Student material · Assignment · Published in Canvas

Day 5 · Remix, Retest, Revise, Share

Points
100
Submission
upload
Canvas state
Published

PICTURE THIS · DAY 5 OF 5

Remix, Retest, Revise, Share

The model predicts. Your code decides what happens next. Make that decision interesting and test whether it works for someone else.

Topic: Coding with model predictions
Objective: I can remix an AI-powered project, test it with another person, and revise one part based on evidence.
Demonstration of learning: I submit a working .sb3 file and explain one programmed response, one failure, and one revision.

Open yesterday's work

  • Open RAISE Playground.
  • Choose File → Load from your computer.
  • Open yesterday's .sb3 file from Downloads.
  • Confirm your model and one response still work before you remix.

Remix menu · choose at least one

  • Replace or redesign the sprite.
  • Change what happens for each class.
  • Add a third class and response.
  • Add sound, speech, color, costume, or backdrop changes.
  • Combine two actions into a short sequence.

Partner test + revision

  • Give your partner the project without explaining the controls.
  • Watch where the model or interface confuses them.
  • Retest in a different position or lighting condition.
  • Revise at least one training or code choice and test again.

Feedback stem: I expected ______, but ______ happened. Try changing ______.

Submit

  • Choose File → Save to your computer.
  • Name the file Lastname-Firstname-PictureThis.sb3.
  • Upload the .sb3 file to this assignment.
  • In the submission comments, answer: What did your model detect? What did your code do? What failed during testing? What did you revise?

Final success criteria

  • The submitted .sb3 opens.
  • At least two model classes trigger different visible responses.
  • The project includes at least one purposeful remix.
  • Another person tested it.
  • The reflection names a specific failure and revision.

RAISE Playground was created by the MIT RAISE Initiative and the Personal Robots Group at the MIT Media Lab.