AI Lit for Faculty
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15 min

Practical Implementation

Bring it all together with prompt engineering tips, assignment redesigns, and a ready-to-use classroom workflow.

What you'll learn

Knowing why AI matters is the first step. This module focuses on the how: writing effective prompts, redesigning an existing assignment, and building a simple workflow you can use next week.

  • Write clear, specific prompts for teaching tasks
  • Redesign one assignment to include AI thoughtfully
  • Build a reusable AI workflow for your course

Prompt engineering for faculty

You want AI to generate discussion questions for a reading. Write a prompt that gives the AI enough context to produce useful, course-aligned questions.

Tips

  • 1Provide the text, topic, or reading passage.
  • 2Specify the level (introductory, upper-division) and the desired cognitive skill (analyze, compare, evaluate).
  • 3Ask for a mix of question types: open-ended, comparative, and application.

Redesign an existing assignment

Pick one assignment you already teach and add a meaningful AI layer.

Identify the core learning goal

What should students be able to do or understand by the end? Protect that goal at all costs.

Choose where AI adds value
Add accountability
Pilot and iterate

Prompt principles

What makes an AI prompt most effective for teaching?

Your next step

What is one assignment or activity you could redesign this semester to include AI? What would students gain from the change?

This reflection is stored locally in your browser.

AI in the classroom ideas

Explore practical, faculty-tested ways to bring AI into your teaching.

Browse classroom ideas

Key takeaways

  • 1Good prompts include role, context, task, format, and constraints.
  • 2Start small: redesign one assignment rather than an entire course.
  • 3Accountability tools (prompt logs, reflections, revisions) keep learning visible.