Discover the emerging practice of artificial intelligence (AI) prompt engineering—the skill of writing effective prompts or inputs to generate useful, accurate, and ethically responsible outputs from AI tools.

This session will introduce the fundamentals of prompt structure, showcase examples tailored to higher education, and give you the opportunity to experiment with crafting your own prompts. 

Through demonstrations and hands-on activities, you will explore how precise prompting can enhance teaching and learning, from course or assignment design to everyday instructional support.  We will also highlight strategies for critically evaluating AI-generated responses, with a focus on accuracy, inclusivity, and ethical considerations.

By the end of this session, you will be able to: 

• Define prompt engineering and explain its relevance to teaching and learning. 
• Apply prompt design strategies to generate useful outputs that support your teaching. 
• Adapt AI prompts for course or assignment design or redesign. 
• Critically evaluate AI-generated responses for accuracy, inclusivity, and ethical use.

This is on online forum. The Zoom link and password will be sent in the registration confirmation and reminder emails. The email will come from "LibCal."

Facilitators:

Nathaniel Taeho Yu and Chelsey Bahlmann Bollinger

Alternate date/time:

This workshop will also be offered on Zoom on March 10, 10:30-11:30 a.m. Please choose the one that best fits your schedule.

More resources: 

• AI Information and Resources from JMU Libraries
• AI Workshops from JMU Libraries in Spring 2026
• AI at JMU