Training nursing skills in a generative artificial intelligence-enhanced virtual reality patient encounter simulation: a qualitative study from a student perspective.
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| Title: | Training nursing skills in a generative artificial intelligence-enhanced virtual reality patient encounter simulation: a qualitative study from a student perspective. |
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| Authors: | He, Hao1 (AUTHOR) haohephd@gmail.com, Xu, Xinhao2 (AUTHOR) xuxinhao@missouri.edu, Li, Shangman2 (AUTHOR) sli@missouri.edu, Bueno-Vesga, Jhon Alexander3 (AUTHOR) jmb9813@psu.edu, Duan, Yupei2 (AUTHOR) yupei.duan@missouri.edu, Gu, Yuanyuan2 (AUTHOR) yggcc@missouri.edu |
| Source: | International Journal of Educational Technology in Higher Education. 3/30/2026, Vol. 23 Issue 1, p1-28. 28p. |
| Subject Terms: | *Generative artificial intelligence, *Psychology of students, *Artificial intelligence, *Nursing education, *Clinical competence, Virtual reality, Medical technology, Simulated patients |
| Abstract: | Educators in nursing education have been exploring and applying various approaches to developing students' nursing skills. These approaches include lecturing, live demonstrations, role-playing, human standardized patients, virtual reality (VR) simulations, etc. However, the impact of integrating the recently emerging generative artificial intelligence (GenAI) technology into VR simulations on the development of students' nursing skills has not been fully explored due to its novelty and the constrained timeframe available for comprehensive research. This study examines nursing students' perceptions of the effectiveness of and learning experiences during a GenAI-enhanced VR patient encounter simulation in developing clinical skills. A total of 23 undergraduate nursing students participated in the study. Each of them had an individual interview with the researchers. Students reported positive learning experiences during the simulation. They believed that this type of simulated practice was effective. However, they also identified limitations in the current system, including technical issues and difficulty with empathy building. Implications of these findings are discussed. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Educational Technology in Higher Education is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 192596672 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Training nursing skills in a generative artificial intelligence-enhanced virtual reality patient encounter simulation: a qualitative study from a student perspective. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22He%2C+Hao%22">He, Hao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> haohephd@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Xu%2C+Xinhao%22">Xu, Xinhao</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> xuxinhao@missouri.edu</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Shangman%22">Li, Shangman</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> sli@missouri.edu</i><br /><searchLink fieldCode="AR" term="%22Bueno-Vesga%2C+Jhon+Alexander%22">Bueno-Vesga, Jhon Alexander</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> jmb9813@psu.edu</i><br /><searchLink fieldCode="AR" term="%22Duan%2C+Yupei%22">Duan, Yupei</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> yupei.duan@missouri.edu</i><br /><searchLink fieldCode="AR" term="%22Gu%2C+Yuanyuan%22">Gu, Yuanyuan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> yggcc@missouri.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Educational+Technology+in+Higher+Education%22">International Journal of Educational Technology in Higher Education</searchLink>. 3/30/2026, Vol. 23 Issue 1, p1-28. 28p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Psychology+of+students%22">Psychology of students</searchLink><br />*<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Nursing+education%22">Nursing education</searchLink><br />*<searchLink fieldCode="DE" term="%22Clinical+competence%22">Clinical competence</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+reality%22">Virtual reality</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+technology%22">Medical technology</searchLink><br /><searchLink fieldCode="DE" term="%22Simulated+patients%22">Simulated patients</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Educators in nursing education have been exploring and applying various approaches to developing students' nursing skills. These approaches include lecturing, live demonstrations, role-playing, human standardized patients, virtual reality (VR) simulations, etc. However, the impact of integrating the recently emerging generative artificial intelligence (GenAI) technology into VR simulations on the development of students' nursing skills has not been fully explored due to its novelty and the constrained timeframe available for comprehensive research. This study examines nursing students' perceptions of the effectiveness of and learning experiences during a GenAI-enhanced VR patient encounter simulation in developing clinical skills. A total of 23 undergraduate nursing students participated in the study. Each of them had an individual interview with the researchers. Students reported positive learning experiences during the simulation. They believed that this type of simulated practice was effective. However, they also identified limitations in the current system, including technical issues and difficulty with empathy building. Implications of these findings are discussed. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Educational Technology in Higher Education is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s41239-026-00587-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 1 Subjects: – SubjectFull: Generative artificial intelligence Type: general – SubjectFull: Psychology of students Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Nursing education Type: general – SubjectFull: Clinical competence Type: general – SubjectFull: Virtual reality Type: general – SubjectFull: Medical technology Type: general – SubjectFull: Simulated patients Type: general Titles: – TitleFull: Training nursing skills in a generative artificial intelligence-enhanced virtual reality patient encounter simulation: a qualitative study from a student perspective. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: He, Hao – PersonEntity: Name: NameFull: Xu, Xinhao – PersonEntity: Name: NameFull: Li, Shangman – PersonEntity: Name: NameFull: Bueno-Vesga, Jhon Alexander – PersonEntity: Name: NameFull: Duan, Yupei – PersonEntity: Name: NameFull: Gu, Yuanyuan IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 03 Text: 3/30/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 23659440 Numbering: – Type: volume Value: 23 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Educational Technology in Higher Education Type: main |
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