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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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

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

Summary

Healthcare educators can use the PICRAT model to evaluate Generative Artificial Intelligence (GenAI) tools for curriculum integration. This framework aids in assessing new technologies like NotebookLM

Keywords:

ChatGPT Generative AI Google NotebookLM PICRAT podcasts

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Area of Science:

Educational Technology
Artificial Intelligence in Education

Background:

Healthcare educators face challenges integrating rapidly evolving Generative Artificial Intelligence (GenAI) tools into curricula.
A standardized model is needed for evaluating GenAI tools and guiding their pedagogical integration.

Purpose of the Study:

To introduce and illustrate the PICRAT educational model for evaluating GenAI tools in health professions education.
To demonstrate how PICRAT can facilitate the standardized evaluation and integration of GenAI technologies.

Main Methods:

Utilized the PICRAT model as a framework for evaluating GenAI tools.
Employed NotebookLM, a GenAI tool with an auto-podcast feature, as a case study for evaluation.
Applied the model to assess the pedagogical soundness of GenAI tool integration.

Main Results:

The PICRAT model provides a structured approach for healthcare educators to evaluate GenAI tools.
NotebookLM's auto-podcast feature serves as a practical example for applying the PICRAT evaluation.

Conclusions:

The PICRAT model offers a standardized method for assessing and integrating GenAI tools in health professions education.
This approach supports informed decision-making for technology adoption in healthcare education.