Graph 3: Whole Class Improvement
Instructions:
- Collect Round 1 and Round 2 data from all groups in the class
- Plot each group's improvement (Round 2 % - Round 1 %)
- Calculate and mark the class average improvement
- Analyze: Which groups improved the most? Why?
Class Period: Date:
50%
45%
40%
35%
30%
25%
20%
15%
10%
5%
0%
Group 1
Group 2
Group 3
Group 4
Group 5
Group 6
Improvement Percentage (Round 2 - Round 1)
Class Statistics:
Highest Improvement: % by Group
Lowest Improvement: % by Group
Class Average Improvement: %
Graph 4: Create Your Own Data Visualization
Challenge: Design Your Own Graph!
Use this blank grid to create your own way of visualizing the AI training data. You could:
- Create a line graph showing improvement over multiple rounds
- Design a pie chart showing the breakdown of correct vs. incorrect answers
- Make a scatter plot comparing training time to accuracy
- Invent your own creative data visualization method!
Remember to: Label your axes, include a title, add a legend if needed, and write a caption explaining what your graph shows.
Graph Title:
Caption - What does your graph show?