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    <responseDate>2026-10-14T14:41:20Z</responseDate>
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    <identifier>10.57760/sciencedb.41882</identifier>
    <datestamp>2026-07-08T20:35:47Z</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>2026-07-08</dc:date>
  <dc:title>Dataset of a Quasi-Experimental Study on the Effects of Digital Human Videos and AI Dialogue Practice on Japanese Indirect Speech Acts Learning</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.41882</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset originates from a one-semester quasi-experimental study involving 93 first-year Japanese major students at a Chinese university. It contains pretest and posttest objective grammar scores (0&amp;ndash;100), six-item self-efficacy ratings for indirect reporting, and the experimental group&amp;rsquo;s (n=44) evaluation of the AI dialogue practice experience (7-point Likert scale) as well as their perceptions of traditional classroom challenges. The data can be used to examine the effects of an integrated instructional model combining digital human scenario demonstrations with large language model-based dialogue feedback on L2 grammatical knowledge, self-efficacy, and affective filter.</dc:description>
  <dc:subject>digital human; AI dialogue; Japanese grammar acquisition; indirect speech acts; self-efficacy</dc:subject>
  <dc:creator>li juan</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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