AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 737 · 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 is the odd one out? (a) blurry, unclear photos (b) many varied examples (c) clear, sharp examples (d) correct labels
2. 2.Which of these is generative AI (it makes something new)? (a) predicting rain (b) suggesting a video (c) inventing a recipe (d) spotting spam
3. 3.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
4. 4.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
5. 5.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
6. 6.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
7. 7.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can make up facts (c) AI knows everything (d) AI copies data patterns
9. 9.Which of these is a prediction? (a) labelled fruit photos (b) flagging a new email (c) past weather records (d) 500 labelled leaf photos
10. 10.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) the learned patterns (d) old emails marked spam
11. 11.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
12. 12.True or false: “naming a new fruit photo” is the model. (a) False (b) True
13. 13.True or false: “check who is missing” adds to bias. (a) False (b) True
14. 14.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) blurry, unclear photos (d) checking labels twice
15. 15.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) naming a new leaf (d) what training builds
16. 16.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
18. 18.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
19. 19.Which of these describes how a normal program works? (a) gives a likely answer (b) improves with more data (c) spots patterns in data (d) never learns from data
20. 20.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
21. 21.Which of these is the model? (a) naming a new leaf (b) the learned patterns (c) tomorrow’s rain guess (d) recorded spoken words
22. 22.Which of these is bad for training a model? (a) photos in many lights (b) many varied examples (c) blurry, unclear photos (d) new data for testing
23. 23.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
24. 24.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) a sticker on a laptop (d) the font size
25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
26. 26.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
27. 27.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
28. 28.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a hallucination (c) a password (d) a backup
29. 29.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) ask different people (d) copy old unfair choices
30. 30.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it uses electricity (c) it is always right (d) it learns from examples
31. 31.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
32. 32.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
33. 33.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
34. 34.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
35. 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) making up a story (c) suggesting a video (d) creating a cartoon
36. 36.True or false: “old emails marked spam” is a prediction. (a) False (b) True
37. 37.Which of these adds to bias? (a) balance the data (b) add varied examples (c) test on one group only (d) test on many groups
38. 38.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) sorting photos by face (c) suggesting a video (d) drafting a letter
39. 39.Which of these uses AI? (a) a light switch (b) a digital watch (c) face unlock on a phone (d) a printed timetable
40. 40.True or false: “recorded spoken words” is the model. (a) False (b) True

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