Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 343 · 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) True (b) False
2. 2.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
3. 3.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
4. 4.Which of these is good for training a model? (a) checking labels twice (b) very few examples (c) blurry, unclear photos (d) testing on training data
5. 5.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) a sticker on a laptop (d) the right answer tag
6. 6.Which of these is bad for training a model? (a) very few examples (b) checking labels twice (c) clear, sharp examples (d) many varied examples
7. 7.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
8. 8.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) one single photo (d) a list of rules only
9. 9.True or false: “many varied examples” is bad for training a model. (a) True (b) False
10. 10.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
11. 11.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
12. 12.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
13. 13.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
14. 14.Which of these is good for training a model? (a) blurry, unclear photos (b) very few examples (c) labels added at random (d) new data for testing
15. 15.True or false: “labels added at random” is good for training a model. (a) False (b) True
16. 16.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
17. 17.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
18. 18.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
19. 19.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) examples of every type (d) only one kind of example
20. 20.True or false: “labels added at random” is bad for training a model. (a) True (b) False
21. 21.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
22. 22.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) slower to switch on (d) forget everything
23. 23.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
24. 24.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
25. 25.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) only one kind of example (d) many varied examples
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.True or false: “correct labels” is bad for training a model. (a) True (b) False
28. 28.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
29. 29.Which of these is good for training a model? (a) copies of one photo (b) photos in many lights (c) blurry, unclear photos (d) very few examples
30. 30.🏷️ 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
31. 31.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
33. 33.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
34. 34.Which of these is bad for training a model? (a) correct labels (b) examples of every type (c) new data for testing (d) wrong labels
35. 35.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it will turn yellow (d) it may get it wrong
36. 36.🔍 Which is the odd one out? (a) many varied examples (b) blurry, unclear photos (c) correct labels (d) clear, sharp examples
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
38. 38.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) testing on training data (d) clear, sharp examples
39. 39.True or false: “copies of one photo” is good for training a model. (a) False (b) True
40. 40.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False

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