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Advancing Interactive Medical Education of Anatomy Via the Metaverse Virtual 3D Printing Platform

Not Applicable
Not yet recruiting
Conditions
Virtual Reality
Interventions
Other: Virtual reality
Registration Number
NCT06456398
Lead Sponsor
National Taiwan University Hospital
Brief Summary

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.

Detailed Description

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.

Recruitment & Eligibility

Status
NOT_YET_RECRUITING
Sex
All
Target Recruitment
100
Inclusion Criteria
  • Over 18 years old studying in the Department of Medicine at National Taiwan University
  • Completed a full one-year anatomy lecture course and gross anatomy internship in the third year at the Department of Medicine, National Taiwan University.
  • Students who have not yet received a complete clinical internship in thoracic surgery.
  • Recruit willing subject medical students during their internship in thoracic surgery
Exclusion Criteria
  • Cybersickness
  • Person who is sensitive to light stimulation

Study & Design

Study Type
INTERVENTIONAL
Study Design
CROSSOVER
Arm && Interventions
GroupInterventionDescription
3D (Metaverse Virtual 3D Printing System)Virtual realityLearning advanced anatomy using the "Metaverse Virtual 3D Printing System" in virtual reality.
Primary Outcome Measures
NameTimeMethod
Questionnaire of Learning self-efficacy assessment1 year

The results of questionnaires do not collect personal information. The values of the questionnaire scale do not indicate good or bad results.

Questionnaire of Motivated Strategies for Learning (MSLQ)1 year

The results of questionnaires do not collect personal information. The values of the questionnaire scale do not indicate good or bad results.

Questionnaire of Technology Acceptance Model (TAM)1 year

The results of questionnaires do not collect personal information. The values of the questionnaire scale do not indicate good or bad results.

Pre- and post-test learning tests1 year

The results of tests will not affect academic performance.

Secondary Outcome Measures
NameTimeMethod
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