AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 255 · 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) drafting a letter (b) composing a new tune (c) unlocking with a face (d) writing a new poem
2. 2.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) drawing a new picture (c) inventing a recipe (d) suggesting a video
3. 3.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
4. 4.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) fix wrong labels (d) copy old unfair choices
5. 5.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
6. 6.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
7. 7.True or false: “AI learns from data” is a fact about AI. (a) False (b) True
8. 8.✅ Is this a real check of an AI answer: asking the same AI again? (a) a real check (b) not a real check
9. 9.Which of these describes how a normal program works? (a) spots patterns in data (b) uses rules people wrote (c) improves with more data (d) learns from examples
10. 10.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) test on many groups (d) ignore complaints
11. 11.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
12. 12.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
13. 13.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
14. 14.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it is always right (c) it uses electricity (d) it has a screen
15. 15.🔍 Which is the odd one out? (a) new data for testing (b) only one kind of example (c) very few examples (d) wrong labels
16. 16.🔍 Which is the odd one out? (a) new data for testing (b) clear, sharp examples (c) photos in many lights (d) very few examples
17. 17.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
18. 18.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
19. 19.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
20. 20.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
21. 21.🔍 Which is the odd one out? (a) writing a new poem (b) spotting spam (c) predicting rain (d) spotting a sick leaf
22. 22.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
24. 24.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
26. 26.Which of these is not AI? (a) video suggestions (b) an image generator (c) a spam filter (d) a printed timetable
27. 27.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI answers need checking (c) AI is never wrong (d) AI learns from data
28. 28.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
29. 29.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) predicting (c) recognising (d) recommending
30. 30.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
31. 31.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
32. 32.Which of these uses AI? (a) a kitchen weighing scale (b) a voice assistant (c) a fan regulator (d) a microwave timer
33. 33.🔍 Which is the odd one out? (a) voice typing (b) a stopwatch (c) a microwave timer (d) a printed timetable
34. 34.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
35. 35.🔍 Which is the odd one out? (a) a doorbell (b) an app translating signs (c) voice typing (d) a voice assistant
36. 36.✍️ How does an AI chatbot write its replies? (a) copies one website (b) predicts likely words (c) uses magic (d) asks a person
37. 37.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
38. 38.Which of these is bad for training a model? (a) photos in many lights (b) labels added at random (c) correct labels (d) many varied examples
39. 39.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) ignore complaints (d) add more of the same
40. 40.Which of these is bad for training a model? (a) clear, sharp examples (b) many varied examples (c) checking labels twice (d) wrong labels

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