AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 333 · 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.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) share it online (c) trust the AI (d) trust the textbook
2. 2.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
3. 3.Which of these is generative AI (it makes something new)? (a) spotting spam (b) sorting photos by face (c) predicting rain (d) writing a new poem
4. 4.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) an image (c) music or sound
5. 5.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
6. 6.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
7. 7.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) correct labels (d) only one kind of example
8. 8.🔍 Which is the odd one out? (a) predicting rain (b) unlocking with a face (c) drafting a letter (d) spotting spam
9. 9.True or false: a music app suggesting a song you may like is AI generating something new. (a) True (b) False
10. 10.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
11. 11.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
12. 12.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
13. 13.Which of these describes how a normal program works? (a) spots patterns in data (b) one set rule per case (c) handles unseen examples (d) gives a likely answer
14. 14.True or false: “a cartoon of a dancing elephant” asks for an image. (a) False (b) True
15. 15.✍️ How does an AI chatbot write its replies? (a) asks a person (b) uses magic (c) copies one website (d) predicts likely words
16. 16.⏩ 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
17. 17.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
18. 18.Which of these is training data? (a) what training builds (b) flagging a new email (c) 500 labelled leaf photos (d) the learned patterns
19. 19.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
20. 20.Which of these describes how AI works? (a) never learns from data (b) one set rule per case (c) uses rules people wrote (d) gives a likely answer
21. 21.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
22. 22.🔍 Which is the odd one out? (a) correct labels (b) clear, sharp examples (c) photos in many lights (d) copies of one photo
23. 23.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
24. 24.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a backup (c) a summary (d) a hallucination
25. 25.🔍 Which is the odd one out? (a) reading number plates (b) writing a new poem (c) creating a cartoon (d) making up a story
26. 26.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
27. 27.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) actual information (d) app installer
28. 28.Which of these is a fact about AI? (a) AI can make up facts (b) confident means correct (c) AI has real feelings (d) AI is never wrong
29. 29.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
30. 30.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) making up a story (c) predicting rain (d) unlocking with a face
31. 31.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
32. 32.True or false: “it sounds very sure” is a real way to check an AI answer. (a) True (b) False
33. 33.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
34. 34.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
35. 35.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
36. 36.Which of these uses AI? (a) a light switch (b) an AI chatbot (c) a doorbell (d) a fan regulator
37. 37.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) add varied examples (d) use one group only
38. 38.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) ask it to hurry (c) never do maths (d) copy it straight away
39. 39.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
40. 40.True or false: “what training builds” is the model. (a) True (b) False

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