AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 868 · 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.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
2. 2.🔍 Which is the odd one out? (a) reading number plates (b) sorting photos by face (c) spotting spam (d) composing a new tune
3. 3.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
4. 4.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
5. 5.🎨 An image generator makes a picture from… (a) a phone number (b) the weather (c) your password (d) a text description
6. 6.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) False (b) True
7. 7.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) AI answers need checking (b) AI has real feelings (c) AI can make up facts (d) AI can mix up numbers
9. 9.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) examples of every type (d) labels added at random
10. 10.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
11. 11.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
12. 12.True or false: counting the words in an essay only needs a simple fixed rule. (a) False (b) True
13. 13.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) the learned patterns (d) past weather records
14. 14.True or false: “ask your teacher” is a real way to check an AI answer. (a) True (b) False
15. 15.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) reading number plates (c) drawing a new picture (d) suggesting a video
16. 16.True or false: an AI tool making a brand-new tune is AI predicting something. (a) False (b) True
17. 17.Which of these is the model? (a) labelled fruit photos (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new fruit photo
18. 18.🏠 AI or not AI: photos grouped by face? (a) uses AI (b) not AI
19. 19.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
20. 20.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
21. 21.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
22. 22.True or false: a video app suggesting what to watch next is AI recommending something. (a) False (b) True
23. 23.Which of these describes how a normal program works? (a) spots patterns in data (b) gives a likely answer (c) improves with more data (d) one set rule per case
24. 24.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
25. 25.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) text (b) an image (c) music or sound
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
27. 27.Which of these uses AI? (a) photos grouped by face (b) a printed timetable (c) a digital watch (d) a calculator
28. 28.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
29. 29.True or false: an online shop showing “you may also like” is AI recommending something. (a) True (b) False
30. 30.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
31. 31.True or false: “test on one group only” adds to bias. (a) False (b) True
32. 32.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
33. 33.Which of these is generative AI (it makes something new)? (a) reading number plates (b) sorting photos by face (c) writing a new poem (d) turning speech to text
34. 34.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
35. 35.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
36. 36.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
37. 37.True or false: “copies of one photo” is good for training a model. (a) False (b) True
38. 38.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
39. 39.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
40. 40.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) pick a lucky number (c) guess (d) ask it to repeat

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