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介護学生とAIシステムのパフォーマンスを比較して,基本的生命維持と高度な心臓生命維持を解決する能力について,複数の選択試験の質問を比較します

Amer A Hasanien¹, Randa M Albusoul¹

¹Department of Clinical Nursing, The University of Jordan Queen Rania Street, Amman 11942, Jordan.

Nurse education in practice

|February 13, 2026

まとめ

Copilot,Gemini,ChatGPTのような人工知能 (AI) システムは,基本生命維持 (BLS) と先進心血管生命維持 (ACLS) 試験で優れたパフォーマンスを示し,多くの看護学生を上回っています. これらの高度なAIツールには,人間の監督が不可欠です.

科学分野:

医療教育テクノロジーテクノロジー
医療における人工知能
介護情報学介護情報学

背景:

AIシステムは,医療免許試験で高いパフォーマンスを示しています.
介護教育におけるAIの性能に関する研究は限られている.
AIの能力と看護学生の能力を比較した以前の研究はありませんでした.

研究の目的:

卒業看護学生のBLS/ACLS試験の成績をAIシステムと比較する.
3つのAIモデル (Gemini,ChatGPT,Copilot) を評価するために.

主な方法:

記述的な研究デザイン.
3年目と4年目の看護学生120人が参加しました.
BLS/ACLS試験の生徒のスコアと,AIによって生成されたスコアを比較した.

主要な成果:

学生の平均スコアは20.70/25.25でした.
AIシステムのスコア:ジェミニ (23/25),チャットGPT (21/25),コピロット (24/25).
コピロットは学生の86.7%,ジェミニは72.5%,チャットGPTは55.8%を上回った.

結論:

AIシステムは,卒業看護学生と比較して優れたパフォーマンスを発揮しています.
コピロットは,評価されたAIシステムの中で最高のパフォーマンスを示しました.
AIの能力にもかかわらず,専門家による人間の監督は依然として必要である.

キーワード:

先進的な心臓生命維持装置がサポートされています.人工知能 (AI) は,人工知能 (AI) を利用する.基本的生命維持装置は生命維持装置として機能しています.集中治療室では,重篤な介護を受けています.緊急医療の対応について試験試験について機械学習 (Machine Learning) とは,機械学習 (Machine Learning) というものです.

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