal of Experimental Psychology: General146(3), 428441. https://doi.org/10.1037/xge0000275Google Scholar
Cohen, D. J., & Sarnecka, B. W. (2014). Children’s number-line estimation shows development of measurement skills (not number representations. Developmental Psychology, 50(6), 16401652. https://doi.org/10.1037/a0035901Google Scholar
Connell, P. M., Brucks, M., & Nielsen, J. H. (2014). How childhood advertising exposure can create biased product evaluations that persist into adulthoodJournal of Consumer Research, 41(1), 119134. https://doi.org/10.1086/675218Google Scholar
Corriveau, K. H., Fusaro, M., & Harris, P. L. (2009). Going with the flow: Preschoolers prefer nondissenters as informantsPsychological Science20(3), 372377. https://doi.org/10.1111/j.1467-9280.2009.02291.xGoogle Scholar
Corriveau, K. H., & Harris, P. L. (2009). Choosing your informant: Weighing familiarity and recent accuracy. Developmental Science12(3), 426437. https://doi.org/10.1111/j.1467-7687.2008.00792.xGoogle Scholar
Corriveau, K. H., Harris, P. L., Meins, E., Fernyhough, C., Arnott, B., Elliott, L., et al. (2009b). Young children’s trust in their mother’s claims: Longitudinal links with attachment security in infancyChild Development80(3), 750761. https://doi.org/10.1111/j.1467-8624.2009.01295.xGoogle Scholar
Cowan, N. (2016). Working memory maturation: Can we get at the essence of cognitive growth? Perspectives on Psychological Science11(2), 239264. https://doi.org/10.1177/1745691615621279Google Scholar
Cruwys, T., Bevelander, K. E., & Hermans, R. C. (2015). Social modeling of eating: A review of when and why social influence affects food intake and choice. Appetite86, 318. https://doi.org/10.1016/j.appet.2014.08.035Google Scholar
Cunningham, S. A., Kramer, M. R., & Narayan, K. V. (2014). Incidence of childhood obesity in the United States. New England Journal of Medicine, 370(5), 403411. https://doi.org/10.1056/NEJMoa1309753CrossRefGoogle ScholarPubMed
Dahl, R. E. (2004). Adolescent brain development: A period of vulnerabilities and opportunities. Keynote addressAnnals of the New York Academy of Sciences1021(1), 122. https://doi.org/10.1196/annals.1308.001Google Scholar
Dalton, M. A., Longacre, M. R., Drake, K. M., Cleveland, L. P., Harris, J. L., et al. (2017). Child-targeted fast-food television advertising exposure is linked with fast-food intake among pre-school childrenPublic Health Nutrition20(9), 15481556. https://doi.org/10.1017/S1368980017000520Google Scholar
Dar-Nimrod, I., & Heine, S. J. (2011). Genetic essentialism: On the deceptive determinism of DNA. Psychological Bulletin, 137(5), 800818. https://doi.org/10.1037/a0021860Google Scholar
DeJesus, J. M., Kinzler, K. D., & Shutts, K. (2018). Food cognition and nutrition knowledge. In Fisher, J. O. & Lumeng, J. C. (Eds.), Pediatric food preferences and eating behaviors (pp. 271288). New York: Elsevier. https://doi.org/10.1016/B978-0-12-811716-3.00014-2Google Scholar
DeJesus, J. M., Shutts, K., & Kinzler, K. D. (2015). Eww she sneezed! Contamination context affects children’s food preferences and consumption. Appetite, 87, 303309. https://doi.org/10.1016/j.appet.2014.12.222Google Scholar
DeJesus, J. M., Shutts, K., & Kinzler, K. D. (2018). Mere social knowledge impacts children’s consumption and categorization of foods. Developmental Science. https://doi.org/10.1111/desc.12627Google Scholar
DeLoache, J. S., Simcock, G., & Macari, S. (2007). Planes, trains, automobiles – and tea sets: Extremely intense interests in very young childrenDevelopmental Psychology43(6), 15791586. https://doi.org/10.1037/0012-1649.43.6.1579Google Scholar
