ISSN 1672-9234 CN 11-5289/R
Responsible Institution:China Association for Science and Technology
Publishing:Chinese Nursing Journals Publishing House Co.,Ltd.
Sponsor:Chinese Nursing Association
Source journal for Chinese Science Citation Database
China Academic Journals Full-text Database
China Core Journal Alternative Database
Chinese Science and Technical Journal Database

Chinese Journal of Nursing Education ›› 2020, Vol. 17 ›› Issue (2): 152-155.doi: 10.3761/j.issn.1672-9234.2020.02.012

• Continuing Education • Previous Articles     Next Articles

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 E-mail:571197056@qq.com

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