AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 999 · 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.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
2. 2.Which of these is AI that sorts, spots or predicts (not generative)? (a) turning speech to text (b) drawing a new picture (c) drafting a letter (d) writing a new poem
3. 3.Which of these is the model? (a) naming a new leaf (b) naming a new fruit photo (c) what training builds (d) recorded spoken words
4. 4.🔍 Which is the odd one out? (a) a fan regulator (b) an AI chatbot (c) an image generator (d) photos grouped by face
5. 5.True or false: an image generator drawing a robot from a sentence is AI recommending something. (a) False (b) True
6. 6.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it may get it wrong (d) it will be perfect
7. 7.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
8. 8.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
9. 9.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
10. 10.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
11. 11.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
12. 12.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) turning speech to text (c) spotting spam (d) writing quiz questions
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: “gives a likely answer” describes how a normal program works. (a) False (b) True
15. 15.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
16. 16.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
17. 17.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) naming a new fruit photo (d) the trained program
18. 18.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
19. 19.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) creating a cartoon (c) making up a story (d) suggesting a video
20. 20.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
21. 21.True or false: “AI always checks facts” is a fact about AI. (a) True (b) False
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
23. 23.True or false: “new data for testing” is good for training a model. (a) False (b) True
24. 24.Which of these describes how AI works? (a) same steps every time (b) uses rules people wrote (c) never learns from data (d) spots patterns in data
25. 25.True or false: sorting names in A to Z order needs AI that learns from examples. (a) True (b) False
26. 26.Which of these uses AI? (a) a torch (b) a doorbell (c) an AI chatbot (d) a stopwatch
27. 27.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) print pages (d) clean screens
28. 28.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
29. 29.True or false: “AI copies data patterns” is a myth about AI. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) add varied examples (d) balance the data
31. 31.Which of these helps reduce bias? (a) test on many groups (b) test on one group only (c) add more of the same (d) skip testing
32. 32.True or false: “test on many groups” adds to bias. (a) False (b) True
33. 33.🏷️ 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
34. 34.True or false: “learns from examples” describes how AI works. (a) True (b) False
35. 35.Which of these uses AI? (a) a light switch (b) an image generator (c) a fan regulator (d) a digital watch
36. 36.Which of these is a fact about AI? (a) AI answers need checking (b) AI knows everything (c) AI always checks facts (d) AI is never wrong
37. 37.🔍 Which is the odd one out? (a) voice typing (b) an app translating signs (c) a map predicting traffic (d) a printed timetable
38. 38.Which of these describes how a normal program works? (a) uses rules people wrote (b) gives a likely answer (c) handles unseen examples (d) learns from examples
39. 39.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
40. 40.🔍 Which is the odd one out? (a) sorting photos by face (b) unlocking with a face (c) drafting a letter (d) turning speech to text

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