創発性人工知能 (GenAI) の本科生看護学生の間で使用される信頼性と学術的整合性
Chiew-Jiat Rosalind Siah1, Junwei Vincent Lim1, Meng Meng Lyu2
1National University of Singapore, Singapore.
まとめ
高等教育における生成型人工知能 (GenAI) は,倫理的な課題を提示し,学生の学習に影響を及ぼします. GenAIがオリジナルの学術的研究を代替するのではなく,増強することを保証するために,明確なガイドラインが必要です.
科学分野:
- 高等教育の教育学
- 教育技術の統合 教育技術の統合
- デジタル時代の学術的誠実さ
背景:
- 生成型人工知能 (GenAI) は,高等教育の学習体験を変革しています.
- GenAIは,教育的な利点を提供しながら,倫理的な懸念や,学生の自己評価とエンゲージメントに与える潜在的な影響を紹介しています.
- GenAIと学生の相互作用を理解することは,学術界におけるその役割をナビゲートするために不可欠です.
研究 の 目的:
- GenAIで大学院看護学生の経験を調査する.
- GenAIに対する学生の認識を調査し,学術的な誠実さや仕事の信頼性について調べる.
- 学術環境におけるGenAIの許容可能な使用に関する学生の意識と態度を評価する.
主な方法:
- 質的記述的研究設計. 質的記述的研究設計.
- 大学生の看護学生とのグループインタビュー.
- 2024年10月から2025年1月までの間に収集されたデータです.
主要な成果:
- 分析から5つの主要なテーマが浮上した:学習との統合,GenAI情報への信頼,倫理的考慮,学術的な誠実さ,GenAIの使用に関するガイドライン.
- 学生は,GenAIが彼らの学習プロセスにどのように統合されているかを議論しました.
- GenAIのアウトプットの信頼性と倫理的な意味合いについては,重大な懸念がありました.
結論:
- 自律学習と活動管理におけるGenAIの役割のさらなる理解は不可欠です.
- 教育者がGenAIの使用を指示するために,明確な制度的ガイドラインが必要である.
- GenAIは,学術的な誠実さを維持するために,学生のオリジナルの仕事を置き換えるのではなく,強化するツールとして位置付けられるべきです.
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