AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 281 · 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) sorting photos by face (b) making up a story (c) writing a new poem (d) composing a new tune
2. 2.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) improves with more data (d) does exactly as coded
3. 3.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
4. 4.True or false: “correct labels” is bad for training a model. (a) False (b) True
5. 5.Which of these is good for training a model? (a) checking labels twice (b) very few examples (c) labels added at random (d) blurry, unclear photos
6. 6.Which of these is a fact about AI? (a) AI can be wrong (b) AI always checks facts (c) AI is never wrong (d) confident means correct
7. 7.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) test on many groups (d) add varied examples
8. 8.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) asks a person (c) uses magic (d) copies one website
9. 9.🧮 Which of these is NOT AI? (a) a spam filter (b) voice typing (c) face unlock (d) a basic calculator
10. 10.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
11. 11.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
13. 13.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
14. 14.True or false: “handles unseen examples” describes how AI works. (a) False (b) True
15. 15.True or false: “typing a new spoken word” is training data. (a) True (b) False
16. 16.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) music or sound (c) an image
17. 17.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) copy old unfair choices (d) add varied examples
18. 18.True or false: “rain sound effects for a play” asks for music or sound. (a) False (b) True
19. 19.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
20. 20.Which of these describes how a normal program works? (a) spots patterns in data (b) never learns from data (c) makes a best guess (d) gives a likely answer
21. 21.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) blurry, unclear photos (d) examples of every type
22. 22.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
23. 23.🔍 Which is the odd one out? (a) a spam filter (b) a voice assistant (c) photos grouped by face (d) a torch
24. 24.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
25. 25.✨ What does generative AI do? (a) only adds numbers (b) charges batteries (c) makes new content (d) only stores files
26. 26.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
27. 27.Which of these is a myth about AI? (a) AI always checks facts (b) AI can be wrong (c) AI learns from data (d) AI answers need checking
28. 28.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) tomorrow’s rain guess (d) past weather records
29. 29.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
31. 31.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it may get it wrong (d) it will turn yellow
32. 32.Which of these is not AI? (a) an image generator (b) a kitchen weighing scale (c) voice typing (d) an app translating signs
33. 33.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) generating (c) recognising (d) recommending
34. 34.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
35. 35.🔍 Which is the odd one out? (a) a doorbell (b) video suggestions (c) face unlock on a phone (d) a map predicting traffic
36. 36.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) testing on training data (d) correct labels
37. 37.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
38. 38.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
39. 39.True or false: “naming a new fruit photo” is training data. (a) False (b) True
40. 40.🔍 Which is the odd one out? (a) a microwave timer (b) a torch (c) a printed timetable (d) a voice assistant

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