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The goal B Investigator

Discoverer — build a game and train a machine

For ages 10–12. Block programming with loops, conditions and variables, randomness and fairness, decision trees of yes/no questions, and why an AI can make things up.

Knowledge nodes
23
From zero
about 8 h
Labs
0
See what you already know — no account

The diagnostic removes what you already know, so your path is usually much shorter.

What you can do afterwards

The whole path

Everything the goal builds on, grouped by level and in the order it builds on itself. Show on the map

AExplorer8 knowledge nodes
  1. Patterns and categories
  2. Probability and risk in everyday life
  3. Sequences and precise instructions
  4. Basic programming with blocks
  5. Controlling a process with commands
  6. Repeat: loops
  7. Training a machine with examples
  8. Accuracy: how good is the model?
BInvestigator15 knowledge nodes
  1. Yes/no questions that sort: decision trees
  2. Data in everyday life
  3. Algorithmic thinking
  4. Debugging: finding the error in the code
  5. Rule-based systems and machine learning
  6. Randomness and probability: basic calculations
  7. When the model is wrong — and who it hits
  8. Generative AI: how it creates content
  9. Language models and probabilities
  10. AI's invented answers
  11. Conditions in code: if–else
  12. Variables: named storage locations
  13. Identifying and fixing bugs
  14. Build a simple scoring system in code
  15. Project B: a game with points and chance