AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 310 · 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 is a myth about AI? (a) AI learns from data (b) AI copies data patterns (c) confident means correct (d) AI answers need checking
2. 2.Which of these is a myth about AI? (a) AI answers need checking (b) AI copies data patterns (c) AI can be wrong (d) AI has real feelings
3. 3.Which of these is good for training a model? (a) many varied examples (b) only one kind of example (c) testing on training data (d) wrong labels
4. 4.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) no, it follows rules (d) only at night
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
6. 6.Which of these uses AI? (a) a calculator (b) a printed timetable (c) video suggestions (d) a fan regulator
7. 7.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
8. 8.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) False (b) True
9. 9.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) add more of the same (d) use one group only
10. 10.Which of these describes how AI works? (a) never learns from data (b) gives a likely answer (c) follows fixed rules (d) same steps every time
11. 11.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
12. 12.Which of these describes how AI works? (a) spots patterns in data (b) follows fixed rules (c) one set rule per case (d) uses rules people wrote
13. 13.📱 What is the AI doing here: a keyboard guessing your next word? (a) predicting (b) recognising (c) generating (d) recommending
14. 14.Which of these uses AI? (a) a kitchen weighing scale (b) an app translating signs (c) a digital watch (d) a microwave timer
15. 15.Which of these describes how AI works? (a) same steps every time (b) one set rule per case (c) does exactly as coded (d) learns from examples
16. 16.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) cooking (d) recommending
17. 17.True or false: “a soft lullaby melody” asks for music or sound. (a) True (b) False
18. 18.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
19. 19.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) ignore complaints (b) check who is missing (c) skip testing (d) use one group only
21. 21.Which of these is a fact about AI? (a) AI has real feelings (b) AI learns from data (c) long answers are true (d) AI is never wrong
22. 22.True or false: “add varied examples” helps reduce bias. (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) drawing a new picture (b) spotting a sick leaf (c) turning speech to text (d) unlocking with a face
24. 24.🤖 What does AI stand for? (a) artificial intelligence (b) actual information (c) app installer (d) automatic internet
25. 25.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) copies one website (c) uses magic (d) asks a person
26. 26.True or false: “examples of every type” is bad for training a model. (a) False (b) True
27. 27.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
28. 28.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
29. 29.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.🏠 AI or not AI: video suggestions? (a) not AI (b) uses AI
31. 31.🔍 Which is the odd one out? (a) a light switch (b) an AI chatbot (c) a torch (d) a fan regulator
32. 32.True or false: “labels added at random” is bad for training a model. (a) True (b) False
33. 33.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
34. 34.True or false: “learns from examples” describes how AI works. (a) True (b) False
35. 35.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) stop studying (c) share it online (d) trust the textbook
36. 36.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the price (d) the right answer tag
37. 37.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
38. 38.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
39. 39.True or false: an online shop showing “you may also like” is AI recognising something. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program

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