| Stage | Time | Purpose & Activity | Instructor Notes |
|---|---|---|---|
| 1. Kick-Off | 2-3 min | Prompt: "Where does math show up at work, even in creative or hands-on jobs?" | Prep a short whiteboard list of examples (inventory, payroll, production, photography budgets). Encourage variety to show math's universality. |
| 2. Core Concepts | 5-7 min | Teach three terms: Estimation, Percentage, Data Literacy. | Instructor Modeling: Display a 5-row dataset (e.g., sales or attendance). Calculate a percent increase on the board. Explain what the number means—not just how to find it ("It shows growth or loss."). Ask: "Why does that matter to a supervisor?" |
| 3. Guided Work Time | 12-15 min | Tier 1: "Quick Math Scenarios" – students solve 3 short workplace problems (budget, supply reorder, time calculation). Tier 2: "Mini Data Project" – analyze small dataset (e.g., order volume by week), calculate 1-2 metrics, and write a short Data Recommendation paragraph: "We should ___ because the data shows ___." | Distribute printed or projected dataset. Encourage showing all steps and units. Coach groups to interpret—not just compute—by asking, "What decision would this number support?" Collect 1-2 examples to share. |
| 4. Reflection / Exit Ticket | 2-3 min | "Why do all jobs require math and data literacy?" | Tie to reliability: people who understand data make confident, defensible decisions. |
Preparation: Print or project one small 5-row dataset for analysis.