AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 909 · 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.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
2. 2.True or false: “add varied examples” adds to bias. (a) False (b) True
3. 3.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
4. 4.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
5. 5.🔍 Which is the odd one out? (a) blurry, unclear photos (b) labels added at random (c) examples of every type (d) very few examples
6. 6.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
7. 7.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it has a screen (c) it uses electricity (d) it learns from examples
8. 8.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
9. 9.Which of these uses AI? (a) a fan regulator (b) a light switch (c) a map predicting traffic (d) a kitchen weighing scale
10. 10.True or false: an online shop showing “you may also like” is AI recommending something. (a) True (b) False
11. 11.✍️ How does an AI chatbot write its replies? (a) asks a person (b) predicts likely words (c) uses magic (d) copies one website
12. 12.Which of these describes how a normal program works? (a) never learns from data (b) improves with more data (c) learns from examples (d) spots patterns in data
13. 13.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
14. 14.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
15. 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) sorting photos by face (c) inventing a recipe (d) making up a story
16. 16.🔍 Which is the odd one out? (a) face unlock on a phone (b) a calculator (c) a torch (d) a fan regulator
17. 17.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) add varied examples (d) add more of the same
18. 18.Which of these adds to bias? (a) use one group only (b) check who is missing (c) fix wrong labels (d) add varied examples
19. 19.🔍 Which is the odd one out? (a) an AI chatbot (b) a voice assistant (c) a printed timetable (d) voice typing
20. 20.True or false: “AI can make up facts” is a fact about AI. (a) True (b) False
21. 21.True or false: “labels added at random” is bad for training a model. (a) False (b) True
22. 22.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) predicting (c) recommending (d) recognising
23. 23.True or false: “add more of the same” adds to bias. (a) True (b) False
24. 24.🔍 Which is the odd one out? (a) spotting a sick leaf (b) suggesting a video (c) unlocking with a face (d) composing a new tune
25. 25.📱 What is the AI doing here: an online shop showing “you may also like”? (a) recommending (b) predicting (c) recognising (d) generating
26. 26.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
27. 27.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
28. 28.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
29. 29.Which of these is a fact about AI? (a) AI knows everything (b) AI always checks facts (c) long answers are true (d) AI copies data patterns
30. 30.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the font size (c) the price (d) a sticker on a laptop
31. 31.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) app installer (d) artificial intelligence
32. 32.🔍 Which is the odd one out? (a) writing a new poem (b) spotting spam (c) drafting a letter (d) creating a cartoon
33. 33.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) one single photo (d) many labelled photos
34. 34.Which of these is generative AI (it makes something new)? (a) reading number plates (b) composing a new tune (c) suggesting a video (d) spotting spam
35. 35.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
36. 36.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
37. 37.True or false: “use one group only” helps reduce bias. (a) False (b) True
38. 38.True or false: “checking labels twice” is good for training a model. (a) True (b) False
39. 39.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
40. 40.Which of these describes how AI works? (a) never learns from data (b) spots patterns in data (c) follows fixed rules (d) one set rule per case

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