2025 Southern GEA/GSA/OSR Conference

The rapid advancement of artificial intelligence (AI) offers timely opportunities to enhance learner-centered instruction in medical education. AI fosters self-regulated learning skills during the pre-clerkship years to improve learning efficiency. As students adjust to medical school's pace, they often face challenges in foundational science courses due to ineffective learning strategies. Integrating AI tools, particularly Large Language Models (LLMs), can address these challenges by personalizing learning and promoting effective study habits. This workshop provides educators with strategies to incorporate AI, optimizing student performance and self-regulation. The session aligns with trends in instructional design and personalized learning.