Uniting Generative AI and Metacognitive Skills to Guide Self-Directed Learning in Anatomy Education

Provided by University of Connecticut School of Medicine Office of Community and Continuing Medical Education and the Department of Undergraduate Medical Education Curricular Affairs.
 
Speaker: Claire Stoudemire, PhD
Date: Thursday, May 21, 2026
Time: 12:00 - 1:00pm
Location: Classroom A8 (or attend virtually on Microsoft Teams)
Meeting ID: 234 227 720 432 113
Passcode: Ev226qC7
 
Session Attendance Code: PEXDOS
 
Session Description: This session explores how generative AI can be intentionally integrated with metacognitive learning strategies to support self‑directed learning in anatomy education. Participants will examine ethical considerations, pedagogical applications, and practical frameworks for prompt engineering and AI output evaluation and will leave with concrete strategies and resources to more effectively and responsibly leverage AI in anatomy teaching and learning.
 
Session Learning Objectives:  Participants will (be able to):
  1. Discuss the ethical considerations, risks, and limitations of AI use in anatomy education.
  2. Discuss the intersection of metacognition, AI literacy, and critical appraisal and its potential to support the developing master adaptive, lifelong learner.
  3. Apply knowledge of AI function and pedagogical strategies to implement strategies related to prompt engineering and output evaluation in the context of self-directed learning.
Speaker Disclosure Statement: Dr. Claire Stoudemire, in their role as [speaker] for this educational event, has no relevant financial relationship(s) with any ineligible companies that could be perceived as a real or apparent conflict of interest in the context of the subject of this presentation that need to be disclosed. There are no relevant financial relationships listed for this individual to be mitigated.

Speaker Off-label Statement: Dr. Claire Stoudemire will not be discussing the off-labeled, or investigational use of any product or device.

Target Audience:  Faculty, staff, and trainees at the UConn Health, School of Medicine.

Accreditation: The University of Connecticut School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. The University of Connecticut School of Medicine designates this live activity for a maximum of _ 1 _ AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Conflict of Interest Policy: All faculty members participating in CME activities provided by the University of Connecticut School of Medicine are required to disclose to the program audience any actual or apparent conflict of interest related to the content of their presentations. Program planners have an obligation to resolve any actual conflicts of interest and share with the audience any safeguards put in place to prevent commercial bias from influencing the content.

Activity Director & Planning Committee Disclosure Statement: Neither the activity director, the activity administrator, nor the planning committee members in their role as planning committee members for this educational event, has no relevant financial relationship(s) with any ineligible companies that could be perceived as a real or apparent conflict of interest in the context of the subject of this presentation that need to be disclosed. There are no relevant financial relationships listed for this individual to be mitigated.

Commercial Support Statement: This CME activity has no commercial support associated with it.

 

Session date: 
05/21/2026 - 12:00pm to 1:00pm EDT
Location: 
UConn Health
263 Famington Ave
Farmington, CT 06030
United States
See map: Google Maps
Add to calendar: 
  • 1.00 AMA PRA Category 1 Credit™
  • 1.00 Participation
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