Arcade Rescue Company
Log in to saveStudents inherit a cardboard arcade full of frustrating, unfair, or broken games. They diagnose the mechanism — ramps, levers, pulleys, or launchers — repair it, and use real play-test data to prove it's fair.
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Setup
Place common or recycled supplies for Arcade Rescue Company on one work surface and choose a safe area for the test. Read the four activity directions aloud; drawings, paper models, and household substitutes may replace specialized materials, and no digital tool is required.
Activity
- Play-test the broken arcade game and diagnose which mechanism (ramp, lever, pulley, or launcher) is causing it to be frustrating or unfair.
- Repair or redesign the game and set clear scoring rules.
- A player discovers a strategy that breaks the scoring system — collect play-test data to find the loophole and rebalance the rules.
- Reopen the arcade and defend the game's fairness to the class using your performance data.
Done when: The group produces the Arcade Rescue Company solution, completes the described test, makes the revision called for by the evidence, and supports its final explanation with an observed or measured result.
Materials
Cardboard, craft sticks, rubber bands, small foam balls, cups or targets, tape
Shown for the Quick Start version — switch tabs above to see what changes.
Steps
- Play-test the broken arcade game and diagnose which mechanism (ramp, lever, pulley, or launcher) is causing it to be frustrating or unfair.
- Repair or redesign the game and set clear scoring rules.
- A player discovers a strategy that breaks the scoring system — collect play-test data to find the loophole and rebalance the rules.
- Reopen the arcade and defend the game's fairness to the class using your performance data.
Standards it satisfies
NGSS · 3-5-ETS1-1
Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost.
NGSS · 3-5-ETS1-2
Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem.