在药房教育中对人工智能的范围审查
May H Abdel Aziz1, Casey Rowe2, Robin Southwood3
1University of Texas at Tyler, Ben and Maytee Fisch College of Pharmacy, Department of Pharmaceutical Sciences and Health Outcomes, Tyler, TX, USA.
American journal of pharmaceutical education
|November 1, 2023
概括
药学教育中的人工智能 (AI) 正在出现,目前的研究重点是教学,学习和学术表现预测. 需要进一步调查,以解决诸如教师专业知识和更广泛的人工智能集成的伦理考虑等挑战.
科学领域:
- 药房 教育 教育 药房 教育
- 人工智能应用程序 人工智能应用程序
- 教育技术的教育技术
背景情况:
- 人工智能 (AI) 在高等教育中的整合正在迅速扩大.
- 药房教育正在探索人工智能的潜力,以增强学习和行政流程.
- 缺乏对当前人工智能应用和药学教育研究差距的全面了解.
研究的目的:
- 在药房教育中对人工智能的文献进行范围审查.
- 在药房课程和管理中识别和总结有关AI应用的现有研究.
- 确定需要进一步研究的领域,以推动AI在药房教育中的实施.
主要方法:
- 采用了一种系统的范围审查方法.
- 进行了文献搜索,以确定药房教育中的AI研究.
- 包括的研究被分析,以分类人工智能应用,并确定研究趋势.
主要成果:
- 七项研究专门针对药房教育中的人工智能.
- 五项研究专注于人工智能用于教学和学习.
- 一项研究研究了AI用于预测学业成绩,另一个研究了AI文本生成 (ChatGPT) 在药房教育中.
结论:
- 目前关于药学教育中的AI文献有限.
- 关键的挑战包括教师的专业知识,工具的概括性,结果数据和道德/法律问题.
- 标准化和更多的人工智能采用将为其整合到药房教育中创造未来的机会.
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