教学和生成性人工智能:将PICRAT模型应用于谷歌笔记本LMLM
Neil Mehta1, Anoop Agrawal2, Jennifer Benjamin3
1Professor of Medicine and Associate Dean for Curricular Affairs, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.
Medical teacher
|October 26, 2024
概括
医疗保健教育工作者可以使用PICRAT模型来评估用于课程整合的生成人工智能 (GenAI) 工具. 这一框架有助于评估像笔记本LM这样的新技术.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
背景情况:
- 医疗保健教育工作者面临的挑战是将快速发展的生成人工智能 (GenAI) 工具整合到课程中.
- 需要一个标准化的模型来评估GenAI工具并指导它们的教学整合.
研究的目的:
- 介绍和说明PICRAT教育模型,用于在卫生专业教育中评估GenAI工具.
- 展示PICRAT如何促进GenAI技术的标准化评估和整合.
主要方法:
- 使用PICRAT模型作为评估GenAI工具的框架.
- 使用NotebookLM,一个具有自动播客功能的GenAI工具,作为评估的案例研究.
- 应用该模型来评估GenAI工具集成的教学健全性.
主要成果:
- 皮克拉特模型为医疗保健教育工作者提供了一种结构化的方法来评估GenAI工具.
- 笔记本LM的自动播客功能是应用PICRAT评估的实际例子.
结论:
- 皮克拉特模型为评估和整合GenAI工具在卫生专业教育中的标准化方法提供了标准化方法.
- 这种方法支持在医疗保健教育中采用技术的知情决策.
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