Development of a Universal Prompt as a Scalable Generative AI-Assisted Tool for USMLE Step 1 Style Multiple-Choice...

Area of Science:

• Educational Technology
• Artificial Intelligence in Education

Background:

• Traditional methods for creating and refining multiple-choice questions can be time-consuming.
• Ensuring alignment between assessment items and learning objectives is crucial for effective pedagogy.

Purpose of the Study:

• To develop and evaluate a generative artificial intelligence (genAI)-assisted tool for creating and revising multiple-choice questions.
• To enhance the adaptability and accessibility of AI-driven educational tools.

Main Methods:

• Development of a custom GPT tool for generating and revising multiple-choice questions.
• Adaptation of the tool into a universal prompt for broader platform-agnostic access.
• Focus on aligning generated questions with specific learning objectives.

Main Results:

• The genAI tool effectively assists learners in receiving feedback, revising, and cloning multiple-choice questions.
• The universal prompt ensures equitable access across different platforms.
• The innovation demonstrates the adaptability of genAI for pedagogical enhancement.

Conclusions:

• Generative artificial intelligence offers a powerful and adaptable solution for improving educational assessment creation.
• Pedagogically driven AI tools can enhance learning experiences and promote equitable access to educational resources.