AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 488 · 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.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) True (b) False
2. 2.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) nobody at all (d) the weather
3. 3.Which of these is training data? (a) past weather records (b) naming a new leaf (c) naming a new fruit photo (d) typing a new spoken word
4. 4.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
5. 5.Which of these is a fact about AI? (a) AI is never wrong (b) AI knows everything (c) AI can make up facts (d) AI has real feelings
6. 6.True or false: “AI copies data patterns” is a fact about AI. (a) True (b) False
7. 7.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) spots patterns in data (d) follows fixed rules
8. 8.🔍 Which is the odd one out? (a) a microwave timer (b) a map predicting traffic (c) voice typing (d) an image generator
9. 9.🤖 What does AI stand for? (a) app installer (b) actual information (c) artificial intelligence (d) automatic internet
10. 10.🔍 Which is the odd one out? (a) an image generator (b) an app translating signs (c) a digital watch (d) an AI chatbot
11. 11.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
12. 12.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
13. 13.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
14. 14.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
16. 16.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
17. 17.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
18. 18.🔍 Which is the odd one out? (a) checking labels twice (b) labels added at random (c) photos in many lights (d) correct labels
19. 19.Which of these helps reduce bias? (a) add more of the same (b) check who is missing (c) use one group only (d) test on one group only
20. 20.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
21. 21.Which of these helps reduce bias? (a) add more of the same (b) ask different people (c) use one group only (d) copy old unfair choices
22. 22.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
23. 23.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
24. 24.Which of these is bad for training a model? (a) correct labels (b) copies of one photo (c) photos in many lights (d) examples of every type
25. 25.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
26. 26.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) an image (c) music or sound
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
28. 28.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
29. 29.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
30. 30.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
31. 31.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
32. 32.True or false: “AI always checks facts” is a fact about AI. (a) False (b) True
33. 33.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
34. 34.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
35. 35.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
36. 36.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
37. 37.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
38. 38.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) True (b) False
39. 39.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on
40. 40.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) voice typing (d) a spam filter

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