Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 112 · 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: “many varied examples” is bad for training a model. (a) True (b) False
2. 2.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) better at its task (d) change colour
3. 3.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
5. 5.🏷️ 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
6. 6.Which of these is bad for training a model? (a) correct labels (b) very few examples (c) checking labels twice (d) many varied examples
7. 7.🏷️ 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
8. 8.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
9. 9.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
10. 10.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
11. 11.True or false: “examples of every type” is good for training a model. (a) False (b) True
12. 12.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) one single photo (d) a song about dogs
13. 13.True or false: “checking labels twice” is good for training a model. (a) False (b) True
14. 14.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
15. 15.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
16. 16.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) photos in many lights (d) very few examples
17. 17.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
18. 18.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) testing on training data (d) new data for testing
19. 19.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
20. 20.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
21. 21.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
22. 22.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) a sticker on a laptop (c) the price (d) the font size
23. 23.Which of these is good for training a model? (a) only one kind of example (b) correct labels (c) wrong labels (d) labels added at random
24. 24.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
25. 25.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
26. 26.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
27. 27.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
28. 28.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will turn yellow (d) it will be perfect
29. 29.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
30. 30.Which of these is bad for training a model? (a) checking labels twice (b) labels added at random (c) clear, sharp examples (d) photos in many lights
31. 31.True or false: “only one kind of example” is good for training a model. (a) True (b) False
32. 32.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) clear, sharp examples (d) wrong labels
33. 33.🏷️ 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
34. 34.🏷️ 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
35. 35.True or false: “new data for testing” is good for training a model. (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) clear, sharp examples (b) wrong labels (c) correct labels (d) new data for testing
37. 37.🔍 Which is the odd one out? (a) testing on training data (b) many varied examples (c) clear, sharp examples (d) examples of every type
38. 38.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
39. 39.Which of these is good for training a model? (a) blurry, unclear photos (b) clear, sharp examples (c) only one kind of example (d) copies of one photo
40. 40.True or false: “testing on training data” is bad for training a model. (a) True (b) False

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