<?xml version='1.0' encoding='utf-8'?>
<eprints xmlns='http://eprints.org/ep2/data/2.0'>
  <eprint id='https://researchdata.gla.ac.uk/id/eprint/2326'>
    <eprintid>2326</eprintid>
    <rev_number>18</rev_number>
    <eprint_status>archive</eprint_status>
    <userid>32968</userid>
    <dir>disk0/00/00/23/26</dir>
    <datestamp>2026-07-09 14:32:42</datestamp>
    <lastmod>2026-07-09 14:32:49</lastmod>
    <status_changed>2026-07-09 14:32:42</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Aljohani</family>
          <given>Khalid Abdullah R</given>
        </name>
        <enlightenid>76274</enlightenid>
      </item>
      <item>
        <name>
          <family>Ansari</family>
          <given>Shuja</given>
        </name>
        <enlightenid>54085</enlightenid>
        <orcid>0000-0003-2071-0264</orcid>
      </item>
    </creators>
    <uniqueid>glaresearchdata:2026-07-09-2326</uniqueid>
    <title>VR Training Modalities for Engineering Laboratory Induction: raw questionnaire responses (51 participants)</title>
    <divisions>
      <item>30300000</item>
    </divisions>
    <abstract>De-identified raw responses from a between-subjects study comparing three immersive VR training modalities (human-mediated Livestream VR, AI-mediated EON XR, and self-mediated Matterport VR Tour) for nanofabrication cleanroom laboratory induction. The dataset contains knowledge test scores (pre, post, and delayed post-test), and self-reported confidence, satisfaction, enjoyment, cognitive load, and simulation-sickness ratings for 51 undergraduate participants. Includes a codebook and README.</abstract>
    <date>2026-07-09</date>
    <publisher>University of Glasgow</publisher>
    <id_number>10.5525/gla.researchdata.2326</id_number>
    <copyright_holders>
      <item>University of Glasgow</item>
    </copyright_holders>
    <pending>FALSE</pending>
    <language>English</language>
    <collection_date>
      <date_from>2025-01</date_from>
      <date_to>2025-12</date_to>
    </collection_date>
    <temporal_cover>
      <date_from>2025-01</date_from>
      <date_to>2025-12</date_to>
    </temporal_cover>
    <retention_date>2036-07-09</retention_date>
    <retention_action>R</retention_action>
    <dataset_origin>
      <item>email</item>
    </dataset_origin>
    <ingest_data>
      <item>
      </item>
      <item>
      </item>
      <item>
      </item>
      <item>
      </item>
    </ingest_data>
    <archive_data>
      <item>
      </item>
      <item>
      </item>
      <item>
      </item>
      <item>
      </item>
    </archive_data>
    <ethics_consent_required>TRUE</ethics_consent_required>
    <ethics_application_number>300240093</ethics_application_number>
    <ethics_committee>cose</ethics_committee>
    <request_copy>FALSE</request_copy>
  </eprint>
</eprints>
