人工智能会重塑或扭曲药学教育吗?
1Department of Basic Sciences, College of Medicine, Sulaiman Al-Rajhi University, Al-Bukayriyah, Saudi Arabia; Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Universiti Malaya, Kuala Lumpur, Malaysia.
Currents in pharmacy teaching & learning
|December 26, 2024
概括
药学教育中的人工智能 (AI) 提供了机遇和挑战. 将人工智能与传统方法相结合的平衡方法对于准备未来的药剂师而同时保持基本技能至关重要.
科学领域:
- 药房 教育 教育 药房 教育
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 人工智能 (AI) 整合到药学教育中,为转型提供了巨大的潜力.
- 然而,这种整合也带来了巨大的挑战,需要仔细考虑.
研究的目的:
- 分析AI对药学教育的潜在影响,检查它是否会重塑或扭曲该领域.
- 探索人工智能对个性化学习,理解,临床培训,跨专业教育和行政效率的影响.
主要方法:
- 对人工智能对药房教育关键方面影响的基于评论的分析.
- 识别好处,如适应性学习和简化流程.
- 识别风险,包括过度依赖,技能缩,道德问题和公平问题.
主要成果:
- 人工智能可以通过个性化的工具和模拟来增强学习体验.
- 潜在的缺点包括技能退化,道德困境和数字沟.
- 教师的准备和人文技能的保护是关键问题.
结论:
- 需要一个平衡的战略,以利用人工智能的好处,同时减轻药房教育中的风险.
- 关键策略包括课程整合,数字素养,教师发展和道德框架.
- 周到的实施将为学生准备人工智能驱动的医疗保健未来,并保持核心能力.
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