Creating plausible choices and distractors is one of the most challenging aspects of writing scenarios—options need to be realistic, and wrong answers should reflect mistakes someone might actually make, not obvious throwaways that learners can easily guess. AI can help augment your writing to make writing choices and consequences easier. 

In this session, you'll practice using LLMs to generate questions, choices, and consequences for scenario-based learning. Starting with sample prompts and partial information (similar to what you might get from a SME), you'll refine your prompts to improve results, building a scenario with realistic decision points and meaningful consequences. We'll also review the limitations of these tools and identify where you'll need to revise the text yourself.
 
You'll leave with sample prompts, a process for refining AI-generated content, and hands-on experience to build your confidence using these tools in your own workflow.

By the end of this hands-on session, you will learn:

• How to prompt LLMs to generate draft scenario questions, choices, and consequences
• How to refine prompts and iterate based on AI responses
• Limitations of AI tools in generating scenarios

Christy Tucker is a learning experience design consultant with over 20 years of experience helping people learn. She specializes in using scenario-based learning to engage audiences and promote skill transfer to real-world environments. She has created training for a wide range of clients, including Fortune 500 companies, nonprofit associations, state and local government agencies, universities, and more. Christy has been blogging about instructional design and elearning for over 15 years and is a regular speaker at industry conferences and events.