AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 172 · 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.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
2. 2.Which of these is bad for training a model? (a) clear, sharp examples (b) correct labels (c) wrong labels (d) photos in many lights
3. 3.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
4. 4.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
5. 5.🔍 Which is the odd one out? (a) AI always checks facts (b) AI copies data patterns (c) AI answers need checking (d) AI learns from data
6. 6.True or false: “a soft lullaby melody” asks for an image. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
8. 8.🎨 An image generator makes a picture from… (a) a phone number (b) a text description (c) the weather (d) your password
9. 9.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) copy it straight away (c) never do maths (d) check it on paper
10. 10.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recognising (b) generating (c) recommending (d) predicting
11. 11.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
12. 12.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
13. 13.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
14. 14.Which of these is training data? (a) what training builds (b) flagging a new email (c) old emails marked spam (d) the learned patterns
15. 15.Which of these is the model? (a) past weather records (b) what training builds (c) old emails marked spam (d) labelled fruit photos
16. 16.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
17. 17.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
18. 18.True or false: “examples of every type” is bad for training a model. (a) False (b) True
19. 19.True or false: “add more of the same” helps reduce bias. (a) True (b) False
20. 20.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
21. 21.🏠 AI or not AI: a torch? (a) not AI (b) uses AI
22. 22.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
23. 23.True or false: turning your spoken words into typed text is AI recommending something. (a) False (b) True
24. 24.🧮 Which of these is NOT AI? (a) a basic calculator (b) a spam filter (c) face unlock (d) voice typing
25. 25.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
27. 27.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
28. 28.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
29. 29.Which of these helps reduce bias? (a) check who is missing (b) test on one group only (c) add more of the same (d) copy old unfair choices
30. 30.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
31. 31.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) False (b) True
32. 32.True or false: a shop guessing how many umbrellas will sell is AI predicting something. (a) False (b) True
33. 33.Which of these is not AI? (a) a spam filter (b) voice typing (c) a map predicting traffic (d) a light switch
34. 34.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) recommending (c) generating (d) predicting
35. 35.🔍 Which is the odd one out? (a) unlocking with a face (b) predicting rain (c) inventing a recipe (d) turning speech to text
36. 36.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
37. 37.Which of these is bad for training a model? (a) only one kind of example (b) new data for testing (c) clear, sharp examples (d) many varied examples
38. 38.Which of these uses AI? (a) a spam filter (b) a microwave timer (c) a doorbell (d) a printed timetable
39. 39.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) copies of one photo (b) blurry, unclear photos (c) only one kind of example (d) checking labels twice

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