Related Experiment Video
Updated: Jun 28, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
Published on: December 23, 2025
The Avatar Advantage: AI-Powered Faculty Development to Enhance Feedback Delivery Skills
Kara Michalsen1, Tai Lockspeiser, Angela S Czaja
1Ms. Michalsen: Coordinator, Academy of Medical Educators, Office of Medical Education, University of Colorado School of Medicine, Aurora, CO. Dr. Lockspeiser: Associate Dean of Assessment, Evaluation, & Outcomes, Office of Medical Education; Professor, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO. Dr. Czaja: Professor & Director of Faculty Development, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO. Mr. Carlson: Senior Instructor & Director of Education Technology, Department of Psychiatry, University of Colorado School of Medicine, Aurora, CO. Dr. Bilyeu: Assistant Professor, Department Head, Physical Therapy, College of Rehabilitation Sciences, University of Manitoba, Winnipeg, Manitoba. Dr. Kiger: Associate Professor and Director of Medical Education REsearch & Scholarship, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO. Dr. Gardner: Associate Dean for Faculty Development, Office for Faculty; Director, Academy of Medical Educators, Office of Medical Education; Professor, Department of Surgery. University of Colorado School of Medicine, Aurora, CO.
Artificial intelligence (AI)-powered avatars provide reliable feedback delivery ratings in health professions education. These AI avatars are well-received and effective for professional development, offering a practical training solution.
Area of Science:
- Medical Education
- Artificial Intelligence in Healthcare
- Professional Development
Background:
- Effective feedback is crucial for health professions education and workplace assessment.
- Educators often lack formal training and evidence-based programs for delivering feedback.
- Experiential learning and real-time interaction are vital components often missing in current training.
Purpose of the Study:
- To evaluate the acceptability and reliability of feedback delivery ratings from AI-powered avatars.
- To compare AI avatar ratings with those provided by faculty and peer observers.
- To assess the utility of AI avatars in enhancing feedback delivery skills.
Main Methods:
- Participants engaged in feedback delivery scenarios using AI avatars after an interactive lecture.
- Feedback delivery was rated independently by participants, peers, and AI avatars using the DOCS-FBS scale.
- Data from multisource feedback ratings, surveys, and debriefs were statistically analyzed.
Main Results:
- Participants rated the training sessions highly, with 62% deeming them excellent.
- 82% found avatar-based feedback practice highly effective, with strong interest in future training.
- AI avatar feedback ratings were comparable to self-ratings and did not differ significantly.
Conclusions:
- AI-powered avatars offer reliable ratings for feedback delivery in training.
- These avatars are well-received by participants and present a pragmatic solution for professional development.
- Avatar-based training enhances feedback skills and engagement in health professions education.
Related Concept Videos
Impression Management Techniques IV: Altercasting
Impression Management Techniques III: Aligning Actions
Self-Evaluation: Self-Enhancement and Self-Verification
The Sense of Self: Reflected Self-Appraisal and Social Comparison