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 6: Developing AI-Enhanced Curricula
Thursday, October 16
1:00 - 2:00pm ET
Ready to reimagine curriculum design with AI? This session will guide you through using AI tools to create syllabi, learning objectives, and curriculum maps—while critically evaluating their effectiveness and ethical implications. Learn how to harness AI’s potential without compromising educational equity or fairness. Whether you're building a new course or refining an existing one, this session will give you the tools to innovate responsibly.
Objectives:
- Use AI tools to design curriculum components, including syllabi and learning objectives.
- Integrate AI-generated content into curriculum mapping.
- Evaluate the effectiveness of AI in curriculum development.
- Evaluate the impact of bias and automation on educational equity and fairness.
Speakers
Tonya Anderson, MAEd
Adjunct Professor and Curriculum Development Consultant
Wayne State University
Nancy L. Hayes, PhD
Associate Professor, Director of Clinical Foundations
Florida State University College of Medicine
Larry Hurtubise, MA, PhD
Curriculum and Instruction Consultant
Ohio State University Michael V. Drake Institute for Teaching and Learning
Chris Shaltry, PhD
Education, Technology, and Innovation Specialist
Michigan State University College of Human Medicine
Session 7: Personalizing Learning with AI
Thursday, November 20
1:00 - 2:00pm ET
Objectives:
- Develop personalized learning activities using AI tools.
- Explore AI applications for virtual simulations and intelligent tutoring.
- 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:
- Use AI to create assessments aligned with learning objectives.
- Analyze assessment results using AI tools to inform instruction.
- 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:
- Develop curriculum components on AI’s role in clinical settings.
- Evaluate the ethical and practical considerations of using AI in patient care.
- 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:
- 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.
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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