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

ChatGPT Generative AI Google NotebookLM PICRAT podcasts

Journal

Medical teacher
ISSN: 1466-187X
Titre abrégé: Med Teach
Pays: England
ID NLM: 7909593

Informations de publication

Date de publication:
26 Oct 2024
Historique:
medline: 26 10 2024
pubmed: 26 10 2024
entrez: 26 10 2024
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 39460933
doi: 10.1080/0142159X.2024.2418937
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-3

Auteurs

Neil Mehta (N)

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

Anoop Agrawal (A)

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

Jennifer Benjamin (J)

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

Seysha Mehta (S)

Class of 2027, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.

Heather MacNeill (H)

Associate Professor, University of Toronto and Toronto Metropolitan University, Toronto, Canada.

Ken Masters (K)

Associate Professor of Medical Informatics, College of Medicine and Health Sciences, Sultan Qaboos University, Oman.

Classifications MeSH