3What your child explores · Smart Computer Scientist
Digital Creativity
Original games and stories that mix creative coding with AI-inspired ideas.
CharactersProgrammed behaviourAI ideas
Project Create an Interactive Game
Lives ♥♥♥
chaser follows you
when game startsforever: move towards playerif touching: lives −1
Scratch 3.0 programme
Smart Computer Scientist
ImaginePlan characters, worlds, goals and player experiences.
DesignCreate sprites, backgrounds, costumes and visual feedback.
CodeCombine events, motion, loops, conditions and variables.
RefinePlay-test, debug and improve through challenges.
Four coding conceptsEvents and motionLoops and conditionsVariables and operatorsClones and broadcasts
4 platform
Tablet or laptopMIT Scratch 3.0Sprites and backdropsSound and visual assets
4 thinking skills
Digital literacyLogical sequencingCreative problem-solvingTesting and debugging
Smart Computer Scientist · inside the projects
Variables, clones and messages
Project 3Jumping JackVariablesGravity
A speed variable plus gravity makes a real jump.
Project 11Balloon PopClonesScoring
One sprite makes many copies. Pop one to score.
Project 16Escape the RoomVariablesMessages
Find the key, then a broadcast opens the door.
Smart Computer Scientist · 20 projects
Twenty projects. Twenty creations.
The Maze RunnerUnderwater Treasure HuntJumping JackCatch the Falling ObjectsMagical PlantsA Day at a ZooSunrise and SunsetDancing SpritesInteractive PetComic ScriptBalloon PopDragon FlightWizard's DuelSpace ShooterMagic ShowEscape the RoomNature SceneRobot RepairWeather ForecastSpace Exploration
AI & machine learning programme
Smart ML Creator
FoundationsInputs, labels, features, training examples and predictions.
Reliable modelsBalance, variety and models that work again and again.
EvaluatingError types, confidence and the cost of mistakes.
ResponsibleUsers, privacy, fairness, human oversight and safe defaults.
Four kinds of dataImagesTextAudioNumbers
4 platform tools
Tablet or laptopMIT Scratch 3.0Browser-based ML trainerWeDo 2.0 robotics
4 thinking skills
Data literacyFair testing on unseen dataError and confidence analysisResponsible design
Smart ML Creator · every lesson, end to end
A complete ML cycle, every lesson
1
DefineSet the goal
2
Collect & labelGather examples
3
TrainLearn the pattern
4
PredictMake a guess
5
TestTry new data
6
AnalyseStudy the errors
7
ImproveRetrain it
8
DeployUse and evaluate
Smart ML Creator · inside the lessons
Train it, test it, use it responsibly
labelled examples
→
circle 92%
Lesson 1Pattern DetectiveLabelsTrainingPrediction
Label examples, train, then test a new drawing.
Sound
Prediction
Confidence
Clap
clap
91%
Tap
tap
84%
Door bang
clap
66%
Quiet room
background
88%
False trigger!
Lesson 11False Trigger Test LabTestingConfidenceErrors
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Chapter 1 of 22
Based on the Ace programme page at metarobotics.sg. Model photos, project screens and curriculum details come from the Smart Explorer, Smart Robotics Coder, Smart Computer Scientist and Smart ML Creator videos. Other illustrations are original; speech bubbles are illustrative. The voice-over uses your device’s built-in speech voice, so it sounds a little different on each device.