AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 829 · 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.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
2. 2.🛠️ Which does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
4. 4.Which of these is training data? (a) what training builds (b) flagging a new email (c) the learned patterns (d) past weather records
5. 5.🔍 Which is the odd one out? (a) writing quiz questions (b) drafting a letter (c) sorting photos by face (d) writing a new poem
6. 6.Which of these is the model? (a) past weather records (b) naming a new fruit photo (c) what training builds (d) tomorrow’s rain guess
7. 7.Which of these is bad for training a model? (a) examples of every type (b) labels added at random (c) correct labels (d) clear, sharp examples
8. 8.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
9. 9.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) False (b) True
10. 10.Which of these uses AI? (a) a calculator (b) photos grouped by face (c) a printed timetable (d) a digital watch
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
12. 12.✍️ How does an AI chatbot write its replies? (a) copies one website (b) uses magic (c) asks a person (d) predicts likely words
13. 13.Which of these uses AI? (a) a torch (b) video suggestions (c) a printed timetable (d) a microwave timer
14. 14.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI is never wrong (c) AI can be wrong (d) AI can mix up numbers
15. 15.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
17. 17.True or false: “learns from examples” describes how AI works. (a) False (b) True
18. 18.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) yes, it can think (d) no, it follows rules
19. 19.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
20. 20.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) slower to switch on (d) change colour
21. 21.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
22. 22.True or false: “typing a new spoken word” is the model. (a) False (b) True
23. 23.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
24. 24.🔍 Which is the odd one out? (a) face unlock on a phone (b) a voice assistant (c) photos grouped by face (d) a torch
25. 25.True or false: “what training builds” is the model. (a) False (b) True
26. 26.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
27. 27.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
28. 28.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) nobody at all (d) people
29. 29.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
30. 30.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) add varied examples (d) skip testing
31. 31.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) skip testing (d) add varied examples
32. 32.Which of these is a prediction? (a) naming a new fruit photo (b) recorded spoken words (c) the trained program (d) old emails marked spam
33. 33.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
34. 34.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
35. 35.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
36. 36.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
37. 37.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) no, it finds patterns (d) only on weekends
38. 38.True or false: “handles unseen examples” describes how AI works. (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) ask different people (d) test on one group only
40. 40.Which of these describes how a normal program works? (a) handles unseen examples (b) uses rules people wrote (c) spots patterns in data (d) makes a best guess

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