探索牙科教师对人工智能在教育和实践中的整合意识,知识和态度:一种混合方法研究
Saeeda Abdullah1, Syeda Rabbab Hasan2, Muhammad Adil Asim3
1Shifa College of Dentistry, Shifa Tameer e Millat University, Islamabad, Pakistan.
BMC medical education
|May 12, 2025
概括
牙科教师表现出对人工智能 (AI) 的认识和积极态度,但对机器学习等先进AI概念的知识有限. 人工智能采用的障碍包括成本,培训差距和道德问题,需要有针对性的教育策略.
科学领域:
- 数字健康数字健康
- 医疗教育 技术 技术 医学教育
- 医疗保健中的人工智能
背景情况:
- 牙科正在越来越多地采用由人工智能 (AI) 进步推动的数字实践.
- 目前的牙科课程不充分整合了人工智能等新兴技术,影响了对现代牙科实践的准备.
- 这项研究评估了牙科学院的人工智能知识,意识和态度,以告知课程开发.
研究的目的:
- 评估牙科教师对人工智能 (AI) 的理解和看法.
- 确定人工智能在牙科教育和实践中的整合障碍和促进因素.
- 提出基于共识的建议,以加强牙科人工智能采用.
主要方法:
- 一种混合方法的方法,利用修改的通用态度对人工智能规模 (GAAIS) 和焦点小组讨论 (FGD).
- 在巴基斯坦的公立和私立牙科院校的400名教职员工中进行了调查.
- 使用SPSS分析了定量数据;从FGD获得的定性数据进行了专题分析.
主要成果:
- 大多数教师都意识到日常生活中的AI,主要从同事和社交媒体中学习.
- 只有不到20%的人认识到先进的AI术语,如机器学习和深度学习.
- 81%的人承认需要人工智能教育,总体态度是积极的 (平均得分3.5/5).
结论:
- 牙科系拥有一般AI意识和积极态度,但缺乏对先进AI概念的深入知识.
- 人工智能采用的主要障碍包括财务限制,人工智能培训不足以及数据管理/学术伦理问题.
- 针对性教育,跨学科合作,当地技术推广和政策倡议对于人工智能集成至关重要.
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