AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 480 · 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) does exactly as coded (b) uses rules people wrote (c) never learns from data (d) learns from examples
2. 2.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
3. 3.🔍 Which is the odd one out? (a) spotting a sick leaf (b) writing quiz questions (c) making up a story (d) drawing a new picture
4. 4.True or false: finding 10% of a price only needs a simple fixed rule. (a) False (b) True
5. 5.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
7. 7.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) drawing a new picture (c) turning speech to text (d) spotting a sick leaf
8. 8.📱 What is the AI doing here: an online shop showing “you may also like”? (a) recognising (b) recommending (c) predicting (d) generating
9. 9.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) balance the data (d) skip testing
10. 10.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
11. 11.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
12. 12.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
13. 13.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) one set rule per case (d) handles unseen examples
14. 14.Which of these describes how a normal program works? (a) learns from examples (b) handles unseen examples (c) uses rules people wrote (d) gives a likely answer
15. 15.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) old emails marked spam (d) 500 labelled leaf photos
16. 16.🧮 Which of these is NOT AI? (a) voice typing (b) a basic calculator (c) face unlock (d) a spam filter
17. 17.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) an image (b) text (c) music or sound
18. 18.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
19. 19.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
20. 20.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
21. 21.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) False (b) True
22. 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) unlocking with a face (c) composing a new tune (d) making up a story
23. 23.Which of these adds to bias? (a) ask different people (b) check who is missing (c) add more of the same (d) fix wrong labels
24. 24.True or false: “what training builds” is training data. (a) False (b) True
25. 25.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
26. 26.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
27. 27.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
28. 28.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
29. 29.True or false: “labelled fruit photos” is training data. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
31. 31.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
32. 32.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
33. 33.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
34. 34.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) printing (d) recommending
35. 35.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
36. 36.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) tomorrow’s rain guess (d) naming a new fruit photo
37. 37.🏷️ 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
38. 38.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) app installer (d) artificial intelligence
39. 39.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) test on one group only (d) test on many groups
40. 40.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training

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