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the psychology of learning and motivation - Percepts and Concepts ...

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172 Robert S. Siegler et al.o<strong>the</strong>r numerical activities. Detailed analyses <strong>of</strong> <strong>learning</strong> patterns indicatedthat this <strong>the</strong>oretically motivated, game-based intervention exercises most<strong>of</strong> its effects by enhancing <strong>and</strong> refining children’s representations <strong>of</strong> numericalmagnitudes.1. INTRODUCTIONWhen children enter kindergarten, <strong>the</strong>y already differ greatly inma<strong>the</strong>matical knowledge. These early differences have large <strong>and</strong> lastingconsequences. Initial knowledge predicts subsequent success in manydomains (Bransford, Brown, & Cocking, 1999), but <strong>the</strong> relation betweenearly math knowledge <strong>and</strong> subsequent math achievement is particularlystrong <strong>and</strong> persistent (e.g., roughly twice as strong as <strong>the</strong> relation betweenearly <strong>and</strong> later reading achievement; Duncan et. al, 2007). Limited ma<strong>the</strong>maticalknowledge has large, deleterious economic <strong>and</strong> occupationalconsequences in adulthood (McCloskey, 2007; Rivera-Batiz, 1992).Children from low-income families are particularly at risk for difficulties<strong>learning</strong> ma<strong>the</strong>matics. They tend to begin school with less numericalknowledge than <strong>the</strong>ir classmates from middle- or high-income households,<strong>and</strong> over <strong>the</strong> course <strong>of</strong> schooling, <strong>the</strong>y fall steadily fur<strong>the</strong>r behind(e.g., N. C. Jordan, Kaplan, Olah, & Locuniak, 2006). Again, similarpatterns are present in o<strong>the</strong>r areas such as reading, but <strong>the</strong> differences inma<strong>the</strong>matical knowledge tend to be greater (Case, Griffin, & Kelly, 1999).Recognition <strong>of</strong> <strong>the</strong>se problems has led a number <strong>of</strong> researchers todevise programs intended to improve <strong>the</strong> ma<strong>the</strong>matical knowledge <strong>of</strong>preschoolers from low-income families <strong>and</strong> thus to reduce <strong>the</strong> gapbetween <strong>the</strong>m <strong>and</strong> children from more affluent backgrounds. However,<strong>the</strong>se large-scale interventions are costly, both financially <strong>and</strong> in <strong>the</strong> timeneeded to train teachers to implement <strong>the</strong>m. Because <strong>the</strong>se interventionsare so multifaceted, <strong>the</strong>y also yield limited information regarding how toimprove future interventions <strong>and</strong> future <strong>the</strong>ories <strong>of</strong> numerical cognition.In this chapter, we briefly describe <strong>the</strong> early development <strong>of</strong> numericalknowledge, differences between <strong>the</strong> numerical knowledge <strong>of</strong> preschoolersfrom low-income <strong>and</strong> middle-income backgrounds, <strong>and</strong> three broad-basedcurricular interventions that have been found to improve that knowledge.We <strong>the</strong>n present a <strong>the</strong>oretical analysis that suggests that underdevelopedknowledge <strong>of</strong> numerical magnitudes is a key source <strong>of</strong> <strong>the</strong> ma<strong>the</strong>maticaldifficulties <strong>of</strong> children from low-income backgrounds. Next, we describean intervention, based on <strong>the</strong> <strong>the</strong>oretical analysis, designed to improveyoung children’s knowledge <strong>of</strong> numerical magnitudes. Finally, we presentevidence regarding <strong>the</strong> effectiveness <strong>of</strong> <strong>the</strong> intervention <strong>and</strong> discuss generalimplications <strong>of</strong> <strong>the</strong> findings.

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