<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="/static/oaitohtml.xsl"?>

<!--
<?xml-stylesheet type="text/xsl" href="/oaitohtml.xsl"?>
-->

<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <responseDate>2026-10-11T12:48:12Z</responseDate>
    <request verb="GetRecord" metadataPrefix="oai_dc" identifier="10.57760/sciencedb.31913" >https://www.scidb.cn/oai</request>
<GetRecord>
    <record>
    <header >
    <identifier>10.57760/sciencedb.31913</identifier>
    <datestamp>2026-04-07T10:07:47Z</datestamp>
</header>
    <metadata>
        
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-04-07</dc:date>
  <dc:title>Rural-Oriented Pre-service Teachers' AI Literacy in China: Status, Disparities, and Structural Barriers</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.31913</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>农村导向的准教师（ROPT）是中国政策招聘的教师候选人，毕业后合同承诺在农村学校任教。他们的人工智能（AI）素养直接影响农村学校是否能参与教育的数字化转型。这项混合方法研究对681名准前教师（148名ROPT和533名普通准教师）进行了调查，采用32题的AI素养问卷和开放式问题。结果显示，ROPT的AI素养处于中等水平（M = 3.08，SD = 0.84），表现出明显的低知识高整合结构模式。与普通准教师相比，ROPTs在四个维度上的得分显著较低，AI知识差距最大（Cohen的d = &amp;minus;1.23）。性别是AI素养最强的预测因素（&amp;beta; = 0.350），而AI课程完成率并未显著预测识字水平。识别出三个相互强化的结构性障碍：知识不足、课程无效和性别数字鸿沟。本文讨论了针对有针对性课程重新设计和以公平为导向教师准备的影响。</dc:description>
  <dc:subject>AI literacy; rural-oriented pre-service teachers; teacher education; digital transformation; gender digital divide; China</dc:subject>
  <dc:creator>xu xu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1080/02188791.2013.870065</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
</oai_dc:dc>

    </metadata>
</record>
</GetRecord>
</OAI-PMH>