AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 921 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recognising (b) predicting (c) recommending (d) generating
2. 2.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
3. 3.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
4. 4.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) nobody at all (d) people
5. 5.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
6. 6.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI is never wrong (c) AI learns from data (d) AI answers need checking
7. 7.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) copies of one photo (d) new data for testing
8. 8.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
9. 9.True or false: “improves with more data” describes how AI works. (a) True (b) False
10. 10.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
11. 11.🔍 Which is the odd one out? (a) a fan regulator (b) a doorbell (c) voice typing (d) a microwave timer
12. 12.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
13. 13.Which of these is the model? (a) what training builds (b) naming a new leaf (c) labelled fruit photos (d) flagging a new email
14. 14.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
15. 15.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
16. 16.True or false: a map app guessing how long a trip will take is AI generating something new. (a) False (b) True
17. 17.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) an image (c) text
18. 18.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
19. 19.Which of these is a myth about AI? (a) long answers are true (b) AI can mix up numbers (c) AI learns from data (d) AI can make up facts
20. 20.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
21. 21.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) predicting (c) recognising (d) recommending
22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
23. 23.Which of these is a fact about AI? (a) AI can be wrong (b) confident means correct (c) AI always checks facts (d) AI is never wrong
24. 24.🔍 Which is the odd one out? (a) AI learns from data (b) AI has real feelings (c) AI copies data patterns (d) AI can mix up numbers
25. 25.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
26. 26.True or false: “naming a new fruit photo” is training data. (a) False (b) True
27. 27.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) copy it straight away (c) never do maths (d) check it on paper
28. 28.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
29. 29.True or false: “follows fixed rules” describes how a normal program works. (a) True (b) False
30. 30.Which of these describes how a normal program works? (a) same steps every time (b) spots patterns in data (c) improves with more data (d) learns from examples
31. 31.True or false: “check who is missing” helps reduce bias. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
33. 33.✍️ How does an AI chatbot write its replies? (a) asks a person (b) predicts likely words (c) copies one website (d) uses magic
34. 34.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
35. 35.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
37. 37.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
38. 38.🔍 Which is the odd one out? (a) blurry, unclear photos (b) testing on training data (c) correct labels (d) copies of one photo
39. 39.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
40. 40.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training

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