AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 595 · 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.Which of these is not AI? (a) voice typing (b) a digital watch (c) a map predicting traffic (d) photos grouped by face
2. 2.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
3. 3.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
4. 4.🔍 Which is the odd one out? (a) spotting spam (b) writing quiz questions (c) turning speech to text (d) reading number plates
5. 5.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
6. 6.🔍 Which is the odd one out? (a) an AI chatbot (b) a spam filter (c) an image generator (d) a kitchen weighing scale
7. 7.🔍 Which is the odd one out? (a) long answers are true (b) AI can mix up numbers (c) AI can make up facts (d) AI can be wrong
8. 8.Which of these describes how AI works? (a) same steps every time (b) follows fixed rules (c) never learns from data (d) learns from examples
9. 9.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
10. 10.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
11. 11.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
12. 12.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) add varied examples (d) balance the data
13. 13.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a summary (c) a backup (d) a password
14. 14.True or false: a shop guessing how many umbrellas will sell is AI recognising something. (a) False (b) True
15. 15.Which of these adds to bias? (a) test on many groups (b) balance the data (c) ask different people (d) test on one group only
16. 16.🔮 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
17. 17.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
18. 18.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
19. 19.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) music or sound (b) an image (c) text
20. 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
21. 21.True or false: “a picture of a castle made of mangoes” asks for an image. (a) False (b) True
22. 22.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
23. 23.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
24. 24.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the right answer tag (d) the price
25. 25.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
26. 26.🤖 Who builds and trains AI systems? (a) the weather (b) people (c) nobody at all (d) the Moon
27. 27.Which of these is a myth about AI? (a) AI answers need checking (b) AI copies data patterns (c) AI can make up facts (d) long answers are true
28. 28.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
29. 29.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
30. 30.True or false: “does exactly as coded” describes how a normal program works. (a) True (b) False
31. 31.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
32. 32.🔍 Which is the odd one out? (a) photos grouped by face (b) a map predicting traffic (c) a microwave timer (d) a spam filter
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
34. 34.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) copies of one photo (d) examples of every type
35. 35.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
36. 36.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
37. 37.🎨 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
38. 38.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
39. 39.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
40. 40.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) printing (c) charging (d) cooking

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