Diamond, A. (2013). Executive functionsAnnual Review of Psychology64, 135168. https://doi.org/10.1146/annurev-psych-113011-143750Google Scholar
Eidson, R. C., & Coley, J. D. (2014). Not so fast: Reassessing gender essentialism in young adultsJournal of Cognition and Development15(2), 382392. https://doi.org/10.1080/15248372.2013.763810Google Scholar
Einav, S., & Robinson, E. J. (2011). When being right is not enough: Four-year-olds distinguish knowledgeable informants from merely accurate informantsPsychological Science22(10), 12501253. https://doi.org/10.1177/0956797611416998Google Scholar
Feigenson, L., Dehaene, S., & Spelke, E. (2004). Core systems of numberTrends in Cognitive Sciences8(7), 307314. https://doi.org/10.1016/j.tics.2004.05.002Google Scholar
Feigenson, L., Libertus, M. E., & Halberda, J. (2013). Links between the intuitive sense of number and formal mathematics abilityChild Development Perspectives7(2), 7479. https://doi.org/10.1111/cdep.12019Google Scholar
Finn, A. S., Lee, T., Kraus, A., & Kam, C. L. H. (2014). When it hurts (and helps) to try: The role of effort in language learningPloS One9(7), e101806. https://doi.org/10.1371/journal.pone.0101806Google Scholar
Flavell, J. H. (1963). The developmental psychology of Jean Piaget. Princeton: D. Van Nostrand.Google Scholar
Flynn, E., O’Malley, C., & Wood, D. (2004). A longitudinal, microgenetic study of the emergence of false belief understanding and inhibition skillsDevelopmental Science7(1), 103115. https://doi.org/10.1111/j.1467-7687.2004.00326.xGoogle Scholar
Frank, M. C., Everett, D. L., Fedorenko, E., & Gibson, E. (2008). Number as a cognitive technology: Evidence from Pirahã language and cognitionCognition108(3), 819824. https://doi.org/10.1016/j.cognition.2008.04.007Google Scholar
Furth, H. G. (1973). Piaget, IQ and the nature-nurture controversyHuman Development16(1–2), 6173. https://doi.org/10.1159/000271267Google Scholar
Gaither, S. E., Chen, E. E., Corriveau, K. H., Harris, P. L., Ambady, N., & Sommers, S. R. (2014). Monoracial and biracial children: Effects of racial identity saliency on social learning and social preferencesChild Development85(6), 22992316. https://doi.org/10.1111/cdev.12266Google Scholar
Gelman, S. A. (2003). The essential child: Origins of essentialism in everyday thought. New York: Oxford University Press.Google Scholar
Gelman, S. A., & Legare, C. H. (2011). Concepts and folk theoriesAnnual Review of Anthropology40, 379398. https://doi.org/10.1146/annurev-an40Google Scholar
Gelman, S. A., & Marchak, K. A. (in press). How does intuition mislead? The role of human bias in scientific inquiry. In McCain, K. & Kampourakis, K. (Eds.), What is scientific knowledge? An introduction to contemporary epistemology of science. London: Routledge.Google Scholar
Gelman, S. A., & Rhodes, M. (2012). “Two-thousand years of stasis”: How psychological essentialism impedes evolutionary understanding. In Rosengren, K. S., Brem, S., Evans, E. M., & Sinatra, G. (Eds.), Evolution challenges: Integrating research and practice in teaching and learning about evolution (pp. 321). New York: Oxford University Press.Google Scholar
Gentner, D., & Rattermann, M. J. (1991). Language and the career of similarity. In Gelman, S. A. & Byrnes, J. P. (Eds.), Perspectives on language and thought: interrelations in development (pp. 225277). New York: Cambridge University Press.Google Scholar
