AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 699 · 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: “what training builds” is training data. (a) True (b) False
2. 2.🎨 An image generator makes a picture from… (a) the weather (b) a text description (c) a phone number (d) your password
3. 3.True or false: a video app suggesting what to watch next is AI generating something new. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
5. 5.⏩ 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
6. 6.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) True (b) False
7. 7.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
8. 8.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) True (b) False
9. 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
10. 10.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
11. 11.🧮 Which of these is NOT AI? (a) voice typing (b) a basic calculator (c) a spam filter (d) face unlock
12. 12.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) cooking (c) printing (d) charging
13. 13.📱 What is the AI doing here: a car camera reading a speed sign? (a) recommending (b) recognising (c) generating (d) predicting
14. 14.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
15. 15.🔍 Which is the odd one out? (a) predicting rain (b) unlocking with a face (c) turning speech to text (d) drafting a letter
16. 16.True or false: “naming a new leaf” is a prediction. (a) False (b) True
17. 17.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
18. 18.Which of these is training data? (a) the trained program (b) old emails marked spam (c) typing a new spoken word (d) what training builds
19. 19.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
20. 20.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) False (b) True
21. 21.True or false: “balance the data” adds to bias. (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) turning speech to text (b) unlocking with a face (c) composing a new tune (d) spotting a sick leaf
23. 23.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
24. 24.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) drawing a new picture (c) unlocking with a face (d) making up a story
25. 25.🔍 Which is the odd one out? (a) unlocking with a face (b) spotting spam (c) drawing a new picture (d) suggesting a video
26. 26.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
27. 27.True or false: “ask different people” adds to bias. (a) True (b) False
28. 28.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
29. 29.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can mix up numbers (c) AI knows everything (d) AI can be wrong
30. 30.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) labelled fruit photos (d) 500 labelled leaf photos
31. 31.Which of these describes how AI works? (a) gives a likely answer (b) does exactly as coded (c) follows fixed rules (d) never learns from data
32. 32.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) check who is missing (d) add more of the same
33. 33.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
34. 34.🔍 Which is the odd one out? (a) AI copies data patterns (b) confident means correct (c) AI can be wrong (d) AI learns from data
35. 35.🏷️ 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
36. 36.True or false: “same steps every time” describes how AI works. (a) True (b) False
37. 37.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
38. 38.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) naming a new leaf (d) labelled fruit photos
39. 39.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) generating (c) recognising (d) recommending
40. 40.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough

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