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導入核心能力之虛擬實境系統應用於放射診斷技術教學

Translated title of the contribution: Application of a Virtual Reality System Incorporating Core Competencies in Radiographic Technology Education.

Research output: Contribution to journalArticlepeer-review

Abstract

This study utilized a Virtual Reality (VR) system with core capabilities in radiological diagnosis experiments and discussed the practical benefits of learning positioning techniques through Role Play Simulation (RPS) compared to using VR. The study invited 67 third-year students of Medical Imaging Technology and Radiological Technology (23 males and 44 females) to participate in the research during their free time. Anonymous questionnaires were given before and after using the systems, with questions related to core competencies in improving positioning techniques, and the results were statistically analyzed.
The study found that VR was most helpful in judging anatomical locations (4.9 points), understanding the quality of image acquisition (4.9 points), and improving radiation safety awareness (4.6 points). The lowest scoring items related to the use of VR in improving patient positioning techniques (4 points) and helping to select the correct images (4 points). The analysis showed that students were very satisfied with VR because they could practice anytime and anywhere, see the image results directly, and not worry about radiation exposure problems. However, RPS was considered more effective because it allowed students to touch patients directly, freely choose images, and locate body landmarks in a more realistic way, which VR cannot currently achieve.
Although VR cannot replace RPS, it can provide certain benefits that RPS cannot achieve in terms of radiation exposure, installation costs, substitutability, or learning effectiveness for core competencies. Using VR as an auxiliary learning tool can help improve students' learning motivation and performance.
Translated title of the contributionApplication of a Virtual Reality System Incorporating Core Competencies in Radiographic Technology Education.
Original languageChinese (Traditional)
Article number3
Pages (from-to)35-46
Number of pages12
JournalShu-Zen Journal
Volume1
Issue number20
Publication statusPublished - 1 Aug 2023
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • radiological diagnosis technology
  • virtual reality
  • core competencies

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