Gergely, G., Bekkering, H., & Király, I. (2002). Developmental psychology: Rational imitation in preverbal infantsNature415(6873), 755. https://doi.org/10.1038/415755aGoogle Scholar
Gergely, G., & Csibra, G. (2003). Teleological reasoning in infancy: The naıve theory of rational action. Trends in Cognitive Sciences, 7(7), 287292. https://doi.org/10.1016/S1364-6613(03)00128-1Google Scholar
Giménez-Dasí, M., Guerrero, S., & Harris, P. L. (2005). Intimations of immortality and omniscience in early childhoodEuropean Journal of Developmental Psychology2(3), 285297. https://doi.org/10.1080/17405620544000039Google Scholar
Gopnik, A., O’Grady, S., Lucas, C. G., Griffiths, T. L., Wente, A., Bridgers, S., et al. (2017). Changes in cognitive flexibility and hypothesis search across human life history from childhood to adolescence to adulthood. Proceedings of the National Academy of Sciences, 201700811. https://doi.org/10.1073/pnas.1700811114Google Scholar
Gopnik, A., & Wellman, H. M. (1992). Why the child’s theory of mind really is a theoryMind and Language7(1–2), 145171. https://doi.org/10.1111/j.1468-0017.1992.tb00202.xGoogle Scholar
Gunderson, E. A., & Levine, S. C. (2011). Some types of parent number talk count more than others: Relations between parents’ input and children’s cardinal‐number knowledgeDevelopmental Science14(5), 10211032. https://doi.org/10.1111/j.1467-7687.2011.01050.xGoogle Scholar
Gweon, H., & Schulz, L. (2011). 16-month-olds rationally infer causes of failed actionsScience332(6037), 15241524. https://doi.org/10.1126/science.1204493Google Scholar
Halberda, J., Mazzocco, M. M., & Feigenson, L. (2008). Individual differences in non-verbal number acuity correlate with maths achievementNature455(7213), 665668. https://doi.org/10.1038/nature07246Google Scholar
Harris, P. L. (2011). Conflicting thoughts about deathHuman Development54(3), 160168. https://doi.org/10.1159/000329133CrossRefGoogle Scholar
Harris, P. L., Koenig, M. A., Corriveau, K. H., & Jaswal, V. K. (2018). Cognitive foundations of learning from testimonyAnnual Review of Psychology69, 251273. https://doi.org/10.1146/annurev-psych-122216-011710Google Scholar
Hartshorne, J. K., Tenenbaum, J. B., & Pinker, S. (2018). A critical period for second language acquisition: Evidence from 2/3 million English speakersCognition, 177, 263277. https://doi.org/10.1016/j.cognition.2018.04.007Google Scholar
Hatano, G., & Inagaki, K. (1994). Young children’s naive theory of biologyCognition50(1–3), 171188. https://doi.org/10.1016/0010-0277(94)90027-2Google Scholar
Henrich, J., Heine, S. J., & Norenzayan, A. (2010). Most people are not WEIRDNature466(7302), 29. https://doi.org/10.1038/466029aGoogle Scholar
Hofman, A. D., Visser, I., Jansen, B. R., & van der Maas, H. L. (2015). The balance-scale task revisited: A comparison of statistical models for rule-based and information-integration theories of proportional reasoningPloS One10(10), e0136449. https://doi.org/10.1371/journal.pone.0136449Google Scholar
Horne, Z., Powell, D., Hummel, J. E., & Holyoak, K. J. (2015). Countering antivaccination attitudesProceedings of the National Academy of Sciences112(33), 1032110324. https://doi.org/10.1073/pnas.1504019112Google Scholar
Jaffer, S., & Ma, L. (2015). Preschoolers show less trust in physically disabled or obese informants. Frontiers in Psychology, 5, 1524. https://doi.org/10.3389/fpsyg.2014.01524Google Scholar
Jara-Ettinger, J., Gweon, H., Tenenbaum, J. B., & Schulz, L. E. (2015). Children’s understanding of the costs and rewards underlying rational actionCognition140, 1423. https://doi.org/10.1016/j.cognition.2015.03.006Google Scholar
