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AI Literacy for Teachers
About this course
A grounded introduction to what generative AI tools can and cannot reliably do in a teaching context, and how to use them without outsourcing professional judgment.
Learning outcomes
- Explain, in plain terms, how a generative AI tool produces its output
- Identify tasks where AI assistance is appropriate versus risky in teaching
- Fact-check and correct AI-generated content before classroom use
- Use an AI tool to accelerate one routine planning task
- Discuss AI's limitations with students in an age-appropriate way
Session plan
How Generative AI Works
Explain in plain terms how a generative AI tool produces text, and why the same prompt can give different answers.
Appropriate vs. Risky Uses
Classify proposed classroom uses of AI as green, yellow or red, and justify each choice.
Fact-Checking AI Output
Find, correct and explain errors in AI-generated classroom content using a simple, repeatable checking routine.
Using AI to Accelerate Planning
Use an AI tool to draft one routine planning artifact, then review and edit it, and record what you changed and why.
Talking to Students About AI
Prepare and test an age-appropriate explanation of what AI can and cannot do, with a clear class rule for using it.
Assessment
| Weight | Exemplary looks like | |
|---|---|---|
| Use-case classification | 25% | Identifies a use-case others missed |
| Fact-check exercise | 35% | Explains why each error is plausible-sounding |
| AI-assisted planning artifact | 40% | Documents what was changed and why |
Required readings
- Plain-language explainer on generative AI
- Green/yellow/red use-case framework for classroom AI
- Short piece on talking to students about AI limitations
AI integration
This is the AI course itself — every activity is direct, hands-on practice with the same categories of tools the rest of the pathway references. Activities are written to be tool-neutral and have an offline version using pre-prepared samples, so the course runs without internet access.