Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 333 · 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.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the right answer tag (d) the price
2. 2.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
3. 3.True or false: “checking labels twice” is good for training a model. (a) True (b) False
4. 4.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
5. 5.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) labels added at random (d) examples of every type
6. 6.🏷️ 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
7. 7.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) a song about dogs (d) many labelled photos
8. 8.🏷️ 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
9. 9.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
10. 10.🏷️ 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
11. 11.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) better at its task (d) forget everything
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
13. 13.🏷️ 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
14. 14.True or false: “photos in many lights” is good for training a model. (a) True (b) False
15. 15.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) only one kind of example (d) new data for testing
16. 16.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
17. 17.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
18. 18.🔍 Which is the odd one out? (a) clear, sharp examples (b) blurry, unclear photos (c) only one kind of example (d) very few examples
19. 19.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
20. 20.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
21. 21.Which of these is bad for training a model? (a) checking labels twice (b) photos in many lights (c) testing on training data (d) clear, sharp examples
22. 22.🔍 Which is the odd one out? (a) examples of every type (b) very few examples (c) many varied examples (d) checking labels twice
23. 23.Which of these is bad for training a model? (a) wrong labels (b) new data for testing (c) photos in many lights (d) clear, sharp examples
24. 24.True or false: “examples of every type” is good for training a model. (a) False (b) True
25. 25.Which of these is bad for training a model? (a) examples of every type (b) checking labels twice (c) new data for testing (d) copies of one photo
26. 26.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
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 is the odd one out? (a) photos in many lights (b) blurry, unclear photos (c) clear, sharp examples (d) many varied examples
29. 29.True or false: “many varied examples” is bad for training a model. (a) True (b) False
30. 30.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) print pages (d) clean screens
31. 31.True or false: “copies of one photo” is good for training a model. (a) False (b) True
32. 32.True or false: “very few examples” is good for training a model. (a) True (b) False
33. 33.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
34. 34.True or false: “very few examples” is bad for training a model. (a) False (b) True
35. 35.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
36. 36.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
37. 37.🔍 Which is the odd one out? (a) testing on training data (b) labels added at random (c) photos in many lights (d) only one kind of example
38. 38.True or false: “examples of every type” is bad for training a model. (a) True (b) False
39. 39.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
40. 40.True or false: “photos in many lights” is bad for training a model. (a) False (b) True

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