AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 666 · 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 “makes a best guess”? (a) AI (b) a normal program
2. 2.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) composing a new tune (c) spotting a sick leaf (d) making up a story
3. 3.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
4. 4.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
5. 5.🤖 What does AI stand for? (a) actual information (b) app installer (c) artificial intelligence (d) automatic internet
6. 6.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
7. 7.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) writing a new poem (b) making up a story (c) composing a new tune (d) reading number plates
9. 9.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
10. 10.True or false: “what training builds” is the model. (a) False (b) True
11. 11.Which of these adds to bias? (a) test on many groups (b) balance the data (c) skip testing (d) add varied examples
12. 12.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) sleeping (c) singing (d) drawing
13. 13.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
14. 14.Which of these adds to bias? (a) add more of the same (b) ask different people (c) check who is missing (d) add varied examples
15. 15.Which of these helps reduce bias? (a) balance the data (b) skip testing (c) ignore complaints (d) copy old unfair choices
16. 16.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) sorting photos by face (c) spotting a sick leaf (d) inventing a recipe
17. 17.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) add varied examples (d) use one group only
18. 18.Which of these uses AI? (a) a torch (b) a digital watch (c) a kitchen weighing scale (d) voice typing
19. 19.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
20. 20.🥭 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
21. 21.True or false: “follows fixed rules” describes how a normal program works. (a) True (b) False
22. 22.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) what training builds (d) labelled fruit photos
23. 23.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
24. 24.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
25. 25.🔍 Which is the odd one out? (a) an app translating signs (b) a doorbell (c) a light switch (d) a digital watch
26. 26.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) copy old unfair choices (d) test on many groups
27. 27.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
28. 28.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
29. 29.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
30. 30.Which of these is the model? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) what training builds (d) recorded spoken words
31. 31.🔍 Which is the odd one out? (a) a doorbell (b) a light switch (c) a digital watch (d) a voice assistant
32. 32.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
33. 33.Which of these is a fact about AI? (a) confident means correct (b) long answers are true (c) AI can make up facts (d) AI is never wrong
34. 34.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
35. 35.Which of these is a prediction? (a) the trained program (b) tomorrow’s rain guess (c) old emails marked spam (d) what training builds
36. 36.Which of these uses AI? (a) a calculator (b) a microwave timer (c) a spam filter (d) a fan regulator
37. 37.✍️ How does an AI chatbot write its replies? (a) asks a person (b) copies one website (c) predicts likely words (d) uses magic
38. 38.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
40. 40.🔍 Which is the odd one out? (a) new data for testing (b) very few examples (c) labels added at random (d) wrong labels

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