Testing and Analysis
Initial knowledge: (Day 10)
Guide students on how to conduct controlled experiments to measure the car's performance (distance, time, speed).
Explain how to analyze experimental data and identify sources of error.
Discuss the concept of energy efficiency.
Activities: (Day 10-11)
Testing: Students conduct multiple trials of their mousetrap car, carefully measuring its performance parameters.
Data Collection: Students record their experimental data systematically.
Kinematic Analysis: Students use their data to calculate the car's average speed, acceleration (if measurable), and distance.
Mechanical Advantage Evaluation: Students analyze how their design choices (lever arm, wheel size) influenced the car's performance. They should relate their observations back to the principles of mechanical advantage.
Friction Analysis: Students should (if possible with available tools) analyze the impact of friction on their car's performance.
Resources:
Measuring tapes, stopwatches.
Optional: Motion sensors, photogates for more precise measurements.
Spreadsheet software for data analysis.
Feedback:
Guidance on experimental design and data collection methods.
Support in analyzing experimental data and identifying trends.
Feedback on the connection between their design choices and the observed performance, particularly in relation to mechanical advantage.Â