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Health Literacy01:21

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Health literacy is an individual's or a community's capacity to comprehend, receive, read, and use relevant healthcare information and services. The World Health Organization (WHO, 2018) defines health literacy as the cognitive and social skills that determine the ability of individuals to gain access to, understand, and use information in ways that promote and maintain good health. As a result, the WHO helps individuals manage long-term health concerns, participate in preventative...
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The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
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A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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Updated: Jan 18, 2026

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ヘルスケア教育における誤解に基づく協調学習を支援するための大規模言語モデルの実装

Brandon C J Cheah1,2, Shefaly Shorey3, Jun Hong Ch'ng1

  • 1Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore, 117545, Singapore, 65 81503939.

JMIR medical education
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まとめ
この要約は機械生成です。

大規模言語モデル（LLM）は、ヘルスケア教育における誤解を生成し、協調学習と批判的思考を促進することができる。このフレームワークは、学生の概念変容を強化するためにAI生成された誤解を使用するための教育者向けガイドを提供する。

キーワード:
LLM協調学習ヘルスケア教育大規模言語モデル誤解に基づく学習反証テキスト

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科学分野:

  • 医学教育
  • ヘルスケアにおける人工知能
  • 教育テクノロジー

背景:

  • 誤解はしばしば学習に有害である。
  • 人工知能（AI）と大規模言語モデル（LLM）は、教育における新興技術である。
  • ヘルスケア教育におけるAIを使用した新しい教育学的アプローチを探求する必要がある。

研究 の 目的:

  • ヘルスケア教育におけるLLM生成誤解の使用のためのフレームワークを提案する。
  • AI生成誤解を協調学習に活用する方法を実証する。
  • ヘルスケア学生の概念変容と批判的思考を促進する。

主な方法:

  • LLM生成誤解の使用のためのフレームワークを開発する。
  • 臨床および基礎科学のヘルスケア分野にわたるユースケースを概説する。
  • フレームワークを実装するための教育者向けの10ステップガイドを提供する。

主要な成果:

  • 構造化されたピアディスカッションで使用された場合、LLM生成の誤解は概念変容を促進することができる。
  • このフレームワークは、教育者向けの実践的な実装ガイダンスを提供する。
  • AI支援学習の長期的な影響に関するさらなる研究の必要性が特定された。

結論:

  • 新しいフレームワークは、ヘルスケア教育者がAI技術を統合することを支援する。
  • LLM生成誤解は、協調学習のための貴重なツールとなり得る。
  • 学生の成果に対する影響を評価するためには、さらなる研究が必要である。