AI Strengths and Limits

Unit 1 grounds students as AI leaders who use AI reliably. Across five 45-minute lessons, they explain how AI works and where it fails, judge data quality, write precise prompts, verify outputs against sources, and build a repeatable prompt-test-verify-revise workflow.

The 5 lessons

1. 1

   What Makes AI Powerful?

   45 min

   Students explain how AI systems work at a high level and name one real strength and one real limitation.

   Vocabulary: AI · model · pattern · limit · output

2. 2

   Data Quality and Performance

   45 min

   Learners evaluate how the quality of training data shapes a model's outputs, comparing strong vs. weak datasets.

   Vocabulary: data quality · representative · training data · performance

3. 3

   Prompting for Precision

   45 min

   Students write precise prompts — goal, audience, context, constraints — and refine them based on the results.

   Vocabulary: prompt · context · refine · specificity

4. 4

   Verify the Output

   45 min

   Learners identify when AI outputs need checking and how to verify claims against reliable sources.

   Vocabulary: verify · accuracy · confidence · source

5. 5

   Build a Reliable Workflow

   45 min

   Students create a repeatable prompt → test → verify → revise workflow for dependable AI use.

   Vocabulary: workflow · revise · evaluate · reliable