AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 739 · 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.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) predicting (c) sleeping (d) drawing
2. 2.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it may get it wrong (d) it will shut down
3. 3.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) fix wrong labels (d) use one group only
4. 4.True or false: a keyboard guessing your next word is AI predicting something. (a) False (b) True
5. 5.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
6. 6.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) music or sound (c) an image
7. 7.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
8. 8.True or false: an AI tool making a brand-new tune is AI generating something new. (a) True (b) False
9. 9.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) predicting (b) recommending (c) generating (d) recognising
10. 10.Which of these is generative AI (it makes something new)? (a) predicting rain (b) spotting spam (c) sorting photos by face (d) making up a story
11. 11.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) labels added at random (d) many varied examples
12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
13. 13.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
15. 15.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
16. 16.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
17. 17.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) labelled fruit photos (d) past weather records
18. 18.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) music or sound (b) text (c) an image
19. 19.🔍 Which is the odd one out? (a) turning speech to text (b) spotting spam (c) sorting photos by face (d) writing quiz questions
20. 20.True or false: “recorded spoken words” is training data. (a) False (b) True
21. 21.Which of these is not AI? (a) a spam filter (b) a kitchen weighing scale (c) a map predicting traffic (d) an AI chatbot
22. 22.True or false: “the trained program” is a prediction. (a) False (b) True
23. 23.Which of these is not AI? (a) video suggestions (b) an AI chatbot (c) face unlock on a phone (d) a microwave timer
24. 24.🔍 Which is the odd one out? (a) turning speech to text (b) creating a cartoon (c) writing a new poem (d) drawing a new picture
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
26. 26.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) test on many groups (d) use one group only
27. 27.Which of these is a fact about AI? (a) AI answers need checking (b) AI knows everything (c) AI always checks facts (d) long answers are true
28. 28.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it uses electricity (c) it learns from examples (d) it is always right
29. 29.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
30. 30.Which of these describes how AI works? (a) does exactly as coded (b) uses rules people wrote (c) follows fixed rules (d) improves with more data
31. 31.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
32. 32.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
33. 33.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
34. 34.True or false: “long answers are true” is a myth about AI. (a) True (b) False
35. 35.True or false: “a poster of a rainforest” asks for an image. (a) False (b) True
36. 36.Which of these is good for training a model? (a) blurry, unclear photos (b) very few examples (c) labels added at random (d) checking labels twice
37. 37.🤖 Who builds and trains AI systems? (a) the weather (b) people (c) the Moon (d) nobody at all
38. 38.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
39. 39.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
40. 40.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False

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