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解读医学教育工作者对医疗教育中生成人工智能的看法.

Jorge Cervantes1, Blake Smith2, Tanya Ramadoss1

  • 1Dr. Kiran C. Patel College of Allopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, USA.

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概括

医学教育工作者对生成人工智能 (GenAI) 的看法是积极的,他们预计它对教学和学习的影响. 关键问题包括学术完整性和错误信息,需要明确的道德融合准则.

关键词:
在 GPT 中,GPT 必须是 GPT.生成型的人工智能 (GAI) 是一种人工智能.医学教育 医学教育

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科学领域:

  • 医学教育 医学教育
  • 人工智能的人工智能
  • 教育技术的教育技术

背景情况:

  • 生成性人工智能 (GenAI) 是一种变革性技术,对医学教育有重大影响.
  • 了解教师和学习者对GenAI的看法对于其有效整合至关重要.

研究的目的:

  • 评估医学教育工作者对生成AI (GenAI) 的看法.
  • 确定在医学教育中与GenAI相关的感知优势和担忧.
  • 探索GenAI对教学和学习的潜在影响.

主要方法:

  • 一项调查在2023年秋季分发给医学教育学院.
  • 该调查包括12个项目,涵盖了GenAI的作用,优势,担忧和可信度.
  • 从48名教职员工那里收集了答案.

主要成果:

  • 教师通常对GenAI及其教育影响持积极态度.
  • 常见的GenAI使用包括文本生成,任务自动化和多媒体创建.
  • 主要问题涉及学术不诚实,错误信息,缺乏背景和减少人与人之间的互动.
  • 教师承认需要GenAI指导方针,并认识到其改变其角色的潜力.

结论:

  • 医学教育工作者认识到GenAI的潜力,但强调了对其使用的重大担忧.
  • 解决窃,错误信息和隐私问题对于负责任的GenAI实施至关重要.
  • 制定机构和国家指导方针对于在医学教育中进行伦理和透明的GenAI整合至关重要.
  • 教师预计GenAI将积极影响学生的学习,强调需要谨慎的整合策略.