AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 942 · 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.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
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 is the odd one out? (a) new data for testing (b) testing on training data (c) wrong labels (d) labels added at random
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
5. 5.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI answers need checking (d) AI knows everything
6. 6.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) only at night (c) yes, it can think (d) yes, it is smart
7. 7.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
8. 8.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) no, it finds patterns (c) yes, it gets sad (d) yes, just like us
9. 9.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) reading number plates (c) predicting rain (d) composing a new tune
10. 10.True or false: “a thank-you note to the bus driver” asks for music or sound. (a) True (b) False
11. 11.Which of these is good for training a model? (a) blurry, unclear photos (b) correct labels (c) wrong labels (d) copies of one photo
12. 12.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
13. 13.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
15. 15.True or false: converting metres into centimetres only needs a simple fixed rule. (a) True (b) False
16. 16.Which of these describes how a normal program works? (a) does exactly as coded (b) improves with more data (c) spots patterns in data (d) gives a likely answer
17. 17.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
18. 18.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) skip testing (d) use one group only
19. 19.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
20. 20.Which of these is a fact about AI? (a) AI always checks facts (b) AI answers need checking (c) AI has real feelings (d) confident means correct
21. 21.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
23. 23.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
24. 24.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
25. 25.🔍 Which is the odd one out? (a) an image generator (b) a kitchen weighing scale (c) face unlock on a phone (d) an AI chatbot
26. 26.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
27. 27.Which of these is not AI? (a) a stopwatch (b) video suggestions (c) face unlock on a phone (d) an app translating signs
28. 28.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) creating a cartoon (c) drawing a new picture (d) predicting rain
29. 29.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) labelled fruit photos (d) flagging a new email
30. 30.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) reading number plates (c) inventing a recipe (d) drawing a new picture
31. 31.True or false: “AI has real feelings” is a myth about AI. (a) True (b) False
32. 32.🔍 Which is the odd one out? (a) making up a story (b) suggesting a video (c) drafting a letter (d) drawing a new picture
33. 33.True or false: a camera app naming the flower you point at is AI generating something new. (a) True (b) False
34. 34.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a phone number (d) a text description
35. 35.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) True (b) False
36. 36.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) a sticker on a laptop (d) the font size
37. 37.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
38. 38.Which of these is good for training a model? (a) blurry, unclear photos (b) wrong labels (c) many varied examples (d) copies of one photo
39. 39.Which of these describes how AI works? (a) learns from examples (b) follows fixed rules (c) one set rule per case (d) same steps every time
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam

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