AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 582 · 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: “a thank-you note to the bus driver” asks for music or sound. (a) False (b) True
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
3. 3.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
4. 4.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it may get it wrong (d) it will be perfect
5. 5.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) generating (c) recommending (d) recognising
6. 6.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) never do maths (c) check it on paper (d) copy it straight away
7. 7.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) False (b) True
8. 8.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
9. 9.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
10. 10.🔍 Which is the odd one out? (a) sorting photos by face (b) unlocking with a face (c) creating a cartoon (d) spotting a sick leaf
11. 11.Which of these is not AI? (a) video suggestions (b) a kitchen weighing scale (c) an image generator (d) an AI chatbot
12. 12.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
13. 13.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
14. 14.🔍 Which is the odd one out? (a) checking labels twice (b) correct labels (c) examples of every type (d) copies of one photo
15. 15.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
16. 16.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
18. 18.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) old emails marked spam (d) tomorrow’s rain guess
19. 19.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) True (b) False
20. 20.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
21. 21.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
22. 22.🔍 Which is the odd one out? (a) suggesting a video (b) spotting spam (c) inventing a recipe (d) predicting rain
23. 23.Which of these is not AI? (a) face unlock on a phone (b) a light switch (c) a map predicting traffic (d) an AI chatbot
24. 24.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) test on one group only (d) use one group only
25. 25.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False
26. 26.True or false: “write a poem about the monsoon” asks for text. (a) False (b) True
27. 27.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
28. 28.Which of these describes how a normal program works? (a) spots patterns in data (b) gives a likely answer (c) makes a best guess (d) same steps every time
29. 29.Which of these describes how a normal program works? (a) improves with more data (b) makes a best guess (c) follows fixed rules (d) spots patterns in data
30. 30.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) asks a person (c) uses magic (d) copies one website
31. 31.True or false: a weather app guessing tomorrow’s rain is AI recognising something. (a) False (b) True
32. 32.Which of these is training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the learned patterns (d) flagging a new email
33. 33.Which of these adds to bias? (a) test on many groups (b) test on one group only (c) fix wrong labels (d) ask different people
34. 34.🎨 An image generator makes a picture from… (a) a phone number (b) a text description (c) the weather (d) your password
35. 35.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) past weather records (d) tomorrow’s rain guess
36. 36.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
37. 37.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) recommending (c) printing (d) cooking
38. 38.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
39. 39.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) False (b) True
40. 40.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI

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