Designing engaging scenario-based learning experiences with AI: Case Studies, Role-plays, and Simulations ***Walk-ins Welcome*** In-Person / Online
Scenario-based learning through case studies, role-plays, and simulations can spark deep engagement and help students apply their knowledge to realistic contexts. These approaches also strengthen critical skills such as problem-solving, decision-making, collaboration, communication, and the ability to analyze complex, ambiguous situations.
In this hands-on workshop, you’ll learn how to use generative AI tools to design compelling, discipline-specific scenarios that align with your learning objectives and assessment criteria. We’ll explore strategies for creating and adapting case studies, role-plays, and simulations for different levels, class sizes, and delivery formats. You’ll also learn how to revise AI-generated scenarios to ensure clarity, inclusivity, and cultural sensitivity, as well as how to create supporting materials like discussion questions, debrief prompts, and branching decision points. By the end of the session, you’ll leave with practical prompt templates, real-world examples, and the skills to make AI a creative partner in your scenario-based learning design.
Upon completion of this learning experience, participants will be able to:
- identify characteristics of high-quality case studies, role plays, and simulations for instructional use
- describe how generative AI can support the creation of case studies, role plays, and simulations in higher education
- use AI to create realistic, discipline-specific scenarios that align with defined learning objectives and assessment criteria
- use AI to generate scenarios that promote higher-order thinking skills (analysis, evaluation, creation)
- generate character profiles, scripts, and branching decision points for role plays and simulations that encourage higher-order thinking and problem-solving
- develop multiple versions of scenarios to provide choice, support differentiated learning, or minimize opportunities for academic dishonesty
- reflect on how AI can support continuous innovation in experiential learning design through feedback, iteration, and adaptation.
- Date:
- Thursday, March 26, 2026
- Time:
- 2:00pm - 3:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- CTLI Rm W207 (Main Library, 2 West)
- Audience:
- Educator Network In-Class Educators Online Educators Quality Matters
- Categories:
- Curriculum Development Designing Courses EdTech Educator Networking Educator Onboarding Evaluation & Assessment Experiential Learning Generative AI Hybrid Session Improving Courses In-person Session Interdisciplinary Learning Online Session Special Topics
Participants will be expected to use ChatGPT and/or Copilot during this session. It is recommended that you bring a laptop with you and have some basic familiarity with prompting.
The in-person location for this session is the Center for Teaching and Learning Innovation. Please join us in the Main Library, Room W207. For directions to W207, please visit the Room Locations page.