<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T14:26:55Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/120622" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/120622</identifier><datestamp>2026-06-16T18:52:34Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">John D.E. Gabrieli and Laura E. Schulz.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Leonard, Julia Anne, Ph. D. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2019-03-01T19:52:37Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2019-03-01T19:52:37Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/120622</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1086609736</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D., Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 129-170).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Adults greatly impact children's learning: they serve as models of how to behave, and as parents, provide the larger social context in which children grow up. This thesis explores how adults impact children's learning across two time scales. Chapters 2 and 3 ask how a brief exposure to an adult model impacts children's moment-to-moment approach towards learning, and Chapters 4 and 5 look at how children's long-term social context impacts their brain development and capacity to learn. In Chapter 2, I show that preschool-age children integrate information from adults' actions, outcomes, and testimony to decide how hard to try on novel tasks. Children persist the longest when adults practice what they preach: saying they value effort, or giving children a pep talk, in conjunction with demonstrating effortful success on their own task. Chapter 3 demonstrates that social learning about effort is present in the first year of life and generalizes across tasks. In Chapter 4, I find that adolescents' long-term social environments have a selective impact on neural structure and function: socioeconomic-status (SES) relates to hippocampal-prefrontal declarative memory, but not striatal-dependent procedural memory. Finally, in Chapter 5 I demonstrate that the neural correlates of fluid reasoning differ by SES, suggesting that positive brain development varies by early life environment. Collectively, this work elucidates both the malleable social factors that positively impact children's learning and the unique neural and cognitive adaptations that children develop in response to adverse environments.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Julia Anne Leonard.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">vii, 170 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Brain and Cognitive Sciences.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Social influences on children's learning</dim:field>
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   	&lt;Title>Social influences on children&amp;apos;s learning&lt;/Title>
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   	&lt;PublicationDate>2018&lt;/PublicationDate>
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        	&lt;DisplayName>Leonard, Julia Anne, Ph. D. Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Brain and Cognitive Sciences.&lt;/Keyword>
   	&lt;Abstract>Adults greatly impact children&amp;apos;s learning: they serve as models of how to behave, and as parents, provide the larger social context in which children grow up. This thesis explores how adults impact children&amp;apos;s learning across two time scales. Chapters 2 and 3 ask how a brief exposure to an adult model impacts children&amp;apos;s moment-to-moment approach towards learning, and Chapters 4 and 5 look at how children&amp;apos;s long-term social context impacts their brain development and capacity to learn. In Chapter 2, I show that preschool-age children integrate information from adults&amp;apos; actions, outcomes, and testimony to decide how hard to try on novel tasks. Children persist the longest when adults practice what they preach: saying they value effort, or giving children a pep talk, in conjunction with demonstrating effortful success on their own task. Chapter 3 demonstrates that social learning about effort is present in the first year of life and generalizes across tasks. In Chapter 4, I find that adolescents&amp;apos; long-term social environments have a selective impact on neural structure and function: socioeconomic-status (SES) relates to hippocampal-prefrontal declarative memory, but not striatal-dependent procedural memory. Finally, in Chapter 5 I demonstrate that the neural correlates of fluid reasoning differ by SES, suggesting that positive brain development varies by early life environment. Collectively, this work elucidates both the malleable social factors that positively impact children&amp;apos;s learning and the unique neural and cognitive adaptations that children develop in response to adverse environments.&lt;/Abstract>
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