A 3-hour asynchronous video course for faculty

Teaching with Artificial Intelligence

Grounded Curiosity. Defensible Choices. Portfolio Outcomes. A free, self-paced course for higher-ed faculty — plus standalone sessions, a plain-language video glossary, and curated resources.

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Choose how to begin

Introduction Video

1:49
Video summary

A short welcome that frames the whole course around one question: if a student completed an assignment you care about with substantial AI assistance, what would you still know about their learning? It introduces the stance of grounded curiosity — neither hype nor panic, with skepticism treated as professional judgment — and previews the six cumulative modules that end in a teaching-ready portfolio. All you need to bring is one course and a willingness to make one defensible decision at a time.

01

Take the full course

Six progressive modules resulting in a teaching portfolio.

Course hub →
02

Short on time?

Choose a tailored quick-start path to find an entry point.

Find your path →
03

Want one idea?

Explore short, standalone faculty sessions you can try tomorrow.

View sessions →
Your progress stays private.

Complete checkboxes as you go. Progress is stored only in this browser.

View course

Start with the problem

What do you need right now?

You do not need to begin with the full course or with a tool. Begin with the teaching decision in front of you.

POL

I need a syllabus AI policy

Build transparent, aligned, equity-aware course language.

Go to Module 5 →
ASN

I need to redesign an assignment

Protect essential learning without making work explode.

Go to Module 4 →
101

I want to understand the basics

Get a functional, discipline-centered orientation.

Start Module 1 →
AsynchronousWork at your own pace
3 hoursTotal lecture runtime
6 modulesEach creates an artifact
All disciplinesWith synthetic course packets
1 portfolioReady for next term

A different kind of AI course

Pedagogy first. Durable by design.

01

Not a tool tour

Tools change. The course builds judgment around learning, evidence, and disciplinary values.

02

Every module produces something

Leave with policy, assignment, audit, and implementation documents you can use.

Curated context

Latest AI and teaching resources

All articles & resources
Interactive toolToolsEthicsEnvironment

AI Prompt Footprint Calculator

AI Literacy & Faculty Practice

An interactive calculator that estimates the carbon and water footprint of everyday AI use across models, output lengths, and usage patterns.

Open resource
PreprintPolicyResearchTools

STEM Faculty Perspectives on Generative AI in Higher Education

AI Literacy & Faculty Practice

Focus groups with 29 STEM faculty at a large U.S. public university show GenAI adoption is often student-driven; faculty describe pedagogical uses alongside concerns about learning, assessment validity, and integrity, and name the institutional support they need.

Read the paper

Beyond the course

Standalone sessions: one design move at a time

Short, self-contained sessions for faculty who want one idea they can try next week. No module sequence required.

All sessions
9 min Assignment design Simulation Assessment

From Static Cases to AI Role-Play

Turn an existing case discussion into live practice. Build a bounded chatbot scenario partner that students must reason with while the decision is still unfolding.

Open session
Conference companion guide March 2026 Finance Prompts Assessment

AI in the Finance Classroom

A ranked implementation guide to the ten highest-impact AI applications for finance teaching, each with workflows, ready-to-use prompts, rubrics, and a ten-minute first-week pilot.

Open the guide

Faculty-support chatbots

Get past the blank chat box.

Each chatbot concept includes starter prompts, a bounded task, and a reminder that faculty judgment remains the point.

Keep the conversation going

One useful update. Once a week.

Follow new resources, course improvements, and faculty-support tools without chasing every headline.