From notes to networks - A three-dimensional framework with integrated curation for using Google NotebookLM in health...

Area of Science:

• Medical Education
• Artificial Intelligence in Education

Background:

• Health professions educators face challenges in creating evidence-based, student-centered content due to time constraints and fragmented workflows.
• Existing content creation processes are often siloed, hindering collaboration and efficiency.

Purpose of the Study:

• To introduce a novel three-dimensional framework integrating AI for content creation, refinement, and collaboration in health professions education.
• To demonstrate the utility of Google NotebookLM as an AI-powered note-based assistant within this framework.

Main Methods:

• Utilized Google NotebookLM, a tool supporting multi-format input, interactive chat, and multimodal summaries.
• Developed a framework encompassing faculty-driven content creation, output repurposing, and collaborative use among faculty and students.
• Illustrated the framework's application through practical examples.

Main Results:

• Google NotebookLM was found to be accessible, efficient, and pedagogically flexible for educators and students.
• The AI-powered assistant facilitated content creation, refinement, and collaborative processes.
• The framework demonstrated a potential for AI to act as a collaborative thinking partner.

Conclusions:

• The proposed framework and AI-powered assistant offer a viable solution to enhance content creation in health professions education.
• Further research and development, including formal evaluation and training resources, are recommended for broader implementation.
• AI holds significant potential to transform pedagogical approaches and support educators in delivering high-quality, student-centered learning experiences.