Catalysts of Change: Using AI To Lower the Activation Energy for Developing Gamified Learning Experiences in Health...

Area of Science:

• Health Professions Education
• Educational Technology
• Artificial Intelligence

Background:

• Designing gamified learning experiences requires significant time, resources, and expertise.
• Generative AI offers potential solutions to overcome these common barriers in education.
• Health professions education can benefit from innovative pedagogical approaches.

Purpose of the Study:

• To provide a practical guide for using generative AI in health professions education.
• To demonstrate how generative AI and prompt engineering can support gamified learning design and implementation.
• To explore AI's role in reducing the "activation energy" for creating educational games.

Main Methods:

• Review of gamified learning strategies relevant to health professions education.
• Illustration of generative AI and prompt engineering techniques for educational design.
• Discussion of practical applications and workflow efficiencies.

Main Results:

• Generative AI can significantly lower the barriers to creating gamified learning environments.
• Prompt engineering enables tailored AI-generated content for specific educational objectives.
• AI enhances creativity and speeds up the design process for educators.

Conclusions:

• Generative AI is a valuable tool for developing gamified learning in health professions education.
• Faculty oversight is crucial to ensure AI-generated content is accurate, relevant, and aligned with learning goals.
• Integrating AI can lead to more efficient and effective educational experiences.