AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 177 · 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 is the odd one out? (a) AI always checks facts (b) AI is never wrong (c) AI can make up facts (d) AI knows everything
2. 2.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
3. 3.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
4. 4.🔍 Which is the odd one out? (a) examples of every type (b) clear, sharp examples (c) new data for testing (d) testing on training data
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
6. 6.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
7. 7.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) writing a new poem (c) unlocking with a face (d) reading number plates
8. 8.🔍 Which is the odd one out? (a) photos grouped by face (b) a kitchen weighing scale (c) a printed timetable (d) a fan regulator
9. 9.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recommending (b) predicting (c) recognising (d) generating
10. 10.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
11. 11.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
12. 12.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
14. 14.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
15. 15.Which of these is not AI? (a) photos grouped by face (b) an app translating signs (c) voice typing (d) a torch
16. 16.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
17. 17.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
18. 18.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
19. 19.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) True (b) False
20. 20.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
21. 21.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) copy old unfair choices (d) balance the data
22. 22.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
23. 23.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) one single photo (d) many labelled photos
24. 24.True or false: “naming a new fruit photo” is training data. (a) True (b) False
25. 25.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) add varied examples (d) skip testing
26. 26.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
27. 27.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) predicting (b) generating (c) recommending (d) recognising
28. 28.✨ What does generative AI do? (a) charges batteries (b) makes new content (c) only adds numbers (d) only stores files
29. 29.Which of these is training data? (a) naming a new leaf (b) the trained program (c) typing a new spoken word (d) old emails marked spam
30. 30.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
31. 31.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
32. 32.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
33. 33.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
34. 34.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
35. 35.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
36. 36.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
37. 37.Which of these is good for training a model? (a) copies of one photo (b) correct labels (c) wrong labels (d) labels added at random
38. 38.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
40. 40.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False

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