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, Chelsey Bahlmann Bollinger, and Angela Rona Estavillo

Alternate date/time:

This session will also be offered on Thursday, October 30, 10-11 a.m.

More resources: 

Explore the AI-related resources we offer in support of your teaching, learning, and research.