AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 622 · 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: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
2. 2.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) add varied examples (d) balance the data
3. 3.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) add more of the same (d) ask different people
4. 4.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
5. 5.True or false: “add varied examples” adds to bias. (a) False (b) True
6. 6.Which of these is generative AI (it makes something new)? (a) reading number plates (b) sorting photos by face (c) drafting a letter (d) suggesting a video
7. 7.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
8. 8.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
9. 9.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
11. 11.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) a sticker on a laptop (d) the font size
12. 12.True or false: “labelled fruit photos” is training data. (a) True (b) False
13. 13.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
14. 14.Which of these describes how a normal program works? (a) handles unseen examples (b) one set rule per case (c) makes a best guess (d) learns from examples
15. 15.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) the trained program (d) labelled fruit photos
16. 16.Which of these uses AI? (a) a stopwatch (b) a kitchen weighing scale (c) a calculator (d) voice typing
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
18. 18.🔍 Which is the odd one out? (a) a fan regulator (b) a map predicting traffic (c) a kitchen weighing scale (d) a stopwatch
19. 19.Which of these is not AI? (a) a map predicting traffic (b) a kitchen weighing scale (c) an AI chatbot (d) voice typing
20. 20.True or false: “labels added at random” is good for training a model. (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) video suggestions (b) an image generator (c) a torch (d) voice typing
22. 22.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
23. 23.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it is always right (d) it has a screen
24. 24.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) no, it finds patterns (c) yes, just like us (d) only on weekends
25. 25.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
26. 26.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) generating (c) predicting (d) recommending
27. 27.🏷️ 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
28. 28.True or false: “copies of one photo” is good for training a model. (a) False (b) True
29. 29.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) very few examples (d) many varied examples
30. 30.Which of these uses AI? (a) a calculator (b) a microwave timer (c) a digital watch (d) an image generator
31. 31.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
32. 32.True or false: “the learned patterns” is a prediction. (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) a doorbell (b) video suggestions (c) face unlock on a phone (d) a spam filter
34. 34.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
35. 35.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) uses magic (c) asks a person (d) copies one website
36. 36.🔍 Which is the odd one out? (a) AI learns from data (b) AI copies data patterns (c) long answers are true (d) AI can be wrong
37. 37.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
38. 38.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
39. 39.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
40. 40.True or false: a video app suggesting what to watch next is AI generating something new. (a) False (b) True

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