Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 510 · 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.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
2. 2.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) forget everything (d) change colour
3. 3.Which of these is good for training a model? (a) wrong labels (b) only one kind of example (c) correct labels (d) labels added at random
4. 4.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
5. 5.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
6. 6.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
7. 7.Which of these is bad for training a model? (a) photos in many lights (b) labels added at random (c) new data for testing (d) correct labels
8. 8.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
10. 10.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
11. 11.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the right answer tag (d) the price
12. 12.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
13. 13.🔍 Which is the odd one out? (a) only one kind of example (b) new data for testing (c) clear, sharp examples (d) photos in many lights
14. 14.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
15. 15.🔍 Which is the odd one out? (a) only one kind of example (b) testing on training data (c) very few examples (d) photos in many lights
16. 16.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
17. 17.Which of these is good for training a model? (a) checking labels twice (b) blurry, unclear photos (c) wrong labels (d) only one kind of example
18. 18.🏷️ 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
19. 19.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
20. 20.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
21. 21.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
22. 22.True or false: “labels added at random” is bad for training a model. (a) True (b) False
23. 23.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
24. 24.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
25. 25.True or false: “photos in many lights” is good for training a model. (a) False (b) True
26. 26.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
27. 27.🏷️ 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
28. 28.Which of these is good for training a model? (a) wrong labels (b) clear, sharp examples (c) only one kind of example (d) blurry, unclear photos
29. 29.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
30. 30.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) a list of rules only (d) one single photo
31. 31.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) blurry, unclear photos (d) clear, sharp examples
32. 32.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
33. 33.🏷️ 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
34. 34.True or false: “examples of every type” is good for training a model. (a) False (b) True
35. 35.🏷️ 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
36. 36.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) very few examples (d) examples of every type
37. 37.True or false: “new data for testing” is good for training a model. (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) wrong labels (b) very few examples (c) blurry, unclear photos (d) new data for testing
39. 39.True or false: “only one kind of example” is good for training a model. (a) True (b) False
40. 40.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training

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