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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.

    Register for the Series

    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

    Register for the Series

    Session 3: Evaluating AI Outputs: Ensuring Accuracy and Relevance

    Thursday, July 17
    1:00 - 2:00pm ET

    Not all AI-generated content is created equal—and in medical education, accuracy is everything. In this high-impact session, you’ll learn how to separate fact from fiction, spot misleading AI “hallucinations,” and ensure the content you use or share is credible, relevant, and aligned with your teaching goals. Whether you're just starting with AI or looking to sharpen your evaluation skills, this session will give you the edge you need to use AI responsibly and effectively.

    Objectives:

    1. Analyze AI outputs to determine alignment with educational goals.
    2. Check AI outputs for accuracy, correctness, and relevance against credible sources.
    3. Triangulate results across multiple AI tools.
    4. Recognize ethical risks such as AI-generated misinformation and biased content.

    Presenters

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

    John Lowry, PhD
    Associate Professor and Director of Faculty Development
    Central Michigan University

    Cassidy Punt, PA-C
    Assistant Professor of PA Studies
    Rocky Vista University

    Chris Shaltry, PhD
    Education, Technology, and Innovation Specialist
    Michigan State University College of Human Medicine

    Session 4: AI for Efficiency and Automation

    Thursday, August 21
    1:00 - 2:00pm ET

    Objectives:

    1. Identify AI tools that can streamline administrative and teaching tasks in medical education.
    2. Automate repetitive processes using AI for scheduling, document summarization, and data organization.
    3. Evaluate the effectiveness and ethical implications of AI-driven automation in education.

    Session 5: Using AI with Data and Scholarship

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

    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.

    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