Kahneman, D. (2011). Thinking, fast and slow. New York: Macmillan.Google Scholar
Kail, R. V., Lervåg, A., & Hulme, C. (2016). Longitudinal evidence linking processing speed to the development of reasoningDevelopmental Science19(6), 10671074. https://doi.org/10.1111/desc.12352Google Scholar
Kam, C. L. H., & Newport, E. L. (2009). Getting it right by getting it wrong: When learners change languagesCognitive Psychology59(1), 3066. https://doi.org/10.1016/j.cogpsych.2009.01.001Google Scholar
Kaufman, A. S. (1997). KBIT-2: Kaufman Brief Intelligence Test. Minneapolis, MN: NCS Pearson.Google Scholar
Keen, R. (2011). The development of problem solving in young children: A critical cognitive skillAnnual Review of Psychology62, 121. https://doi.org/10.1146/annurev.psych.031809.130730Google Scholar
Kelemen, D. (2012). Teleological minds. In Rosengren, K. S., Brem, S., Evans, E. M., & Sinatra, G. (Eds.), Evolution challenges: Integrating research and practice in teaching and learning about evolution (pp. 6692). New York: Oxford University Press.Google Scholar
Kelemen, D., Rottman, J., & Seston, R. (2013). Professional physical scientists display tenacious teleological tendencies: Purpose-based reasoning as a cognitive defaultJournal of Experimental Psychology: General142(4), 10741083. https://doi.org/10.1037/a0030399Google Scholar
Kidd, C., Palmeri, H., & Aslin, R. N. (2013). Rational snacking: Young children’s decision-making on the marshmallow task is moderated by beliefs about environmental reliabilityCognition126(1), 109114. https://doi.org/10.1016/j.cognition.2012.08.004Google Scholar
Killen, M., Mulvey, K. L., Richardson, C., Jampol, N., & Woodward, A. (2011). The accidental transgressor: Morally-relevant theory of mindCognition119(2), 197215. https://doi.org/10.1016/j.cognition.2011.01.006Google Scholar
Kim, S. A., Moore, L. V., Galuska, D., Wright, A. P., Harris, D., Grummer-Strawn, L. M., et al. (2014). Vital signs: Fruit and vegetable intake among children – United States, 2003–2010. Morbidity and Mortality Weekly Report, 63(31), 671676.Google Scholar
Koenig, M. A., & Jaswal, V. K. (2011). Characterizing children’s expectations about expertise and incompetence: Halo or pitchfork effects? Child Development, 82(5), 16341647. https://doi.org/10.1111/j.1467-8624.2011.01618.xGoogle Scholar
Lamb, M. E., Malloy, L. C., Hershkowitz, I., & La Rooy, D. (2015). Children and the law. In Lamb, M. E. (Ed.), Handbook of child psychology and developmental science, vol. 3, Social, emotional, and personality development (7th ed., pp. 464512). Hoboken NJ: Wiley. https://doi.org/10.1002/9781118963418.childpsy312Google Scholar
Lane, J. D., Wellman, H. M., & Gelman, S. A. (2012). Informants’ traits weigh heavily in young children’s trust in testimony and in their epistemic inferencesChild Development84(4), 12531268. https://doi.org/10.1111/cdev.12029Google Scholar
Legare, C. H., Evans, E. M., Rosengren, K. S., & Harris, P. L. (2012). The coexistence of natural and supernatural explanations across cultures and developmentChild Development83(3), 779793. https://doi.org/10.1111/j.1467-8624.2012.01743.xGoogle Scholar
Legare, C. H., & Gelman, S. A. (2008). Bewitchment, biology, or both: The co-existence of natural and supernatural explanatory frameworks across developmentCognitive Science32(4), 607642. https://doi.org/10.1080/03640210802066766CrossRefGoogle ScholarPubMed
Legare, C. H., & Nielsen, M. (2015). Imitation and innovation: The dual engines of cultural learningTrends in Cognitive Sciences19(11), 688699. https://doi.org/10.1016/j.tics.2015.08.005Google Scholar
