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    <identifier>10.57760/sciencedb.0130h</identifier>
    <datestamp>2026-09-18T10:06:32Z</datestamp>
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  <dc:date>2026-09-18</dc:date>
  <dc:title>Semi-structured Interview Dataset of Generative AI Embedded in Engineering Experimental Teaching</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.0130h</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains qualitative interview materials supporting the paper Generative Artificial Intelligence Embedded in Engineering Experimental Teaching: Risks and Governance Paths. Adopting the semi‑structured interview method, the study interviewed seven respondents. The dataset includes the interview outline and desensitized excerpts of interview transcripts (only the interview content cited in the paper is included, rather than the full interview records). All respondents are anonymized with identifiers E1‑E4 and A1‑A3, and all personally identifiable information has been removed. The original interview audio recordings are not deposited for privacy‑protection purposes. This dataset is solely used for verifying the conclusions of the paper.</dc:description>
  <dc:subject>生成式人工智能; 工科实验教学; 风险治理</dc:subject>
  <dc:creator>Yao Yue</dc:creator>
  <dc:creator>Liu Bing</dc:creator>
  <dc:rights>EMBARGO</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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