AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 442 · 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 not AI: voice typing? (a) uses AI (b) not AI
2. 2.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) text (b) an image (c) music or sound
3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
4. 4.True or false: a car camera reading a speed sign is AI recommending something. (a) False (b) True
5. 5.True or false: “a drum beat for a dance” asks for an image. (a) True (b) False
6. 6.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
8. 8.🔍 Which is the odd one out? (a) inventing a recipe (b) sorting photos by face (c) drawing a new picture (d) writing a new poem
9. 9.🛠️ Which does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
10. 10.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) test on one group only (d) add more of the same
11. 11.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
12. 12.True or false: “naming a new leaf” is a prediction. (a) False (b) True
13. 13.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it will turn yellow (d) it may get it wrong
14. 14.Which of these is the model? (a) labelled fruit photos (b) recorded spoken words (c) past weather records (d) the trained program
15. 15.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
16. 16.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
17. 17.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
19. 19.Which of these is generative AI (it makes something new)? (a) predicting rain (b) creating a cartoon (c) sorting photos by face (d) suggesting a video
20. 20.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
21. 21.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
22. 22.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) the trained program (d) typing a new spoken word
23. 23.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
25. 25.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) spotting a sick leaf (c) making up a story (d) reading number plates
26. 26.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
27. 27.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) a calculator (b) a kitchen weighing scale (c) video suggestions (d) a microwave timer
29. 29.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
30. 30.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
31. 31.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) generating (c) recognising (d) recommending
32. 32.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) fix wrong labels (d) test on many groups
33. 33.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
34. 34.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) face unlock on a phone (b) a light switch (c) a printed timetable (d) a digital watch
36. 36.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it learns from examples (d) it uses electricity
37. 37.True or false: “it answered quickly” is a real way to check an AI answer. (a) False (b) True
38. 38.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
39. 39.True or false: a car camera reading a speed sign is AI generating something new. (a) False (b) True
40. 40.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works

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