AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 155 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
2. 2.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) writing quiz questions (c) unlocking with a face (d) spotting a sick leaf
3. 3.Which of these describes how AI works? (a) never learns from data (b) one set rule per case (c) follows fixed rules (d) improves with more data
4. 4.Which of these is bad for training a model? (a) clear, sharp examples (b) many varied examples (c) photos in many lights (d) wrong labels
5. 5.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
6. 6.True or false: “AI can mix up numbers” is a myth about AI. (a) True (b) False
7. 7.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) recommending (c) recognising (d) generating
8. 8.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
9. 9.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) correct labels (d) blurry, unclear photos
10. 10.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
11. 11.🤖 What does AI stand for? (a) automatic internet (b) app installer (c) actual information (d) artificial intelligence
12. 12.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
13. 13.🔍 Which is the odd one out? (a) a microwave timer (b) voice typing (c) a calculator (d) a stopwatch
14. 14.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
15. 15.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a password (c) a summary (d) a backup
16. 16.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
17. 17.Which of these is a myth about AI? (a) AI can be wrong (b) AI learns from data (c) AI copies data patterns (d) confident means correct
18. 18.Which of these is not AI? (a) a voice assistant (b) a map predicting traffic (c) photos grouped by face (d) a microwave timer
19. 19.Which of these describes how AI works? (a) follows fixed rules (b) one set rule per case (c) handles unseen examples (d) uses rules people wrote
20. 20.🔍 Which is the odd one out? (a) voice typing (b) a torch (c) an image generator (d) face unlock on a phone
21. 21.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
22. 22.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) test on one group only (d) fix wrong labels
23. 23.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) music or sound (c) an image
24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
25. 25.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
26. 26.True or false: a shop guessing how many umbrellas will sell is AI predicting something. (a) True (b) False
27. 27.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
28. 28.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
29. 29.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) people (d) nobody at all
30. 30.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
31. 31.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
32. 32.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
33. 33.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
34. 34.True or false: counting the words in an essay only needs a simple fixed rule. (a) False (b) True
35. 35.True or false: “AI has real feelings” is a fact about AI. (a) True (b) False
36. 36.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
37. 37.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) ask different people (d) skip testing
38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
39. 39.True or false: “very few examples” is good for training a model. (a) True (b) False
40. 40.Which of these is not AI? (a) a light switch (b) a map predicting traffic (c) voice typing (d) an image generator

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