Legare, C. H., Wellman, H. M., & Gelman, S. A. (2009). Evidence for an explanation advantage in naïve biological reasoning. Cognitive Psychology, 58(2), 177194. https://doi.org/10.1016/j.cogpsych.2008.06.002Google Scholar
Leslie, S.-J., Cimpian, A., Meyer, M., & Freeland, E. (2015). Expectations of brilliance underlie gender distributions across academic disciplines. Science, 347(6219), 262265. https://doi.org/10.1126/science.1261375Google Scholar
Liberman, Z., Kinzler, K. D., & Woodward, A. L. (2018). The early social significance of shared ritual actionsCognition171, 4251. https://doi.org/0.1016/j.cognition.2017.10.018Google Scholar
Libertus, K., Joh, A. S., & Needham, A. W. (2016). Motor training at 3 months affects object exploration 12 months later. Developmental Science, 19, 10581066. https://doi.org/10.1111/desc.12370Google Scholar
Longacre, M. R., Drake, K. M., Titus, L. J., Harris, J., Cleveland, L. P., Langeloh, G., et al. (2017). Child-targeted TV advertising and preschoolers’ consumption of high-sugar breakfast cerealsAppetite108, 295302. https://doi.org/10.1016/j.appet.2016.10.014Google Scholar
Lyons, D. E., Young, A. G., & Keil, F. C. (2007). The hidden structure of overimitation. Proceedings of the National Academy of Sciences, 104(50), 1975119756. https://doi.org/10.1073/pnas.0704452104Google Scholar
Maloney, E. A., Ramirez, G., Gunderson, E. A., Levine, S. C., & Beilock, S. L. (2015). Intergenerational effects of parents’ math anxiety on children’s math achievement and anxietyPsychological Science26(9), 14801488. https://doi.org/10.1177/0956797615592630Google Scholar
Mayr, E. (1974). Behavior programs and evolutionary strategies: Natural selection sometimes favors a genetically “closed” behavior program, sometimes an “open” oneAmerican Scientist62(6), 650659.Google Scholar
Morrison, A. B., & Chein, J. M. (2011). Does working memory training work? The promise and challenges of enhancing cognition by training working memoryPsychonomic Bulletin and Review18(1), 4660. https://doi.org/10.3758/s13423-010-0034-0Google Scholar
Moses, L. J., & Baldwin, D. A. (2005). What can the study of cognitive development reveal about children’s ability to appreciate and cope with advertising? Journal of Public Policy and Marketing, 24, 186201. https://doi.org/10.1509/jppm.2005.24.2.186Google Scholar
Moshman, D., & Tarricone, P. (2016). Logical and causal reasoning. In Greene, J. A., Sandoval, W. A., & Bråten, I. (Eds.), Handbook of epistemic cognition (pp. 5467). New York: Routledge.Google Scholar
Newport, E. L. (1990). Maturational constraints on language learningCognitive Science14(1), 1128. https://doi.org/10.1207/s15516709cog1401_2Google Scholar
Nguyen, S. P. (2012). The role of external sources of information in children’s evaluative food categoriesInfant and Child Development21(2), 216235. https://doi.org/10.1002/icd.745Google Scholar
Nguyen, S. P., & Rosengren, K. S. (2004). Causal reasoning about illness: A comparison between European and Vietnamese-American childrenJournal of Cognition and Culture4(1), 5178. https://doi.org/10.1163/156853704323074750Google Scholar
Nielsen, M. (2013). Young children’s imitative and innovative behaviour on the floating object taskInfant and Child Development22(1), 4452. https://doi.org/10.1002/icd.1765Google Scholar
Nielsen, M., & Blank, C. (2011). Imitation in young children: When who gets copied is more important than what gets copiedDevelopmental Psychology4710501053. https://doi.org/10.1037/a0023866Google Scholar
