Problem-based learning in radiology achieves similar results in classroom and metaverse settings

Loading...
Thumbnail Image

Files

2025 Insights Imaging.pdf (1.63 MB)

Description: Artículo principal

Supplementary material.pdf (210.08 KB)

Description: Supplementary material

Identifiers

Publication date

Reading date

Collaborators

Advisors

Tutors

Editors

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Metrics

Google Scholar

Share

Research Projects

Organizational Units

Journal Issue

Abstract

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. 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. 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). 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.

Description

Bibliographic citation

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

Collections

Endorsement

Review

Supplemented By

Referenced by