Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 324 · 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: “only one kind of example” is good for training a model. (a) False (b) True
2. 2.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
3. 3.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
4. 4.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
6. 6.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) copies of one photo (b) photos in many lights (c) new data for testing (d) examples of every type
8. 8.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the price (d) the right answer tag
9. 9.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
10. 10.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
11. 11.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
12. 12.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) very few examples (d) many varied examples
13. 13.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
14. 14.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) change colour (d) better at its task
15. 15.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
16. 16.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
17. 17.Which of these is good for training a model? (a) blurry, unclear photos (b) copies of one photo (c) checking labels twice (d) testing on training data
18. 18.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
19. 19.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
20. 20.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) only one kind of example (d) new data for testing
21. 21.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
22. 22.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) blurry, unclear photos (d) photos in many lights
23. 23.🔍 Which is the odd one out? (a) labels added at random (b) checking labels twice (c) very few examples (d) testing on training data
24. 24.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
25. 25.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) learn from data (d) print pages
26. 26.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
27. 27.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
28. 28.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
29. 29.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
30. 30.Which of these is bad for training a model? (a) copies of one photo (b) photos in many lights (c) examples of every type (d) clear, sharp examples
31. 31.Which of these is good for training a model? (a) clear, sharp examples (b) wrong labels (c) testing on training data (d) very few examples
32. 32.🏷️ 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
33. 33.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) new data for testing (d) blurry, unclear photos
34. 34.True or false: “photos in many lights” is good for training a model. (a) False (b) True
35. 35.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) very few examples (d) clear, sharp examples
36. 36.True or false: “labels added at random” is good for training a model. (a) False (b) True
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
38. 38.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) examples of every type (d) blurry, unclear photos
39. 39.🔍 Which is the odd one out? (a) new data for testing (b) photos in many lights (c) correct labels (d) wrong labels
40. 40.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training

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