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    <responseDate>2026-10-14T06:05:05Z</responseDate>
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    <identifier>10.57760/sciencedb.45578</identifier>
    <datestamp>2026-08-17T11:20:45Z</datestamp>
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<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>2026-08-17</dc:date>
  <dc:title>Profiles and Qualitative Analysis Results of the Typical &amp;ldquo;AI + Higher Education&amp;rdquo; Cases Recommended by China&amp;rsquo;s Ministry of Education (2024&amp;ndash;2025)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.45578</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Starting from April 2024, the Ministry of Education of our country has recommended 80 typical cases of &amp;quot;AI+higher education&amp;quot; in three batches, covering the entire chain of &amp;quot;teaching learning evaluation management&amp;quot; in higher education, including teaching innovation, practical teaching, interdisciplinary talent cultivation, industry education integration, personalized learning support, intelligent evaluation, teaching quality monitoring, education management and decision-making, and other core scenarios. They represent the latest progress in the digitization of higher education, are vivid practical applications, and rich local experience. This dataset is for the basic statistical and qualitative analysis of the material&amp;nbsp;</dc:description>
  <dc:subject>AI; higher education; Future learning center; typical case</dc:subject>
  <dc:creator>peng xiao ju</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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