生成性AIに関する看護研究者の経験と認識:質的半構造面接研究
Ruifu Kang1, Zehui Xuan1, Ling Tong1
1School of Nursing, Capital Medical University, No.10 Xi-tou-tiao, You-an-men Wai, Feng-tai District, Beijing, 100069, China.
Journal of medical Internet research
|August 25, 2025
まとめ
介護士の研究者は ChatGPTのような 生成型人工知能 (AI) ツールを研究し AIとの共生的な旅を進めています この定性的な研究は,さまざまな経験,リスク,そして看護研究における AI 識字能力の強化の必要性を強調しています.
科学分野:
- 看護学 研究
- 人工知能
- 定性的な研究
背景:
- ChatGPTなどの生成型人工知能 (AI) ツールは看護師研究者の間で注目されています.
- AIの影響は他の分野でも研究されていますが 看護師の研究者の経験は未熟です
- この研究は,看護師の研究者の 生成性AIに対する認識を調査することで このギャップを埋めています
研究 の 目的:
- 中国の看護師研究者の経験と 生産性AIに対する認識を記述する.
- 人工知能の将来的な応用について 洞察を提供すること
- 科学的探求における 人間と機械の関係を 探求すること
主な方法:
- 27人の看護師の研究者との半構造面接を用いた定性研究
- 参加者は看護学部,大学院生,臨床看護師でした.
- 主なテーマを特定するためにインダクティブコンテンツ分析を使用して分析されたデータ.
主要な成果:
- 人と機械の共生,使用経験要因,研究パラダイムシフト,AIの応用リスク (制限,倫理),技術識字の共同改善など5つの主要なテーマが浮上した.
- 研究者は AI の支援と代替の可能性を指摘したが,学術的な整合性についても懸念を示した.
- 人工知能の知識向上と 人工知能によるコンテンツ検出ツールの必要性が指摘された.
結論:
- 看護師研究者と生成AIの相互作用は 複雑な"共生的な旅"です
- 発見はAIの調和のとれた共存と 看護における責任ある統合の基盤を提供する.
- 介護研究におけるAIを推進するための看護研究者,政策立案者,開発者向けの勧告.
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