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Twelve tips on applying AI tools in HPE scholarship using Boyer's model
Jennifer Benjamin1,2, Ken Masters3, Anoop Agrawal4
1Department of Pediatrics, Huffington Department of Education Innovation and Technology, Baylor College of Medicine, Houston, TX, USA.
Medical Teacher
|January 10, 2025
Summary
Artificial intelligence (AI) offers powerful tools for health professions education. This guide provides practical tips for educators to integrate AI meaningfully into teaching and scholarship, emphasizing critical evaluation of AI outputs.
Area of Science:
- Health Professions Education
- Artificial Intelligence in Education
- Medical Education Technology
Background:
- The integration of Artificial Intelligence (AI) into health professions education necessitates a structured approach beyond initial hype.
- Educators require practical guidance on leveraging AI tools for daily teaching and learning activities.
- A pedagogical framework is essential for maximizing AI's potential in educational scholarship.
Purpose of the Study:
- To provide practical, actionable tips for educators on using AI in health professions education.
- To demonstrate how AI can be effectively applied to enhance teaching and learning.
- To guide the meaningful integration of AI towards scholarly activities in education.
Main Methods:
- The article proposes utilizing Boyer's model of scholarship as a pedagogical framework for AI integration.
- It offers practical solutions and demonstrates the utility of AI tools for educational purposes.
- The approach focuses on leveraging AI capabilities for teaching and learning scholarship.
Main Results:
- AI tools can be effectively applied to enhance daily teaching and learning in health professions education.
- Boyer's model provides a robust framework for maximizing AI's contribution to educational scholarship.
- Practical application demonstrates the usefulness of AI in advancing educational practices.
Conclusions:
- Educators should adopt a structured approach to AI integration, using Boyer's model for scholarship.
- Critical evaluation of AI outputs, including scrutiny for accuracy and hallucinations, is paramount.
- Responsible AI use and avoiding over-reliance are crucial for sustainable integration in education.
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