<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-05-31T02:03:44Z</responseDate><request verb="GetRecord" identifier="oai:riuma.uma.es:10630/39565" metadataPrefix="marc">https://riuma.uma.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:riuma.uma.es:10630/39565</identifier><datestamp>2026-02-03T10:51:40Z</datestamp><setSpec>com_10630_2254</setSpec><setSpec>col_10630_37953</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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      <subfield code="a">Rudolphi Solero, Teodoro</subfield>
      <subfield code="e">author</subfield>
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Bajos-Ariza, Fernando</subfield>
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Lorenzo Álvarez, Rocío</subfield>
      <subfield code="e">author</subfield>
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Domínguez-Pinos, Dolores</subfield>
      <subfield code="e">author</subfield>
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Ruiz-Gómez, Miguel José</subfield>
      <subfield code="e">author</subfield>
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   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Sendra-Portero, Francisco</subfield>
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      <subfield code="c">2025</subfield>
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      <subfield code="a">Objectives The metaverse (MV) is a simulated virtual world enabling simultaneous interaction and communication between students, teachers, and colleagues. This study compared a problem-based learning experience in radiology conducted face-to-face in real life (RL) and within the MV.&#xd;
&#xd;
Methods During a radiology clinical rotation, groups of approximately 25 sixth-year medical students participated over 2 years in real life and 2 years in the MV. Each group was divided into eight teams of 3–4 students, each assigned a radiological clinical case for study, presentation, and debate with classmates. Students evaluated other teams, assessed case difﬁculty, and completed a perception questionnaire.&#xd;
&#xd;
Results A total of 348 students participated in the real-life group and 342 in the MV group, with average teacher evaluation scores of 8.11 ± 1.15 and 7.97 ± 1.54, respectively, showing no signiﬁcant differences (p = 0.883). No signiﬁcant differences were found in peer evaluations or case difﬁculty assessments. Both groups reported positive experiences, with overall satisfaction scores out of 10 points being 7.91 ± 1.32 for RL and 7.54 ± 1.87 for the MV, without signiﬁcant differences (p = 0.073).&#xd;
&#xd;
Conclusions Problem-based learning activities in radiology can be effectively conducted in the MV, yielding academic results and experiential perceptions comparable to RL. The MV presents a viable alternative to face-to-face learning when in-person problem-based learning activities are impractical or challenging.</subfield>
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      <subfield code="a">Rudolphi-Solero T, Bajos-Ariza F, Lorenzo-Álvarez R, Domínguez-Pinos D, Ruiz-Gómez MJ, Sendra-Portero F. Problem-based learning in radiology achieves similar results in classroom and metaverse settings. Insights Imaging. 2025;16(1):121. Published 2025 Jun 12. doi:10.1186/s13244-025-01987-7</subfield>
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      <subfield code="a">https://hdl.handle.net/10630/39565</subfield>
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   <datafield ind1="8" ind2=" " tag="024">
      <subfield code="a">10.1186/s13244-025-01987-7</subfield>
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   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Realidad virtual</subfield>
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   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Enseñanza asistida por ordenador</subfield>
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      <subfield code="a">Innovaciones educativas</subfield>
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      <subfield code="a">Radiología médica - Estudio y enseñanza</subfield>
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      <subfield code="a">Problem-based learning in radiology achieves similar results in classroom and metaverse settings</subfield>
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