AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 962 · 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) add more of the same (b) ask different people (c) test on one group only (d) use one group only
2. 2.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
3. 3.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) app installer (d) actual information
4. 4.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) charges batteries (d) makes new content
5. 5.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
6. 6.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
7. 7.Which of these is not AI? (a) an AI chatbot (b) photos grouped by face (c) a digital watch (d) an app translating signs
8. 8.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
9. 9.True or false: “improves with more data” describes how AI works. (a) True (b) False
10. 10.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
11. 11.True or false: “handles unseen examples” describes how AI works. (a) False (b) True
12. 12.Which of these describes how a normal program works? (a) does exactly as coded (b) learns from examples (c) spots patterns in data (d) makes a best guess
13. 13.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
14. 14.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
16. 16.True or false: “a cheerful tune for Sports Day” asks for an image. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) a spam filter (b) a light switch (c) a voice assistant (d) face unlock on a phone
18. 18.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) test on many groups (d) ask different people
19. 19.Which of these is the model? (a) tomorrow’s rain guess (b) recorded spoken words (c) what training builds (d) typing a new spoken word
20. 20.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
21. 21.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) share it online (c) stop studying (d) trust the AI
22. 22.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
23. 23.True or false: “five quiz questions on fractions” asks for an image. (a) True (b) False
24. 24.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
25. 25.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) music or sound (c) an image
26. 26.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) inventing a recipe (c) predicting rain (d) spotting spam
27. 27.Which of these is good for training a model? (a) labels added at random (b) wrong labels (c) very few examples (d) clear, sharp examples
28. 28.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
29. 29.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
30. 30.🔍 Which is the odd one out? (a) many varied examples (b) new data for testing (c) examples of every type (d) labels added at random
31. 31.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
32. 32.True or false: “examples of every type” is good for training a model. (a) True (b) False
33. 33.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
34. 34.Which of these describes how a normal program works? (a) handles unseen examples (b) follows fixed rules (c) learns from examples (d) gives a likely answer
35. 35.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) recognising (c) generating (d) recommending
36. 36.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
37. 37.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
38. 38.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) learns from examples (d) follows fixed rules
39. 39.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
40. 40.True or false: showing the time on a clock only needs a simple fixed rule. (a) True (b) False

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