Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 416 · 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: “blurry, unclear photos” is bad for training a model. (a) False (b) True
2. 2.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
3. 3.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
4. 4.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
5. 5.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
6. 6.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
7. 7.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) print pages (d) charge faster
8. 8.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
9. 9.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
10. 10.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
11. 11.Which of these is bad for training a model? (a) photos in many lights (b) wrong labels (c) examples of every type (d) correct labels
12. 12.True or false: “wrong labels” is bad for training a model. (a) True (b) False
13. 13.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
14. 14.🏷️ 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
15. 15.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the price (d) the font size
16. 16.Which of these is bad for training a model? (a) testing on training data (b) examples of every type (c) clear, sharp examples (d) photos in many lights
17. 17.🥭 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 will turn yellow (d) it may get it wrong
18. 18.🔍 Which is the odd one out? (a) new data for testing (b) very few examples (c) examples of every type (d) checking labels twice
19. 19.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
20. 20.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
21. 21.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
22. 22.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) blurry, unclear photos (d) correct labels
23. 23.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
24. 24.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) very few examples (d) many varied examples
25. 25.True or false: “testing on training data” is good for training a model. (a) True (b) False
26. 26.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) one single photo (d) a song about dogs
27. 27.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
28. 28.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
29. 29.🏷️ 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
30. 30.True or false: “correct labels” is bad for training a model. (a) False (b) True
31. 31.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
32. 32.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
33. 33.True or false: “labels added at random” is good for training a model. (a) True (b) False
34. 34.True or false: “new data for testing” is bad for training a model. (a) False (b) True
35. 35.True or false: “wrong labels” is good for training a model. (a) True (b) False
36. 36.True or false: “correct labels” is good for training a model. (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) checking labels twice (b) new data for testing (c) photos in many lights (d) labels added at random
38. 38.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
39. 39.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
40. 40.True or false: “very few examples” is bad for training a model. (a) False (b) True

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