AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 28 · 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.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
2. 2.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
3. 3.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) recognising (c) predicting (d) recommending
4. 4.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it is always right (d) it learns from examples
5. 5.Which of these describes how AI works? (a) never learns from data (b) uses rules people wrote (c) does exactly as coded (d) learns from examples
6. 6.True or false: “check who is missing” helps reduce bias. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) a doorbell (b) a torch (c) a map predicting traffic (d) a fan regulator
8. 8.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a basic calculator (d) a spam filter
9. 9.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
10. 10.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
11. 11.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) ignore complaints (d) use one group only
12. 12.🔍 Which is the odd one out? (a) an app translating signs (b) face unlock on a phone (c) photos grouped by face (d) a printed timetable
13. 13.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
14. 14.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
15. 15.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
16. 16.True or false: “recorded spoken words” is a prediction. (a) False (b) True
17. 17.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
18. 18.True or false: “old emails marked spam” is the model. (a) False (b) True
19. 19.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) video suggestions (b) face unlock on a phone (c) a digital watch (d) a map predicting traffic
21. 21.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
22. 22.Which of these is a fact about AI? (a) AI knows everything (b) long answers are true (c) AI has real feelings (d) AI answers need checking
23. 23.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
24. 24.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
25. 25.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
26. 26.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) generating (b) recognising (c) recommending (d) predicting
27. 27.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
28. 28.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) charge faster (d) clean screens
29. 29.True or false: “wrong labels” is good for training a model. (a) True (b) False
30. 30.Which of these describes how a normal program works? (a) gives a likely answer (b) handles unseen examples (c) makes a best guess (d) does exactly as coded
31. 31.✨ Generative or not: suggesting a video? (a) sorts or predicts (b) makes something new
32. 32.Which of these is a fact about AI? (a) AI learns from data (b) AI is never wrong (c) long answers are true (d) AI knows everything
33. 33.Which of these is bad for training a model? (a) labels added at random (b) correct labels (c) new data for testing (d) examples of every type
34. 34.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) predicting (b) recommending (c) recognising (d) generating
35. 35.🔍 Which is the odd one out? (a) a map predicting traffic (b) a stopwatch (c) face unlock on a phone (d) an app translating signs
36. 36.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
37. 37.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
39. 39.True or false: “balance the data” helps reduce bias. (a) False (b) True
40. 40.Which of these describes how a normal program works? (a) makes a best guess (b) gives a likely answer (c) never learns from data (d) spots patterns in data

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