AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 274 · 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) a calculator (b) a spam filter (c) a light switch (d) a doorbell
2. 2.Which of these uses AI? (a) face unlock on a phone (b) a printed timetable (c) a digital watch (d) a microwave timer
3. 3.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
4. 4.Which of these uses AI? (a) a light switch (b) a torch (c) a map predicting traffic (d) a doorbell
5. 5.🤖 What does AI stand for? (a) app installer (b) actual information (c) automatic internet (d) artificial intelligence
6. 6.Which of these describes how AI works? (a) one set rule per case (b) never learns from data (c) improves with more data (d) does exactly as coded
7. 7.🎨 An image generator makes a picture from… (a) a phone number (b) a text description (c) your password (d) the weather
8. 8.True or false: “makes a best guess” describes how AI works. (a) False (b) True
9. 9.Which of these describes how AI works? (a) one set rule per case (b) handles unseen examples (c) same steps every time (d) uses rules people wrote
10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
11. 11.True or false: “testing on training data” is good for training a model. (a) True (b) False
12. 12.Which of these describes how a normal program works? (a) learns from examples (b) improves with more data (c) does exactly as coded (d) spots patterns in data
13. 13.Which of these helps reduce bias? (a) skip testing (b) add varied examples (c) copy old unfair choices (d) use one group only
14. 14.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
15. 15.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) trust the textbook (c) stop studying (d) share it online
16. 16.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
18. 18.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
19. 19.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) AI can be wrong (b) AI learns from data (c) AI answers need checking (d) AI always checks facts
21. 21.Which of these describes how AI works? (a) follows fixed rules (b) never learns from data (c) spots patterns in data (d) same steps every time
22. 22.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
23. 23.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
25. 25.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) add varied examples (d) check who is missing
26. 26.True or false: “AI knows everything” is a myth about AI. (a) False (b) True
27. 27.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
28. 28.✨ Is everything a generative AI makes true? (a) only on Mondays (b) no, it can be wrong (c) yes, always
29. 29.🔍 Which is the odd one out? (a) only one kind of example (b) examples of every type (c) correct labels (d) checking labels twice
30. 30.✨ What does generative AI do? (a) only adds numbers (b) charges batteries (c) only stores files (d) makes new content
31. 31.True or false: “correct labels” is bad for training a model. (a) True (b) False
32. 32.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
33. 33.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
34. 34.True or false: “very few examples” is good for training a model. (a) True (b) False
35. 35.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) copy it straight away (c) check it on paper (d) ask it to hurry
36. 36.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
37. 37.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
38. 38.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
39. 39.True or false: “a soft lullaby melody” asks for text. (a) True (b) False
40. 40.Which of these uses AI? (a) a calculator (b) a torch (c) an image generator (d) a kitchen weighing scale

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