人工智能时代的医学教育学习专家
Helen Hu1, Dechantria D Wallace2, Beatrice Boateng3
1Center for Excellence in Teaching and Learning, University of Arkansas Pulaski Technical College, North Little Rock, USA.
Cureus
|August 22, 2025
概括
人工智能不会取代医学教育专家, 专家需要培训以整合人工智能以提供个性化的学生支持和改进学习体验.
科学领域:
- 医疗保健教育
- 人工智能
- 学术支持
背景情况:
- 生成型人工智能 (AI) 正在越来越多地影响教育方法.
- 医学教育学习专家寻求有效的策略来支持学生的学习和学习习惯.
- 了解人工智能对学术支持角色的影响对于发展教育实践至关重要.
研究的目的:
- 调查学习专家对生成人工智能对其角色的影响的观点.
- 探索人工智能如何影响学习专家和医疗教育学生之间的互动.
- 确定AI整合在学术支持中的感知好处和挑战.
主要方法:
- 与医学教育学习专家 (MELS) 特别兴趣小组进行了一项全国性在线调查.
- 来自美国29个州的61名学习专家参加了这次活动.
- 收集了他们对人工智能在医疗教育中的看法.
主要成果:
- 尽管人工智能取得了进步,但学习专家认为他们的角色仍然是有价值和不可替代的.
- 需要有针对性的培训来有效地将人工智能整合到学术支持服务中.
- 专家认为人工智能在个性化医疗教育和提高学生学习体验方面具有重要意义.
结论:
- 创造性人工智能有望在医疗教育中增强个性化学习和学习策略.
- 人工智能工具可以帮助学习专家提供更有针对性,更有效的学生支持.
- 医疗教育的不断发展需要整合人工智能以满足独特的学生需求.
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