AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 29 · 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: copies of one photo? (a) good for training (b) bad for training
2. 2.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
4. 4.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) text (b) music or sound (c) an image
5. 5.True or false: “correct labels” is good for training a model. (a) False (b) True
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
7. 7.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
8. 8.Which of these describes how AI works? (a) follows fixed rules (b) one set rule per case (c) uses rules people wrote (d) makes a best guess
9. 9.True or false: adding up the marks on a report card needs AI that learns from examples. (a) False (b) True
10. 10.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
11. 11.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
12. 12.Which of these is not AI? (a) a torch (b) face unlock on a phone (c) video suggestions (d) an app translating signs
13. 13.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
14. 14.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
15. 15.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it uses electricity (c) it learns from examples (d) it has a screen
16. 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
17. 17.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
18. 18.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
19. 19.True or false: “makes a best guess” describes how AI works. (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) a digital watch (b) a microwave timer (c) voice typing (d) a torch
21. 21.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
22. 22.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
23. 23.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
24. 24.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
25. 25.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
26. 26.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
27. 27.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) many varied examples (d) wrong labels
28. 28.Which of these describes how AI works? (a) same steps every time (b) does exactly as coded (c) learns from examples (d) never learns from data
29. 29.True or false: “AI has real feelings” is a fact about AI. (a) True (b) False
30. 30.Which of these is the model? (a) labelled fruit photos (b) the trained program (c) naming a new fruit photo (d) typing a new spoken word
31. 31.Which of these describes how a normal program works? (a) learns from examples (b) improves with more data (c) one set rule per case (d) spots patterns in data
32. 32.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) blurry, unclear photos (d) photos in many lights
33. 33.🔍 Which is the odd one out? (a) suggesting a video (b) creating a cartoon (c) unlocking with a face (d) sorting photos by face
34. 34.Which of these is bad for training a model? (a) checking labels twice (b) copies of one photo (c) many varied examples (d) correct labels
35. 35.Which of these describes how AI works? (a) follows fixed rules (b) same steps every time (c) does exactly as coded (d) handles unseen examples
36. 36.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
37. 37.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
38. 38.True or false: a video app suggesting what to watch next is AI recommending something. (a) True (b) False
39. 39.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) forget everything (d) slower to switch on
40. 40.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) 500 labelled leaf photos (d) recorded spoken words

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