AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 165 · 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.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
2. 2.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
3. 3.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recommending (b) generating (c) predicting (d) recognising
4. 4.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
5. 5.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
6. 6.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
7. 7.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
8. 8.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) no, it follows rules (d) only at night
9. 9.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) music or sound (b) an image (c) text
10. 10.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) music or sound (b) an image (c) text
11. 11.Which of these is bad for training a model? (a) new data for testing (b) correct labels (c) examples of every type (d) only one kind of example
12. 12.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image
13. 13.Which of these is a myth about AI? (a) AI always checks facts (b) AI can be wrong (c) AI answers need checking (d) AI can make up facts
14. 14.True or false: “AI knows everything” is a myth about AI. (a) True (b) False
15. 15.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) people (d) nobody at all
16. 16.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) wrong labels (d) examples of every type
17. 17.Which of these describes how a normal program works? (a) handles unseen examples (b) follows fixed rules (c) makes a best guess (d) learns from examples
18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
19. 19.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
20. 20.Which of these uses AI? (a) a fan regulator (b) a microwave timer (c) a calculator (d) an AI chatbot
21. 21.True or false: “improves with more data” describes how AI works. (a) True (b) False
22. 22.Which of these is a myth about AI? (a) AI has real feelings (b) AI can be wrong (c) AI learns from data (d) AI answers need checking
23. 23.🔍 Which is the odd one out? (a) an image generator (b) a printed timetable (c) a fan regulator (d) a kitchen weighing scale
24. 24.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) a song about dogs (d) many labelled photos
25. 25.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
26. 26.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
27. 27.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) learns from examples (d) never learns from data
28. 28.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) predicting rain (c) making up a story (d) turning speech to text
29. 29.Which of these is bad for training a model? (a) blurry, unclear photos (b) new data for testing (c) many varied examples (d) examples of every type
30. 30.🔍 Which is the odd one out? (a) confident means correct (b) AI has real feelings (c) AI can make up facts (d) AI knows everything
31. 31.Which of these is AI that sorts, spots or predicts (not generative)? (a) unlocking with a face (b) writing quiz questions (c) creating a cartoon (d) inventing a recipe
32. 32.🏷️ 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
33. 33.True or false: “new data for testing” is bad for training a model. (a) False (b) True
34. 34.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) app installer (d) actual information
35. 35.True or false: “labels added at random” is good for training a model. (a) True (b) False
36. 36.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
37. 37.True or false: “confident means correct” is a myth about AI. (a) False (b) True
38. 38.Which of these is a fact about AI? (a) long answers are true (b) AI always checks facts (c) confident means correct (d) AI copies data patterns
39. 39.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) learn from data (d) clean screens
40. 40.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)

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