医療専門職教育における推奨システム: スコーピングレビューのためのプロトコル
PubMedで要約を見る
まとめ
この要約は機械生成です。このスコーピングレビューでは,健康職業教育 (HPE) の推奨者システムを検討しています. 教育者がこれらの精密な教育ツールを 効果的に使用できるようにするための 現在の文献をマッピングしています
科学分野
- 教育技術
- 医療専門職教育
- 推奨システム
背景
- 医療専門職教育 (HPE) の精密教育は,個々のニーズに合わせて学習します.
- パーソナライズされた学習の経路,コンテンツ,フィードバックを提供する.
- 豊富な学習資源は,効果的な選択のためのツールを必要とします.
研究 の 目的
- HPEの推奨システムに関する包括的な文献レビューを行う.
- 現状をマッピングし 研究のギャップと効果的な実践を特定します
主な方法
- アークシーとオマレーの枠組みに従って スコーピング・レビュー
- 大規模なデータベースと灰色の文献の検索 (2000-2025年)
- 報告のためのPRISMA-ScRガイドライン; データ管理のためのCovidence.
主要な成果
- 研究は結果の段階にあり,データ抽出は進行中です.
- 2025年の冬に完成し,原稿を提出する予定です.
結論
- このレビューは,HPEの推奨システムに関する包括的な概要を提供します.
- 学習成果を向上させるため,これらのシステムを統合する方法を教員に教えます.
関連する概念動画
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