Nielsen, M., Haun, D., Kärtner, J., & Legare, C. H. (2017). The persistent sampling bias in developmental psychology: A call to actionJournal of Experimental Child Psychology162, 3138. https://doi.org/10.1016/j.jecp.2017.04.017Google Scholar
Nielsen, M., Mushin, I. Tomaselli, K., & Whiten, A. (2014). Where culture takes hold: “Overimitation” and its flexible deployment in Western, Aboriginal, and Bushmen children. Child Development, 85(6), 21692184. https://doi.org/10.1111/cdev.12265Google Scholar
Over, H., & Carpenter, M. (2009). Priming third‐party ostracism increases affiliative imitation in childrenDevelopmental Science12(3). https://doi.org/10.1111/j.1467-7687.2008.00820.xGoogle Scholar
Petitto, L. A., Berens, M. S., Kovelman, I., Dubins, M. H., Jasinska, K., & Shalinsky, M. (2012). The “Perceptual Wedge Hypothesis” as the basis for bilingual babies’ phonetic processing advantage: New insights from fNIRS brain imagingBrain and Language121(2), 130143. https://doi.org/10.1016/j.bandl.2011.05.003Google Scholar
Piaget, J. (1968). Piaget’s point of view. International Journal of Psychology, 3(4), 281299. https://doi.org/10.1080/00207596808246651Google Scholar
Piazza, M., Facoetti, A., Trussardi, A. N., Berteletti, I., Conte, S., Lucangeli, D., et al. (2010). Developmental trajectory of number acuity reveals a severe impairment in developmental dyscalculiaCognition116(1), 3341. https://doi.org/10.1016/j.cognition.2010.03.012Google Scholar
Raman, L., & Gelman, S. A. (2004). A cross-cultural developmental analysis of children’s and adults’ understanding of illness in South Asia (India) and the United StatesJournal of Cognition and Culture4(2), 293317. https://doi.org/10.1163/1568537041725088Google Scholar
Rhodes, M., Gelman, S. A., & Brickman, D. (2010). Children’s attention to sample composition in learning, teaching and discoveryDevelopmental Science13(3), 421429. https://doi.org/10.1111/j.1467-7687.2009.00896.xGoogle Scholar
Rhodes, M., & Wellman, H. (2013). Constructing a new theory from old ideas and new evidenceCognitive Science37(3), 592604. https://doi.org/10.1111/cogs.12031Google Scholar
Richland, L. E., & Burchinal, M. R. (2013). Early executive function predicts reasoning developmentPsychological Science24(1), 8792. https://doi.org/10.1177/0956797612450883Google Scholar
Richland, L. E., Morrison, R. G., & Holyoak, K. J. (2006). Children’s development of analogical reasoning: Insights from scene analogy problemsJournal of Experimental Child Psychology94(3), 249273. https://doi.org/10.1016/j.jecp.2006.02.002Google Scholar
Roberto, C. A., Baik, J., Harris, J. L., & Brownell, K. D. (2010). Influence of licensed characters on children’s taste and snack preferences. Pediatrics, 126(1), 8893. https://doi.org/10.1542/peds.2009-3433Google Scholar
Rogoff, B. (2003). The cultural nature of human development. New York: Oxford University Press.Google Scholar
Rosengren, K. S., Brem, S. K., Evans, E. M., & Sinatra, G. M. (Eds.) (2012). Evolution challenges: Integrating research and practice in teaching and learning about evolution. New York: Oxford University Press.Google Scholar
Rosengren, K. S., Miller, P. J., Gutiérrez, I. T., Chow, P. I., Schein, S. S., Anderson, K. N., et al. (Eds.) (2014). Children’s understanding of death: Toward a contextualized and integrated account. Monographs of the Society for Research in Child Development, vol. 79.1. Boston: John Wiley & Sons.Google Scholar
