ナイジェリアのコギ州ロコジャの高等学校で,知識管理の実践が人工知能に関する図書館員の能力に及ぼす影響
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PubMedで要約を見る
まとめ
この要約は機械生成です。知識管理実践 (KMP) は,図書館員の人工知能 (AI) の能力を大幅に高めています. しかし,技術的な問題や訓練の欠如などの課題は,ナイジェリアの学術図書館にAIを効果的に統合することを妨げています.
科学分野
- 図書館と情報科学
- 人工知能
- 知識管理
背景
- 人工知能 (AI) を図書館サービスに統合することで,図書館員にとって新たな能力が求められます.
- 知識管理実践 (KMP) は,これらのAI能力を開発するために不可欠です.
- ナイジェリアのロコジャの図書館員は,KMPの効果的な採用を妨げる課題に直面し,スキルのギャップにつながっています.
研究 の 目的
- 図書館員の知識管理実践 (KMP) と人工知能 (AI) 能力の関係を調査する.
- 図書館員がAI統合の KMP を採用する際に直面する主要な課題を特定する.
- 改善されたKMPを通じてAIの能力を高めるための勧告を提供すること.
主な方法
- ナイジェリアのロコジャで28人のプロの図書館員を採取した数値調査のデザインが採用されました.
- KMP,AIの能力,課題に関する構造化されたアンケートを使用してデータを収集しました.
- 記述的統計と複数の回帰分析はSPSS v. 25を用いて行われました.
主要な成果
- 知識共有 (100%),デジタルリポジトリ (92%) および分類開発 (82%) が最も一般的なKMPでした.
- KMPとAIの能力の間に有意なポジティブな関係 (R=0.78,R2=0.61) が存在し,知識共有が最も強い予測因子である (β=0.41).
- 主な課題は,技術的な問題 (平均=3.00),訓練の欠如 (2.89),経営陣からの支援の不足 (2.89) でした.
結論
- KMPは,AIによって生成された情報を管理し,ユーザーをサポートする図書館員の能力を大幅に高めます.
- 機械学習や自然言語処理などの技術的なAI分野における専門的なトレーニングの必要性が確認されました.
- KMPによるAI統合に成功するためには,インフラ,専門的な開発,リーダーシップサポートへの投資が不可欠です.
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