AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 677 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
2. 2.Which of these describes how a normal program works? (a) learns from examples (b) does exactly as coded (c) handles unseen examples (d) gives a likely answer
3. 3.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) True (b) False
4. 4.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) labelled fruit photos (d) typing a new spoken word
5. 5.🔍 Which is the odd one out? (a) correct labels (b) blurry, unclear photos (c) testing on training data (d) labels added at random
6. 6.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) add varied examples (d) test on one group only
7. 7.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
8. 8.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) predicting (b) recommending (c) generating (d) recognising
9. 9.True or false: “testing on training data” is bad for training a model. (a) True (b) False
10. 10.Which of these describes how AI works? (a) never learns from data (b) same steps every time (c) uses rules people wrote (d) spots patterns in data
11. 11.True or false: “naming a new leaf” is training data. (a) False (b) True
12. 12.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
13. 13.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
14. 14.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
15. 15.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
16. 16.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) follows fixed rules (d) handles unseen examples
17. 17.True or false: “add varied examples” helps reduce bias. (a) True (b) False
18. 18.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
19. 19.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
20. 20.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
21. 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) writing quiz questions (c) making up a story (d) turning speech to text
22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
23. 23.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) False (b) True
24. 24.Which of these helps reduce bias? (a) test on many groups (b) ignore complaints (c) add more of the same (d) skip testing
25. 25.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
26. 26.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) no, it follows rules (c) yes, it is smart (d) only at night
27. 27.True or false: “examples of every type” is good for training a model. (a) False (b) True
28. 28.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) recommending (c) charging (d) printing
29. 29.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a hallucination (c) a password (d) a backup
31. 31.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) reading number plates (c) spotting spam (d) drawing a new picture
32. 32.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
33. 33.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
34. 34.True or false: “match it to the textbook” is a real way to check an AI answer. (a) True (b) False
35. 35.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
36. 36.Which of these is training data? (a) recorded spoken words (b) naming a new leaf (c) the learned patterns (d) what training builds
37. 37.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
38. 38.True or false: “new data for testing” is bad for training a model. (a) True (b) False
39. 39.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) learn from data (d) print pages
40. 40.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check

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