AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 286 · 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.🎨 An image generator makes a picture from… (a) a text description (b) a phone number (c) the weather (d) your password
2. 2.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) new data for testing (d) testing on training data
3. 3.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
4. 4.🔍 Which is the odd one out? (a) voice typing (b) an AI chatbot (c) photos grouped by face (d) a stopwatch
5. 5.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
6. 6.True or false: “recorded spoken words” is a prediction. (a) True (b) False
7. 7.True or false: “rain sound effects for a play” asks for text. (a) True (b) False
8. 8.True or false: “checking labels twice” is good for training a model. (a) True (b) False
9. 9.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) 500 labelled leaf photos (d) tomorrow’s rain guess
10. 10.Which of these helps reduce bias? (a) check who is missing (b) test on one group only (c) copy old unfair choices (d) skip testing
11. 11.Which of these describes how AI works? (a) learns from examples (b) never learns from data (c) uses rules people wrote (d) one set rule per case
12. 12.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
13. 13.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) music or sound (c) text
14. 14.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a backup (c) a password (d) a hallucination
15. 15.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) an app translating signs (c) a torch (d) a microwave timer
16. 16.✨ What does generative AI do? (a) only adds numbers (b) charges batteries (c) makes new content (d) only stores files
17. 17.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
18. 18.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it is smart (c) yes, it can think (d) no, it follows rules
19. 19.True or false: “balance the data” helps reduce bias. (a) True (b) False
20. 20.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
21. 21.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
22. 22.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
24. 24.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
25. 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
26. 26.True or false: “AI learns from data” is a myth about AI. (a) False (b) True
27. 27.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
28. 28.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) cooking (d) recommending
29. 29.Which of these describes how AI works? (a) same steps every time (b) uses rules people wrote (c) does exactly as coded (d) gives a likely answer
30. 30.🛠️ Which does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
31. 31.🔍 Which is the odd one out? (a) spotting spam (b) inventing a recipe (c) writing a new poem (d) making up a story
32. 32.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) labelled fruit photos (d) recorded spoken words
33. 33.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) only on weekends (c) yes, it gets sad (d) no, it finds patterns
34. 34.Which of these describes how AI works? (a) one set rule per case (b) spots patterns in data (c) follows fixed rules (d) same steps every time
35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
36. 36.Which of these is training data? (a) recorded spoken words (b) the trained program (c) naming a new leaf (d) what training builds
37. 37.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
38. 38.🧪 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
39. 39.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) the trained program (d) flagging a new email
40. 40.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias

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