AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 650 · 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.🔍 Which is the odd one out? (a) checking labels twice (b) many varied examples (c) very few examples (d) correct labels
2. 2.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) music or sound (b) an image (c) text
3. 3.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) tomorrow’s rain guess (d) the learned patterns
4. 4.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
5. 5.True or false: “write a poem about the monsoon” asks for text. (a) False (b) True
6. 6.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can mix up numbers (c) confident means correct (d) AI copies data patterns
8. 8.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
10. 10.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
11. 11.🔍 Which is the odd one out? (a) copies of one photo (b) new data for testing (c) correct labels (d) examples of every type
12. 12.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
13. 13.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
14. 14.Which of these is a myth about AI? (a) AI copies data patterns (b) AI always checks facts (c) AI can mix up numbers (d) AI learns from data
15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
16. 16.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) text (c) music or sound
17. 17.Which of these describes how AI works? (a) same steps every time (b) never learns from data (c) one set rule per case (d) improves with more data
18. 18.Which of these describes how AI works? (a) same steps every time (b) gives a likely answer (c) one set rule per case (d) uses rules people wrote
19. 19.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) sleeping (c) predicting (d) drawing
20. 20.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recommending (b) generating (c) recognising (d) predicting
21. 21.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) naming a new leaf (d) the trained program
22. 22.🔍 Which is the odd one out? (a) an AI chatbot (b) a voice assistant (c) a torch (d) voice typing
23. 23.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI copies data patterns (c) AI learns from data (d) long answers are true
24. 24.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
25. 25.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
26. 26.True or false: “use one group only” helps reduce bias. (a) True (b) False
27. 27.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image
28. 28.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
29. 29.True or false: showing the time on a clock needs AI that learns from examples. (a) True (b) False
30. 30.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recommending (b) recognising (c) generating (d) predicting
31. 31.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
32. 32.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
33. 33.Which of these describes how a normal program works? (a) makes a best guess (b) one set rule per case (c) improves with more data (d) learns from examples
34. 34.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
35. 35.True or false: “gives a likely answer” describes how a normal program works. (a) True (b) False
36. 36.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
37. 37.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
38. 38.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
39. 39.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
40. 40.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check

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