An interventional study of Virtual reality in Virtual Reality, sponsored by National Taiwan University Hospital. Status unknown. Open to participants aged 18 Years to 28 Years. Per ClinicalTrials.gov, last updated 2024-07-15.
Sponsored by National Taiwan University Hospital · Not applicable, Interventional, and Other
The study aims to recruit 100 National Taiwan University 5th grade medical students who have completed a comprehensive basic anatomy course and are just entering surgical clinical rotations. Through a randomized controlled trial, educational training will be designed, and pre- and post-tests will be conducted to compare the effectiveness of learning advanced anatomy using the "Metaverse Virtual 3D Printing System" in virtual reality, versus the traditional method of "using flat diagrams to correlate with computed tomography scans." The study will assess the impact on learning outcomes, motivation, and learning experience in advanced anatomy education. We anticipate a well-structured learning model that bridges the gap between foundational and clinical medical courses.
Anatomy is an important component of medical education, especially during surgical clinical rotations. It is crucial for students to be able to correlate the knowledge from flat anatomical diagrams to medical images and actual three-dimensional structures. However, for students with limited experience, transforming unfamiliar anatomical structures from 2D to 3D can be challenging. In recent years, numerous studies have pointed out the significant benefits of using three-dimensional anatomical models in anatomy education. Furthermore, interactive educational tools have shown even greater advantages.
The metaverse is a collective virtual shared space created by the integration of the internet and the physical world. It offers substantial assistance in virtual reality and interactive learning. While repeatedly using physical 3D printing for different body parts can enhance the understanding of three-dimensional structures, it is costly and time-consuming. Thus, through the collaborative effort of National Taiwan University Hospital department of surgery and Graduate institute of networking and multimedia, National Taiwan University, the "Metaverse Virtual 3D Printing System" has been developed to allow medical students to use wearable devices for immersive learning of detailed, interactive anatomy in a virtual platform.
National Taiwan University Hospital is the lead sponsor of 2,609 studies on the registry; 574 are open to participants now.
Of its 11 completed or terminated interventional studies of FDA-regulated products, 2 (18%) have results posted.
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Exclusion Criteria:
Learning advanced anatomy using the traditional method of "using flat diagrams to correlate with computed tomography scans.
Learning advanced anatomy using the "Metaverse Virtual 3D Printing System" in virtual reality.
Other: Virtual reality
Through a randomized controlled trial, educational training will be designed, and pre- and post-tests will be conducted to compare the effectiveness of learning advanced anatomy using the "Metaverse Virtual 3D Printing System" in virtual reality, versus the traditional method of "using flat diagrams to correlate with computed tomography scans."
Questionnaire of Learning self-efficacy assessment
The results of questionnaires do not collect personal information. The values of the questionnaire scale do not indicate good or bad results.
Time frame: 1 year
Questionnaire of Motivated Strategies for Learning (MSLQ)
The results of questionnaires do not collect personal information. The values of the questionnaire scale do not indicate good or bad results.
Time frame: 1 year
Questionnaire of Technology Acceptance Model (TAM)
The results of questionnaires do not collect personal information. The values of the questionnaire scale do not indicate good or bad results.
Time frame: 1 year
Pre- and post-test learning tests
The results of tests will not affect academic performance.
Time frame: 1 year
No study locations are listed for this record.
This study is status unknown, as verified in May 2024. You cannot join it, but the record below documents what was studied.
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