在牙科教育中整合生成人工智能:对当前实践和建议的全面审查
Sergio E Uribe1,2,3, Ilze Maldupa1, Falk Schwendicke3
1Department of Conservative Dentistry and Oral Health, Riga Stradins University, Riga, Latvia.
概括
高等教育中正在出现生成人工智能 (GenAI) 准则,但牙科教育方面缺乏具体建议. 本次审查强调了共同的主题,并确定了为学术人员制定量身定制指导的机会.
科学领域:
- 牙科教育 牙科教育
- 人工智能的人工智能
- 高等教育政策 高等教育政策
背景情况:
- 生成性AI (GenAI) 工具为个性化学习和提高牙科教育中的临床推理提供了显著的潜力.
- 尽管GenAI的相关性越来越大,但其在牙科教育中使用的具体机构指导方针尚未建立.
研究的目的:
- 系统地识别,分析和总结来自大学和组织的现有GenAI指南.
- 专注于有关牙科教育学术人员的建议.
主要方法:
- 进行了全面的范围审查,搜索大学网站,学术搜索引擎和联系专家.
- 数据提取包括实施细节,人工智能工具和使用策略,随后进行主题分析.
主要成果:
- 分析了来自21所大学和3个组织的31份文件.
- 共同的主题包括教学中的应用,个性化学习,内容创作和批判性思维促进.
- 确定的主要挑战是学术完整性,道德使用,偏见和隐私问题.
结论:
- 现有的GenAI指南强调道德使用,透明度,学术诚信和安全.
- 缺乏牙科专用指南,为制定有针对性的建议提供了关键机会.
- 制定这种指导对于有效和负责任的GenAI在牙科教育中的整合至关重要.
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