AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 651 · 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 bad for training a model? (a) new data for testing (b) testing on training data (c) checking labels twice (d) correct labels
2. 2.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
3. 3.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) a basic calculator (d) face unlock
4. 4.Which of these adds to bias? (a) add varied examples (b) copy old unfair choices (c) check who is missing (d) test on many groups
5. 5.True or false: “what training builds” is a prediction. (a) False (b) True
6. 6.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
7. 7.Which of these is good for training a model? (a) copies of one photo (b) many varied examples (c) testing on training data (d) only one kind of example
8. 8.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
10. 10.Which of these is not AI? (a) an image generator (b) a voice assistant (c) a digital watch (d) voice typing
11. 11.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
13. 13.🔍 Which is the odd one out? (a) writing a new poem (b) writing quiz questions (c) spotting spam (d) composing a new tune
14. 14.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
15. 15.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
16. 16.True or false: “what training builds” is training data. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
18. 18.Which of these is bad for training a model? (a) checking labels twice (b) only one kind of example (c) photos in many lights (d) examples of every type
19. 19.Which of these describes how AI works? (a) uses rules people wrote (b) follows fixed rules (c) never learns from data (d) makes a best guess
20. 20.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) drawing (c) singing (d) predicting
21. 21.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) app installer (d) actual information
22. 22.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) past weather records (d) what training builds
23. 23.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.True or false: “makes a best guess” describes how AI works. (a) True (b) False
25. 25.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) unlocking with a face (c) composing a new tune (d) spotting a sick leaf
26. 26.Which of these is a fact about AI? (a) long answers are true (b) AI can mix up numbers (c) AI is never wrong (d) AI knows everything
27. 27.Which of these is the model? (a) flagging a new email (b) the trained program (c) naming a new leaf (d) labelled fruit photos
28. 28.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
29. 29.True or false: “a logo idea for the eco club” asks for an image. (a) False (b) True
30. 30.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
31. 31.True or false: “a picture of a castle made of mangoes” asks for music or sound. (a) True (b) False
32. 32.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) blurry, unclear photos (b) copies of one photo (c) correct labels (d) labels added at random
34. 34.True or false: “a cheerful tune for Sports Day” asks for text. (a) False (b) True
35. 35.📱 What is the AI doing here: an online shop showing “you may also like”? (a) recommending (b) generating (c) recognising (d) predicting
36. 36.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) skip testing (d) balance the data
37. 37.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
38. 38.Which of these adds to bias? (a) balance the data (b) check who is missing (c) add varied examples (d) test on one group only
39. 39.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) False (b) True
40. 40.🏷️ 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

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