AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 849 · 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 a basic calculator an AI system? (a) only at night (b) yes, it can think (c) yes, it is smart (d) no, it follows rules
2. 2.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) text (b) an image (c) music or sound
3. 3.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) recommending (d) charging
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
5. 5.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
6. 6.True or false: showing the time on a clock needs AI that learns from examples. (a) False (b) True
7. 7.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
8. 8.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
9. 9.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
10. 10.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) check who is missing (d) skip testing
11. 11.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
12. 12.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) ask it to hurry (c) check it on paper (d) copy it straight away
13. 13.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) many varied examples (d) wrong labels
14. 14.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
15. 15.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
16. 16.Which of these describes how AI works? (a) learns from examples (b) does exactly as coded (c) follows fixed rules (d) uses rules people wrote
17. 17.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
18. 18.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
19. 19.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
20. 20.🔮 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
21. 21.True or false: “very few examples” is good for training a model. (a) False (b) True
22. 22.Which of these describes how a normal program works? (a) improves with more data (b) makes a best guess (c) gives a likely answer (d) never learns from data
23. 23.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
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: ask your teacher? (a) a real check (b) not a real check
26. 26.✍️ How does an AI chatbot write its replies? (a) asks a person (b) predicts likely words (c) copies one website (d) uses magic
27. 27.True or false: “very few examples” is bad for training a model. (a) False (b) True
28. 28.Which of these is generative AI (it makes something new)? (a) writing a new poem (b) unlocking with a face (c) spotting spam (d) sorting photos by face
29. 29.⏩ 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
30. 30.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
31. 31.True or false: “add more of the same” helps reduce bias. (a) True (b) False
32. 32.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) use one group only (d) add varied examples
33. 33.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) checking labels twice (d) labels added at random
34. 34.🎨 An image generator makes a picture from… (a) a phone number (b) a text description (c) the weather (d) your password
35. 35.🏷️ 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
36. 36.True or false: “use one group only” helps reduce bias. (a) False (b) True
37. 37.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
38. 38.Which of these is not AI? (a) face unlock on a phone (b) a light switch (c) an app translating signs (d) voice typing
39. 39.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) True (b) False
40. 40.Which of these is a fact about AI? (a) AI is never wrong (b) long answers are true (c) AI knows everything (d) AI can be wrong

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