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 ›› 2024, Vol. 21 ›› Issue (9): 1046-1051.doi: 10.3761/j.issn.1672-9234.2024.09.003

• Digitization and Intelligence Development of Nursing Education • Previous Articles     Next Articles

A descriptive qualitative study on the experience of using artificial intelligence generated content tools among nursing postgraduate students

LIU Ting(),YANG Fuguo,YANG Li,YANG Xiuling,HAN Jing,WANG Aimin()   

  • Received:2024-04-16 Online:2024-09-15 Published:2024-09-20

Abstract:

Objective To investigate the real experience of using artificial intelligence generated content(AIGC) tools among nursing postgraduate students and explore related driving and hindering factors,so as to provide implications for improving their digital literacy. Methods Using descriptive qualitative research design,a semi-structured interview was conducted on 14 nursing postgraduate students from February to April 2024. The interview audios were transcribed verbatim into text,and the interview data was analyzed through thematic analysis. Results Three themes were extracted:strong interest in AIGC tools,perceived benefits of using AIGC tools, and concerns about using AIGC tools. Conclusion Nursing postgraduate students embrace and accept the auxiliary role of AIGC tools in their research,which benefits them in promoting self-directed learning and improving academic writing. However,information reliability,accessibility,and security risks are obstacles in using AIGC tools. These results provide implications for nursing educators to develop educational strategies to enhance their digital literacy in the context of the artificial intelligence era.

Key words: Artificial intelligence generated content, The technology acceptance model, Nursing education, Digital literacy, Descriptive qualitative research