AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 701 · 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 describes how AI works? (a) improves with more data (b) never learns from data (c) uses rules people wrote (d) follows fixed rules
2. 2.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
3. 3.True or false: “many varied examples” is good for training a model. (a) False (b) True
4. 4.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
5. 5.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) an image (c) text
6. 6.True or false: “uses rules people wrote” describes how a normal program works. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) labels added at random (b) new data for testing (c) only one kind of example (d) wrong labels
8. 8.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
9. 9.Which of these is generative AI (it makes something new)? (a) creating a cartoon (b) spotting spam (c) reading number plates (d) predicting rain
10. 10.True or false: a map app guessing how long a trip will take is AI predicting something. (a) False (b) True
11. 11.🔍 Which is the odd one out? (a) drafting a letter (b) making up a story (c) turning speech to text (d) drawing a new picture
12. 12.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) check it on paper (c) copy it straight away (d) never do maths
13. 13.Which of these is not AI? (a) an AI chatbot (b) an app translating signs (c) a map predicting traffic (d) a digital watch
14. 14.True or false: “examples of every type” is bad for training a model. (a) True (b) False
15. 15.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
16. 16.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
17. 17.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
18. 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
19. 19.True or false: “fix wrong labels” adds to bias. (a) True (b) False
20. 20.Which of these is a prediction? (a) what training builds (b) naming a new fruit photo (c) old emails marked spam (d) the trained program
21. 21.🔍 Which is the odd one out? (a) AI can make up facts (b) confident means correct (c) AI copies data patterns (d) AI can be wrong
22. 22.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
24. 24.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
25. 25.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
26. 26.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
27. 27.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
28. 28.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
29. 29.🤖 Who builds and trains AI systems? (a) the Moon (b) nobody at all (c) the weather (d) people
30. 30.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) test on one group only (d) add more of the same
31. 31.🔍 Which is the odd one out? (a) drafting a letter (b) unlocking with a face (c) turning speech to text (d) reading number plates
32. 32.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
33. 33.✨ What does generative AI do? (a) charges batteries (b) only stores files (c) only adds numbers (d) makes new content
34. 34.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) what training builds (d) the learned patterns
35. 35.🔍 Which is the odd one out? (a) a stopwatch (b) an image generator (c) a digital watch (d) a torch
36. 36.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
37. 37.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
38. 38.Which of these is good for training a model? (a) only one kind of example (b) checking labels twice (c) blurry, unclear photos (d) copies of one photo
39. 39.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
40. 40.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias

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