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教学法与生成式人工智能:将PICRAT模型应用于谷歌NotebookLM

Pedagogy and generative artificial intelligence: Applying the PICRAT model to Google NotebookLM.

作者信息

Mehta Neil, Agrawal Anoop, Benjamin Jennifer, Mehta Seysha, MacNeill Heather, Masters Ken

机构信息

Professor of Medicine and Associate Dean for Curricular Affairs, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.

Department of Medicine, Baylor College of Medicine, Houston, TX, USA.

出版信息

Med Teach. 2025 May;47(5):788-790. doi: 10.1080/0142159X.2024.2418937. Epub 2024 Oct 26.

Abstract

Healthcare educators (HPE) are challenged by rapid developments in Generative Artificial Intelligence (GenAI) tools. They need a standardized model to evaluate these new tools and to guide them in pedagogically-sound integration in the curriculum. PICRAT is an educational model designed specifically to help teachers meet this challenge. NotebookLM is a new multi-featured GenAI tool to help teachers and learners in education and research. Its newest feature allows automatic generation of an engaging podcast (called audio overview) from uploaded education or research content. Using the example of NotebookLM and, specifically, the auto-podcast feature, we illustrate how HPE can use the PICRAT model to evaluate GenAI tools for technology integration. We discuss how this model can be utilized as a standardized approach for evaluation and implementation of GenAI tools in health professions education.

摘要

医疗保健教育工作者(HPE)面临着生成式人工智能(GenAI)工具的快速发展带来的挑战。他们需要一个标准化模型来评估这些新工具,并指导他们在课程中进行符合教学原则的整合。PICRAT是一种专门设计的教育模型,旨在帮助教师应对这一挑战。NotebookLM是一种新型的多功能GenAI工具,可帮助教师和学习者进行教育和研究。其最新功能允许根据上传的教育或研究内容自动生成引人入胜的播客(称为音频概述)。我们以NotebookLM为例,特别是自动播客功能,来说明HPE如何使用PICRAT模型来评估用于技术整合的GenAI工具。我们讨论了如何将该模型用作在健康职业教育中评估和实施GenAI工具的标准化方法。

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