AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 712 · 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.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
2. 2.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
3. 3.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
4. 4.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) the trained program (d) 500 labelled leaf photos
5. 5.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
6. 6.True or false: “one set rule per case” describes how AI works. (a) True (b) False
7. 7.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
8. 8.True or false: “old emails marked spam” is the model. (a) False (b) True
9. 9.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
10. 10.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
11. 11.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
12. 12.Which of these describes how AI works? (a) same steps every time (b) does exactly as coded (c) one set rule per case (d) gives a likely answer
13. 13.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a hallucination (c) a password (d) a summary
14. 14.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
15. 15.Which of these is good for training a model? (a) only one kind of example (b) copies of one photo (c) wrong labels (d) correct labels
16. 16.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
17. 17.✍️ How does an AI chatbot write its replies? (a) asks a person (b) uses magic (c) predicts likely words (d) copies one website
18. 18.True or false: adding up the marks on a report card needs AI that learns from examples. (a) False (b) True
19. 19.Which of these is good for training a model? (a) only one kind of example (b) clear, sharp examples (c) very few examples (d) copies of one photo
20. 20.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) True (b) False
21. 21.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
22. 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) drafting a letter (c) making up a story (d) turning speech to text
23. 23.True or false: “ignore complaints” adds to bias. (a) False (b) True
24. 24.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
25. 25.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
27. 27.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
28. 28.True or false: a phone unlocking when it sees your face is AI recognising something. (a) True (b) False
29. 29.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
30. 30.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
31. 31.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
32. 32.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
33. 33.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
34. 34.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
35. 35.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
36. 36.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
37. 37.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) music or sound (b) an image (c) text
38. 38.Which of these uses AI? (a) a fan regulator (b) a light switch (c) an app translating signs (d) a microwave timer
39. 39.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
40. 40.Which of these is a myth about AI? (a) AI can be wrong (b) AI copies data patterns (c) AI can make up facts (d) confident means correct

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