Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 596 · 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: “clear, sharp examples” is bad for training a model. (a) False (b) True
2. 2.Which of these is bad for training a model? (a) photos in many lights (b) new data for testing (c) checking labels twice (d) very few examples
3. 3.True or false: “examples of every type” is bad for training a model. (a) False (b) True
4. 4.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
5. 5.🔍 Which is the odd one out? (a) clear, sharp examples (b) testing on training data (c) checking labels twice (d) correct labels
6. 6.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
7. 7.True or false: “very few examples” is bad for training a model. (a) False (b) True
8. 8.Which of these is bad for training a model? (a) testing on training data (b) examples of every type (c) correct labels (d) many varied examples
9. 9.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
10. 10.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it may get it wrong (d) it will turn yellow
11. 11.🏷️ 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
12. 12.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
13. 13.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) wrong labels (b) many varied examples (c) correct labels (d) photos in many lights
15. 15.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
16. 16.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) print pages (d) clean screens
17. 17.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
18. 18.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
19. 19.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on
20. 20.🏷️ 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
21. 21.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
22. 22.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the right answer tag (d) the font size
23. 23.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
24. 24.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
25. 25.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
26. 26.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
27. 27.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
28. 28.Which of these is good for training a model? (a) many varied examples (b) only one kind of example (c) testing on training data (d) labels added at random
29. 29.Which of these is bad for training a model? (a) many varied examples (b) new data for testing (c) clear, sharp examples (d) blurry, unclear photos
30. 30.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) a song about dogs (d) many labelled photos
31. 31.True or false: “copies of one photo” is good for training a model. (a) True (b) False
32. 32.Which of these is good for training a model? (a) testing on training data (b) blurry, unclear photos (c) clear, sharp examples (d) copies of one photo
33. 33.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) testing on training data (d) correct labels
34. 34.Which of these is good for training a model? (a) labels added at random (b) blurry, unclear photos (c) testing on training data (d) new data for testing
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
36. 36.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) blurry, unclear photos (d) examples of every type
37. 37.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
38. 38.True or false: “only one kind of example” is good for training a model. (a) False (b) True
39. 39.🏷️ 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
40. 40.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False

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