Tyler Bland, PhD
Clinical Assistant Professor, WWAMI Medical Education, Pharmacology

Abstract: The rapid advancement of generative artificial intelligence (genAI) presents a unique opportunity to enhance medical education by providing adaptive, personalized learning experiences. We propose the integration of genAI-powered intelligent tutors into the Medimon digital learning platform, specifically within the module that covers the material found in the Muscles, Joints, Bone, and Skin (MJBS) block of the UWSOM Foundations. Utilizing the DeepSeek-R1-Distilled-Llama-70B via GroqCloud API, complemented by a retrieval-augmented generation (RAG) system tailored to block-specific learning objectives, we will enable interactive, inquiry-based learning. First-year medical students in the MJBS block will engage with these AI tutors for self regulated learning throughout the block duration. We will analyze interaction logs to assess accuracy, engagement, and identify learning gaps and question patterns. At block conclusion, the Situational Interest Survey for Multimedia (SIS-M) will measure student engagement and interest. Anticipated outcomes include enhanced learning personalization, improved content relevance based on student inquiry patterns, and positive student attitudes towards genAI enhanced medical education.

Date & Time:
Thursday, May 7, 2026
2:00pm – 3:00pm  (PT), 1:00pm-2:00pm (AKST), 3:00pm-4:00pm (MST)

Location: Zoom (Link will be in registration email)

Registration: https://forms.office.com/r/vg70NDpsQn