培训需要医学教育中人工智能和生成人工智能的分析:教师和学生的观点
Lise McCoy1, Natarajan Ganesan2, Viswanathan Rajagopalan2
1Department of Academic Affairs, New York Institute of Technology College of Osteopathic Medicine (NYITCOM), Jonesboro, USA.
概括
学生比教师更熟悉生成性AI (GAI),尽管这两个群体都发现AI对医学教育有用. 两者都对人工智能可靠性表示担忧,教师表现出更大的担忧. 建议量身定制的人工智能培训计划.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 教育技术的教育技术
背景情况:
- 人工智能 (AI) 越来越多地融入医疗行业,需要了解它在医学教育中的作用.
- 研究人工智能工具的好处和挑战,包括生成人工智能 (GAI),对于有效的本科医学培训至关重要.
- 教师和学生对人工智能采用和培训需求的看法需要与信息教育策略进行比较.
研究的目的:
- 为了比较教师和学生在医学本科教育中使用生成性AI (GAI) 和其他AI工具的经验和观点.
- 评估AI学习者培训需求,重点关注教师和学生的知识,学习偏好和采用准备.
- 确定医学教师和学生之间熟悉度,使用模式和对人工智能工具的担忧的差异.
主要方法:
- 进行了一项在线横截面调查,以评估GAI的经验,人工智能使用,采用准备以及培训偏好.
- 该调查包括多选项,其中一些提供写入选项,并由68名教师和506名学生完成.
- 使用统计测试来确定教师和学生群体之间的GAI体验的显著差异.
主要成果:
- 与教师相比,学生对GAI的熟悉程度明显高 (P < .001),尽管经验水平和使用频率相似.
- 两组人都认为人工智能工具对学术,研究和临床应用有价值,超过一半的人将人工智能用于学术任务.
- 在两组中,对人工智能输出可靠性的担忧普遍存在,特别是在教师中更高;观察到不同的培训格式偏好.
结论:
- 结果突出了在医学教育中的学生和教师之间对AI的不同熟悉程度和共同的实用感知.
- 解决有关AI可靠性的担忧,并根据特定偏好 (教师的正式培训,学生的自我学习) 量身定制培训是必不可少的.
- 结果将指导教师和学生开发并行AI培训计划,强调实践技能和道德考虑.
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