Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 564 · 40 questions

AI tip (Show, label, learn): Machine learning learns patterns from many labelled examples — a label is the right answer tag on each example. Good for training: many varied examples, correct labels, every type the model will meet, and separate new data for testing. Bad for training: very few examples, wrong or random labels, only one kind of example, blurry examples, testing on the training data.

1. 1.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
2. 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
3. 3.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
4. 4.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
5. 5.Which of these is bad for training a model? (a) correct labels (b) examples of every type (c) new data for testing (d) blurry, unclear photos
6. 6.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
7. 7.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) a list of rules only (d) one single photo
8. 8.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
9. 9.Which of these is good for training a model? (a) copies of one photo (b) labels added at random (c) new data for testing (d) testing on training data
10. 10.Which of these is good for training a model? (a) clear, sharp examples (b) labels added at random (c) very few examples (d) wrong labels
11. 11.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
12. 12.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
13. 13.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
15. 15.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
16. 16.True or false: “photos in many lights” is good for training a model. (a) False (b) True
17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
18. 18.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
19. 19.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
20. 20.🔍 Which is the odd one out? (a) testing on training data (b) examples of every type (c) many varied examples (d) photos in many lights
21. 21.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
22. 22.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) correct labels (d) very few examples
23. 23.🔍 Which is the odd one out? (a) only one kind of example (b) many varied examples (c) photos in many lights (d) new data for testing
24. 24.True or false: “labels added at random” is good for training a model. (a) True (b) False
25. 25.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) the right answer tag (d) a sticker on a laptop
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
27. 27.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) copies of one photo (d) examples of every type
28. 28.Which of these is bad for training a model? (a) new data for testing (b) checking labels twice (c) labels added at random (d) many varied examples
29. 29.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) clean screens (d) charge faster
30. 30.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) better at its task (d) slower to switch on
31. 31.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
32. 32.True or false: “correct labels” is good for training a model. (a) False (b) True
33. 33.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
34. 34.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
35. 35.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
36. 36.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) blurry, unclear photos (d) many varied examples
37. 37.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
39. 39.Which of these is bad for training a model? (a) clear, sharp examples (b) checking labels twice (c) new data for testing (d) testing on training data
40. 40.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it may get it wrong (d) it will be perfect

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