ISSN 2097-6054（网络） ISSN 1672-9234（印刷） CN 11-5289/R
主管：中国科学技术协会　主办：中华护理学会
出版：中华护理杂志社
收录：中国科学引文数据库（CSCD）来源期刊
　　　中国期刊全文数据库
　　　中国核心期刊（遴选）数据库
　　　Scopus
中华护理教育

中华护理教育 ›› 2020, Vol. 17 ›› Issue (2): 152-155.doi: 10.3761/j.issn.1672-9234.2020.02.012

• 继续教育 • 上一篇    下一篇

虚拟现实联合智慧教学工具在神经外科护士影像学培训中的应用

荆晓雷,张理想,顾大群,陈小利,李娟,庄红霞()   

  1. 230001 合肥市 中国科技大学附属第一医院
  • 收稿日期:2019-08-20 出版日期:2020-02-20 发布日期:2020-03-06
  • 通讯作者: 庄红霞
  • 作者简介:荆晓雷：男,本科,护师,E-mail：978173690@qq.com

The application of the virtual reality technology with intelligence teaching tools in imaging training of neurosurgical nurses

JING Xiao-lei,ZHANG Li-xiang,GU Da-qun,CHEN Xiao-li,LI Juan,ZHUANG Hong-xia()   

  • Received:2019-08-20 Online:2020-02-20 Published:2020-03-06
  • Contact: Hong-xia ZHUANG

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摘要：

目的 探讨虚拟现实（virtual reality,VR）联合智慧教学工具教学在神经外科护士影像学培训中的应用效果。方法 便利选取我院神经外科60名护士为研究对象,应用VR联合智慧教学工具对其进行为期8周的神经外科影像学理论培训,随后进行14周的晨间读片。通过理论考核及培训前后读片实例分析对应用效果进行评价,并应用神经外科影像学核心能力问卷及护士满意度问卷进行调查。结果 通过VR联合智慧教学工具培训后护士考核成绩为（91.26±3.13）分。培训后护士读片实例分析及自评神经外科影像学核心能力评分均高于培训前（P<0.05）。VR联合智慧教学工具教学满意度总评分为（18.52±1.36）分。结论 VR联合智慧教学工具应用于神经外科护士读片中巩固了教学质量及效果,同时也提升了护士的影像学读片水平,得到了护士的认可,值得进一步推广。

关键词: 在职培训, 放射摄影术, 虚拟系统, 混合式教学

Abstract:

Objective To explore the effects of virtual reality（VR） with intelligence teaching tools in imaging training of neurosurgical nurses. Methods A total of 60 nurses were selected by convenience sampling. A 8-week imaging training program with VR and intelligence teaching tools was carried out. Then a 14-week imageology interpretation was conducted. The training effects were evaluated through theory examination and actual imageology interpretation. Besides，nurses was investigated by the neurosurgical imaging core competence questionnaire and nurse satisfaction questionnaire. Results The mean score of theory examination was 91.26±3.13. After the training，the nurses’ ability of imageology interpretation and score of neurosurgical imaging core competence were higher than those before the training（P<0.05）. The total satisfaction score with the VR and intelligence teaching tools was 18.52±1.36. Conclusion The VR with intelligence teaching tools can consolidate the teaching quality and improve the accuracy level of imageology interpretation. The training method has been accepted by nurses and is worthy of further promotion.

Key words: Inservice Training, Radiography, Virtual Systems, Blended teaching