AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 982 · 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.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
2. 2.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) False (b) True
3. 3.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) add more of the same (d) balance the data
4. 4.✨ What does generative AI do? (a) only stores files (b) makes new content (c) charges batteries (d) only adds numbers
5. 5.True or false: “confident means correct” is a fact about AI. (a) True (b) False
6. 6.True or false: “find a trusted source” is a real way to check an AI answer. (a) True (b) False
7. 7.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
9. 9.Which of these is bad for training a model? (a) examples of every type (b) checking labels twice (c) wrong labels (d) photos in many lights
10. 10.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
11. 11.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the right answer tag (d) the price
12. 12.True or false: a shop guessing how many umbrellas will sell is AI recommending something. (a) False (b) True
13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
14. 14.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
15. 15.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
16. 16.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) cooking (c) charging (d) printing
17. 17.True or false: reading messy handwriting needs AI that learns from examples. (a) True (b) False
18. 18.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
19. 19.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
20. 20.True or false: “check who is missing” adds to bias. (a) True (b) False
21. 21.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
22. 22.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
24. 24.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
25. 25.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
26. 26.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) text (c) an image
27. 27.True or false: “a logo idea for the eco club” asks for music or sound. (a) True (b) False
28. 28.Which of these describes how a normal program works? (a) does exactly as coded (b) improves with more data (c) learns from examples (d) handles unseen examples
29. 29.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it may get it wrong (d) it will turn yellow
30. 30.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
31. 31.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) an image (b) music or sound (c) text
32. 32.🔍 Which is the odd one out? (a) long answers are true (b) AI can make up facts (c) AI can mix up numbers (d) AI answers need checking
33. 33.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
34. 34.True or false: “labelled fruit photos” is training data. (a) False (b) True
35. 35.Which of these is generative AI (it makes something new)? (a) predicting rain (b) writing a new poem (c) spotting a sick leaf (d) spotting spam
36. 36.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
37. 37.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) drawing a new picture (b) writing quiz questions (c) creating a cartoon (d) spotting a sick leaf
39. 39.🔍 Which is the odd one out? (a) AI is never wrong (b) AI has real feelings (c) confident means correct (d) AI answers need checking
40. 40.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new

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