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    Webinar Series: AI Skill Building for Medical Educators

    Get ready to build your AI fluency with the GEA Artificial Intelligence Skill Building for Medical Educators Webinar Series—a dynamic, 10-session journey designed specifically for medical educators seeking to confidently engage with AI.

    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.

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    Session 1: Foundations of Skill-Building with Artificial Intelligence

    View the Recording | Access Slides

    Session 2: Prompting for Educators: Effective Communication with AI

    View the Recording | Access Slides

    Session 3: Evaluating AI Outputs: Ensuring Accuracy and Relevance

    View the Recording | Access Slides

    Session 4: AI for Efficiency and Automation

    View the Recording | Access Slides

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    Session 5: Using AI with Data and Scholarship

    Thursday, September 18
    1:00 - 2:00pm ET

    Discover how artificial intelligence can elevate your research and scholarship in medical education. This session will explore AI tools for analyzing data, streamlining literature reviews, enhancing academic writing, and visualizing findings. You’ll also learn how to navigate ethical considerations and ensure transparency and attribution in AI-assisted work. Whether you're new to AI or ready to expand your scholarly toolkit, this session offers practical strategies to advance your research with confidence

    Objectives:

    1.  Explore AI tools for analyzing and interpreting educational and research data.
    2. Use AI to streamline literature reviews, data visualization, and academic writing.
    3. Recognize ethical considerations when using AI for research and scholarly work.
    4. Practice transparency and attribution for AI contributions in their work.

    Presenters

    Tonya Anderson, MAEd
    Adjunct Professor and Curriculum Development Consultant
    Wayne State University

    Heather Billings, PhD, MA
    Assistant Professor of Medical Education, Director, Faculty Development 
    Mayo Clinic College of Medicine and Science

    Brian Gin, MD, PhD
    Associate Professor of Medical Education and Pediatrics
    University of Illinois College of Medicine

    LaTeesa James, MLIS
    Health Sciences Informationist
    University of Michigan Library

    Melinda Turner, EdD
    Director of Faculty Development
    Lincoln Memorial University DeBusk College of Osteopathic Medicine

    Session 6: Developing AI-Enhanced Curricula

    Thursday, October 16
    1:00 - 2:00pm ET

    Objectives:

    1. Use AI tools to design curriculum components, including syllabi and learning objectives.
    2. Integrate AI-generated content into curriculum mapping.
    3. Evaluate the effectiveness of AI in curriculum development.
    4. Evaluate the impact of bias and automation on educational equity and fairness.

    Session 7: Personalizing Learning with AI

    Thursday, November 20
    1:00 - 2:00pm ET

    Objectives:

    1.  Develop personalized learning activities using AI tools.
    2. Explore AI applications for virtual simulations and intelligent tutoring.
    3. Assess the effectiveness of AI-driven personalized learning solutions.

    Session 8: AI for Assessment and Evaluation in Medical Education

    Thursday, December 18
    1:00 - 2:00pm ET

    Objectives:

    1. Use AI to create assessments aligned with learning objectives.
    2. Analyze assessment results using AI tools to inform instruction.
    3. Explore AI applications for evaluating narrative data such as SOAP notes.

    Session 9: Preparing for AI Integration in Clinical Education

    Thursday, January 15
    1:00 - 2:00pm ET

    Objectives:

    1. Develop curriculum components on AI’s role in clinical settings.
    2. Evaluate the ethical and practical considerations of using AI in patient care.
    3. Create educational resources to explain AI applications to students.

    Session 10: Continuous Professional Development in AI: Building a Lifelong Learning Plan

    Thursday, February 19
    1:00 - 2:00pm ET

    Objectives:

    1. Assess personal AI knowledge gaps and develop a learning plan.
    2. Explore and share AI-related resources for ongoing professional growth.
    3. Reflect on AI use in medical education and identify areas for further experimentation.

    Register for the Series