AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 498 · 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.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) predicting (c) recognising (d) generating
2. 2.True or false: “a summary of chapter 3” asks for music or sound. (a) True (b) False
3. 3.✨ What does generative AI do? (a) makes new content (b) charges batteries (c) only stores files (d) only adds numbers
4. 4.True or false: “it has a neat layout” is a real way to check an AI answer. (a) False (b) True
5. 5.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) text (b) music or sound (c) an image
6. 6.True or false: “correct labels” is good for training a model. (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) blurry, unclear photos (d) examples of every type
8. 8.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
9. 9.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) 500 labelled leaf photos (d) naming a new leaf
10. 10.True or false: finding 10% of a price needs AI that learns from examples. (a) False (b) True
11. 11.True or false: “use one group only” adds to bias. (a) True (b) False
12. 12.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) music or sound (b) text (c) an image
13. 13.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
14. 14.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
15. 15.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
16. 16.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
17. 17.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
18. 18.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
19. 19.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
21. 21.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
22. 22.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
23. 23.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
24. 24.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) check it on paper (c) never do maths (d) ask it to hurry
25. 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
26. 26.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) drawing a new picture (c) drafting a letter (d) predicting rain
27. 27.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
28. 28.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) suggesting a video (c) spotting spam (d) inventing a recipe
29. 29.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
30. 30.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) flagging a new email (d) what training builds
31. 31.True or false: an image generator drawing a robot from a sentence is AI recognising something. (a) True (b) False
32. 32.True or false: a video app suggesting what to watch next is AI recommending something. (a) False (b) True
33. 33.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
34. 34.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
35. 35.True or false: “fix wrong labels” adds to bias. (a) True (b) False
36. 36.True or false: turning spoken words into typed text needs AI that learns from examples. (a) True (b) False
37. 37.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
38. 38.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
39. 39.True or false: “long answers are true” is a myth about AI. (a) False (b) True
40. 40.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image

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