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Precision Education and Coaching in the Professions: Translating Early Promise into Ethical, Equitable Implementation
Wed, April 8, 9:45 to 11:15am PDT (9:45 to 11:15am PDT), JW Marriott Los Angeles L.A. LIVE, Floor: 2nd Floor, Platinum DSession Type: Symposium
Abstract
This symposium examines how precision education and coaching enable personalized, data-informed guidance in professional learning. Precision education – delivering targeted educational interventions tailored to learners' specific contexts and needs – leverages data analytics, adaptive guidance, and AI-supported tools to optimize competency-based outcomes, enhance equity, and inform real-time decision-making. Presentations will explore diverse applications, including AI-integrated coaching models in veterinary team-based education, adaptive feedback mechanisms enhancing certification for family physicians, postphenomenological analyses of medical trainees' interactions with AI-driven diagnostic tools, and the iterative development of AI "virtual preceptors." A retrospective analysis highlights progress and gaps in precision education literature, prompting critical reflection on ethical considerations and the evolving roles of educators, preceptors, and learners in AI-enhanced educational relationships.
Sub Unit
Chairs
Papers
Utilizing AI with Community Coaching and Capacity Building to Improve Team-Based Learning Design and Readiness - Kadian McIntosh, University of Arizona; Jennifer Wishnie, University of Arizona; Jennifer Bouschor, University of Arizona; Laura Roberts, University of Arizona; Daniel Johnson, University of Arizona; Brisa Hsieh, University of Arizona; Stephanie Shaver, University of Arizona; Sallianne Schlacks, University of Arizona; Chris Hauser, University of Arizona; Zachary Boeder, University of Arizona; Holly Bender, University of Arizona; Patricia Beyers Pelzel, University of Arizona
Advancing Family Medicine Maintenance of Certification Through LLM Powered Adaptive Learning Feedback - Ting Wang, American Board of Family Medicine
Postphenomenological Insights into Trainee-AI Interaction: Reimagining the Promise of Precision Education - Ahreum Lim, Arizona State University; Nathaniel Kim, University of Arizona
Assessing the Assessor: Evaluating Feedback from an Open-Source “Virtual Preceptor” to Promote Critical Thinking - Kuan Xing, University of Iowa; Flávia Oliveira, Centro Universitário de Mineiros (UNIFIMES); Lukas Shum-Tim, McMaster University; Pooja Varman, Case Western Reserve University; Matthew Kaminsky, University of Chicago; Xiaomei Song, Case Western Reserve University; Brian Christopher Gin, University of Illinois at Chicago
Feedback and Coaching in MedEdPORTAL (2005–2025): Insights to Advance Assessment in Precision Medical Education - EunMi Park, HRDE; Gary J. Confessore, Human Resource Development Enterprises