护理硕士研究生使用人工智能生成内容工具体验的质性研究

doi:10.3761/j.issn.1672-9234.2024.09.003

摘要/Abstract

摘要：

目的了解护理硕士研究生使用人工智能生成内容（Artificial Intelligence Generated Content，AIGC）工具的真实体验，探索相关驱动和阻碍因素，为提高研究生的数智素养提供参考。方法采用描述性质性研究方法，于2024年2月—4月对14名护理硕士研究生进行半结构式访谈，将访谈录音转录成文本，运用主题分析法对访谈资料进行分析。结果共提炼3个主题：对AIGC工具产生浓厚兴趣，使用AIGC工具的获益感，使用AIGC工具的顾虑。结论护理硕士研究生拥抱和接受AIGC工具在其科研中发挥辅助作用，在促进自主学习、提升学术写作水平等方面获益，但信息可靠性、可获得性、安全隐患等构成使用AIGC工具的障碍，这些结果为护理教育者构建人工智能时代背景下提升护理研究生数智素养的教育策略提供了参考。

关键词: 人工智能生成内容, 技术接受模型, 护理教育, 数智素养, 描述性质性研究

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

刘婷, 杨富国, 杨丽, 杨秀玲, 韩晶, 王爱敏. 护理硕士研究生使用人工智能生成内容工具体验的质性研究[J]. 中华护理教育, 2024, 21(9): 1046-1051.

LIU Ting, YANG Fuguo, YANG Li, YANG Xiuling, HAN Jing, WANG Aimin. A descriptive qualitative study on the experience of using artificial intelligence generated content tools among nursing postgraduate students[J]. Chinese Journal of Nursing Education, 2024, 21(9): 1046-1051.

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