Rozin, P., Hammer, L., Oster, H., Horowitz, T., & Marmora, V. (1986). The child’s conception of food: Differentiation of categories of rejected substances in the 16 months to 5 year age range. Appetite, 7(2), 141151. https://doi.org/10.1016/S0195-6663 (86)80014-9Google Scholar
Sánchez Tapia, I., Gelman, S. A., Hollander, M., Manczak, E. M., Mannheim, B., & Escalante, C. (2016). Development of teleological explanations in Peruvian Quechua-speaking and US English-speaking preschoolers and adults. Child Development, 87(3), 747758. https://doi.org/10.1111/cdev.12497Google Scholar
Schneider, W. (1996). The effects of expertise and IQ on children’s memory: When knowledge is, and when it is not enoughInternational Journal of Behavioral Development19(4), 773796. https://doi.org/10.1080/016502596385578Google Scholar
Senghas, A., Kita, S., & Özyürek, A. (2004). Children creating core properties of language: Evidence from an emerging sign language in NicaraguaScience305(5691), 17791782. https://doi.org/10.1126/science.1100199Google Scholar
Shtulman, A., & Calabi, P. (2012). Cognitive constraints on the understanding and acceptance of evolution. In Rosengren, K. S., Brem, S., Evans, E. M., & Sinatra, G. (Eds.), Evolution challenges: Integrating research and practice in teaching and learning about evolution (pp. 4765). New York: Oxford University Press.Google Scholar
Shtulman, A., & Harrington, K. (2016). Tensions between science and intuition across the lifespanTopics in Cognitive Sciences8(1), 118137. https://doi.org/10.1111/tops.12174Google Scholar
Shutts, K., Kinzler, K. D., & DeJesus, J. M. (2013). Infants’ and children’s social learning about foods: Previous research and new prospects. Developmental Psychology, 49(3), 419425. https://doi.org/10.1037/a0027551Google Scholar
Siegler, R. S. (1996). Emerging minds: The process of change in children’s thinking. New York: Oxford University Press.Google Scholar
Siegler, R. S. (2007). Cognitive variabilityDevelopmental Science10(1), 104109. https://doi.org/10.1111/j.1467-7687.2007.00571.xGoogle Scholar
Siegler, R. S., & Lortie‐Forgues, H. (2014). An integrative theory of numerical developmentChild Development Perspectives8(3), 144150. https://doi.org/10.1111/cdep.12077Google Scholar
Siegler, R. S., & Opfer, J. E. (2003). The development of numerical estimation: Evidence for multiple representations of numerical quantityPsychological Science14(3), 237250. https://doi.org/10.1111/1467-9280.02438Google Scholar
Solomon, G. E. A., & Cassimatis, N. L. (1999). On facts and conceptual systems: Young children’s integration of their understandings of germs and contagion. Developmental Psychology, 35(1), 113126. https://doi.org/10.1037/0012-1649.35.1.113Google Scholar
Sommerville, J. A., Woodward, A. L., & Needham, A. (2005). Action experience alters 3-month-old infants’ perception of others’ actionsCognition96(1), B1B11. https://doi.org/10.1016/j.cognition.2004.07.004Google Scholar
Starr, A., Libertus, M. E., & Brannon, E. M. (2013). Number sense in infancy predicts mathematical abilities in childhoodProceedings of the National Academy of Sciences110(45), 1811618120. https://doi.org/10.1073/pnas.1302751110Google Scholar
Storage, D., Horne, Z., Cimpian, A., & Leslie, S. J. (2016). The frequency of “brilliant” and “genius” in teaching evaluations predicts the representation of women and African Americans across fieldsPloS One11(3), e0150194. https://doi.org/10.1371/journal.pone.0150194Google Scholar
Susperreguy, M. I., & Davis-Kean, P. E. (2016). Maternal math talk in the home and math skills in preschool childrenEarly Education and Development27(6), 841857. https://doi.org/10.1080/10409289.2016.1148480Google Scholar
