AI Literacy

This page is your starting point for the session.
Use it to access materials, navigate the experiment cycles, and follow along as you move through the course.

Today’s Materials

• Presentation (Prezi) – Independent Use
• Live Prezi – Will follow along with instructor as presented
• Downloadable PDF

Use these alongside the session. The cycles below are where you will actively apply what is being demonstrated.

How This Works

The course is built around six experiment cycles. Each cycle introduces an idea, shows how it works, and gives you a way to practice it.

• Insight: What is happening and why it matters
• Technique: How to apply the idea
• Guided Experiment: A structured example
• Independent Experiment: Practice on your own
• Reflection: What changed and what to take away

You will move through these cycles during the session.

Experiment Cycles

• Cycle 1: More Detail Improves Output
• Cycle 2: Structured Prompting (RTIO)
• Cycle 3: Providing Context
• Cycle 4: Iteration and Refinement
• Cycle 5: Using AI as a Thinking Partner
• Cycle 6: Evaluation and Risk Awareness

How to Use This Page

1. Start with the presentation
2. Move to the corresponding cycle when directed
3. Review the Insight and Technique
4. Complete the experiments
5. Return here to continue to the next cycle

Key Ideas

• AI responds to how you interact with it.
• Better inputs improve results.
• Better interaction improves thinking.
• Your judgment determines the outcome.

Developed in collaboration by:
CIRAS (Center for Industrial Research And Service, ISU) • IIAI (Iowa Initiative for Artificial Intelligence, UofI) • TrAC (Translational Artificial Intelligence Center, ISU)

This course was developed through a collaborative effort to advance AI literacy across organizations in Iowa.