Machine Learning for Kids Worksheet

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

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