Machine Learning for Kids Worksheet

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

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