Tomasello, M. (1999). The cultural origins of human cognition. Cambridge, MA: Harvard University Press.Google Scholar
Trentacosta, C. J., Davis‐Kean, P., Mitchell, C., Hyde, L., & Dolinoy, D. (2016). Environmental contaminants and child developmentChild Development Perspectives10(4), 228233. https://doi.org/10.1111/cdep.12191Google Scholar
van der Ven, S. H. G., Boom, J., Kroesbergen, E. H., & Leseman, P. P. M. (2012). Microgenetic patterns of children’s multiplication learning: Confirming the overlapping waves model by latent growth modelingJournal of Experimental Child Psychology, 113, 119. https://doi.org/10.1016/j.jecp.2012.02.001Google Scholar
Vanderbilt, K. E., Heyman, G. D., & Liu, D. (2014). In the absence of conflicting testimony young children trust inaccurate informantsDevelopmental Science17(3), 443451. https://doi.org/10.1111/desc.12134Google Scholar
Vanderbilt, K. E., Liu, D., & Heyman, G. D. (2011). The development of distrustChild Development82(5), 13721380. https://doi.org/10.1111/j.1467-8624.2011.01629.xGoogle Scholar
VanderBorght, M., & Jaswal, V. K. (2009). Who knows best? Preschoolers sometimes prefer child informants over adult informants. Infant and Child Development, 18(1), 6171. https://doi.org/10.1002/icd.591Google Scholar
Vendetti, M. S., Matlen, B. J., Richland, L. E., & Bunge, S. A. (2015). Analogical reasoning in the classroom: Insights from cognitive scienceMind, Brain, and Education9(2), 100106. https://doi.org/10.1111/mbe.12080Google Scholar
Ware, E. A., & Gelman, S. A. (2014). You get what you need: An examination of purpose-based inheritance reasoning in undergraduates, preschoolers, and biological expertsCognitive Science38(2), 197243. https://doi.org/10.1111/cogs.12097Google Scholar
Wellman, H. M., & Gelman, S. A. (1998). Knowledge acquisition. In Kuhn, D. & Siegler, R. (Eds.), Handbook of child psychology, vol. 2, Cognitive development (5th ed., pp. 523573). New York: Wiley.Google Scholar
Wen, N. J., Herrmann, P. A., & Legare, C. H. (2016). Ritual increases children’s affiliation with in-group membersEvolution and Human Behavior, 37(1), 5460. https://doi.org/10.1016/j.evolhumbehav.2015.08.002Google Scholar
Wendelken, C., Ferrer, E., Whitaker, K. J., & Bunge, S. A. (2015). Fronto-parietal network reconfiguration supports the development of reasoning abilityCerebral Cortex26(5), 21782190. https://doi.org/10.1093/cercor/bhv050Google Scholar
Werker, J. F., & Tees, R. C. (2002). Cross-language speech perception: Evidence for perceptual reorganization during the first year of lifeInfant Behavior and Development25(1), 121133. https://doi.org/10.1016/S0163-6383(02)00093-0Google Scholar
Woolley, J. D., & Phelps, K. E. (2001). The development of children’s beliefs about prayerJournal of Cognition and Culture1(2), 139166. https://doi.org/10.1163/156853701316931380Google Scholar
Xu, F., & Kushnir, T. (2013). Infants are rational constructivist learnersCurrent Directions in Psychological Science22(1), 2832. https://doi.org/10.1177/0963721412469396Google Scholar
Xu, F., & Tenenbaum, J. B. (2007). Word learning as Bayesian inferencePsychological Review114(2), 245272. https://doi.org/10.1037/0033-295X.114.2.245Google Scholar
Zelazo, P. D., Müller, U., Frye, D., Marcovitch, S., Argitis, G., Boseovski, J., et al. (2003). The development of executive function in early childhoodMonographs of the Society for Research in Child Development, 68(3), i151.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×