Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 398 · 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.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) better at its task (d) slower to switch on
2. 2.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
3. 3.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
4. 4.🏷️ 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
5. 5.Which of these is good for training a model? (a) wrong labels (b) blurry, unclear photos (c) very few examples (d) photos in many lights
6. 6.Which of these is bad for training a model? (a) very few examples (b) examples of every type (c) correct labels (d) new data for testing
7. 7.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
8. 8.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
9. 9.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) many varied examples (d) very few examples
10. 10.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
12. 12.True or false: “checking labels twice” is good for training a model. (a) False (b) True
13. 13.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) a list of rules only (d) many labelled photos
14. 14.🥭 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 will be perfect (d) it may get it wrong
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
16. 16.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
17. 17.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
18. 18.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
19. 19.🏷️ 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
20. 20.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
21. 21.Which of these is good for training a model? (a) blurry, unclear photos (b) wrong labels (c) only one kind of example (d) clear, sharp examples
22. 22.🔍 Which is the odd one out? (a) only one kind of example (b) very few examples (c) testing on training data (d) correct labels
23. 23.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
24. 24.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
25. 25.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
26. 26.True or false: “only one kind of example” is good for training a model. (a) True (b) False
27. 27.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
28. 28.Which of these is good for training a model? (a) only one kind of example (b) correct labels (c) very few examples (d) labels added at random
29. 29.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
30. 30.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
31. 31.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
32. 32.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
33. 33.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
35. 35.🔍 Which is the odd one out? (a) correct labels (b) copies of one photo (c) photos in many lights (d) clear, sharp examples
36. 36.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
38. 38.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) photos in many lights (d) labels added at random
39. 39.Which of these is good for training a model? (a) blurry, unclear photos (b) testing on training data (c) very few examples (d) checking labels twice
40. 40.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) very few examples (d) many varied examples

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