AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 52 · 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.Which of these is good for training a model? (a) many varied examples (b) labels added at random (c) very few examples (d) blurry, unclear photos
2. 2.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the right answer tag (d) the font size
3. 3.True or false: “check who is missing” helps reduce bias. (a) False (b) True
4. 4.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) ask it to hurry (c) never do maths (d) check it on paper
5. 5.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
6. 6.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) drafting a letter (c) sorting photos by face (d) making up a story
7. 7.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
8. 8.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a label (d) a prompt
9. 9.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
10. 10.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
11. 11.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
12. 12.Which of these is a myth about AI? (a) confident means correct (b) AI can make up facts (c) AI can be wrong (d) AI can mix up numbers
13. 13.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
14. 14.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False
15. 15.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
16. 16.True or false: a video app suggesting what to watch next is AI recognising something. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) many varied examples (b) wrong labels (c) photos in many lights (d) clear, sharp examples
18. 18.Which of these is not AI? (a) a doorbell (b) photos grouped by face (c) voice typing (d) a voice assistant
19. 19.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
20. 20.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
21. 21.Which of these is the model? (a) past weather records (b) typing a new spoken word (c) the trained program (d) tomorrow’s rain guess
22. 22.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
23. 23.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
24. 24.🔍 Which is the odd one out? (a) writing quiz questions (b) writing a new poem (c) reading number plates (d) drawing a new picture
25. 25.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) an image (c) music or sound
26. 26.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) one single photo (d) many labelled photos
27. 27.🔍 Which is the odd one out? (a) AI can make up facts (b) AI answers need checking (c) AI has real feelings (d) AI learns from data
28. 28.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
29. 29.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
30. 30.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
31. 31.True or false: “balance the data” helps reduce bias. (a) False (b) True
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
33. 33.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
34. 34.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
36. 36.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
37. 37.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
38. 38.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
39. 39.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
40. 40.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) the weather (d) nobody at all

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