From foundational concepts and ethical considerations to hands-on strategies for prompting, evaluating outputs, curriculum design, clinical education, and scholarly work, this series will equip participants with practical competencies for responsible and effective AI use. Led by experienced educators and thought leaders in medical education, each monthly session offers actionable insights and tools to help you integrate AI into your teaching, assessment, and professional development. Whether you're just getting started or looking to deepen your expertise, this series offers a supportive and structured path toward AI literacy and leadership.
How has the AI series impacted you?
Session 10: Continuous Professional Development in AI: Building a Lifelong Learning Plan
Thursday, February 19
1:00 - 2:00pm ET
AI in medical education is evolving—are you keeping up? In this final session of the series, you’ll assess your own AI knowledge, explore curated resources for continued growth, and create a personalized plan for lifelong learning. Reflect on how you’ve used AI so far and identify new areas to experiment and expand your practice. Stay curious, stay current, and lead the way in responsible AI integration.
Objectives:
- Assess personal AI knowledge gaps and develop a learning plan.
- Explore and share AI-related resources for ongoing professional growth.
- Reflect on AI use in medical education and identify areas for further experimentation.
Speakers:
- Stacey Pylman, PhD; Director of Continuing Medical Education and Educator Development, Michigan State University College of Human Medicine
- Anthony Gaynier, EdD; Clinical Faculty Learning Skills Specialist; Wayne State University School of Medicine
- Youngjin Cho, MS, PhD; Professor of Biochemistry and Molecular Biology; UGA School of Medicine
Previous Session Recordings
Session 1: Foundations of Skill-Building with Artificial Intelligence
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Session 2: Prompting for Educators: Effective Communication with AI
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Session 3: Evaluating AI Outputs: Ensuring Accuracy and Relevance
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Session 4: AI for Efficiency and Automation
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Session 5: Using AI with Data and Scholarship
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Session 6: Developing AI Enhanced Curricula
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Session 7: Personalizing Learning with AI
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Session 8: AI for Assessment and Evaluation in Medical Education
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