AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 995 · 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.True or false: showing the time on a clock needs AI that learns from examples. (a) False (b) True
2. 2.Which of these is a myth about AI? (a) long answers are true (b) AI copies data patterns (c) AI can be wrong (d) AI can mix up numbers
3. 3.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
4. 4.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
5. 5.Which of these describes how AI works? (a) does exactly as coded (b) makes a best guess (c) same steps every time (d) never learns from data
6. 6.Which of these is the model? (a) naming a new leaf (b) the trained program (c) naming a new fruit photo (d) 500 labelled leaf photos
7. 7.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will be perfect (d) it will turn yellow
8. 8.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) copy old unfair choices (d) fix wrong labels
9. 9.True or false: a phone unlocking when it sees your face is AI predicting something. (a) True (b) False
10. 10.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
11. 11.🔍 Which is the odd one out? (a) a digital watch (b) a spam filter (c) an app translating signs (d) a voice assistant
12. 12.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) drawing a new picture (c) unlocking with a face (d) predicting rain
13. 13.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) no, it finds patterns (d) only on weekends
14. 14.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
15. 15.True or false: “same steps every time” describes how AI works. (a) True (b) False
16. 16.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) creating a cartoon (c) drawing a new picture (d) unlocking with a face
17. 17.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
18. 18.True or false: “AI answers need checking” is a fact about AI. (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) correct labels (b) copies of one photo (c) wrong labels (d) only one kind of example
20. 20.📱 What is the AI doing here: a video app suggesting what to watch next? (a) predicting (b) recognising (c) recommending (d) generating
21. 21.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) False (b) True
22. 22.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
24. 24.Which of these is bad for training a model? (a) blurry, unclear photos (b) many varied examples (c) correct labels (d) clear, sharp examples
25. 25.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
26. 26.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
27. 27.True or false: “learns from examples” describes how AI works. (a) True (b) False
28. 28.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
29. 29.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) inventing a recipe (c) predicting rain (d) drawing a new picture
30. 30.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) the right answer tag (d) a sticker on a laptop
31. 31.True or false: “naming a new leaf” is a prediction. (a) False (b) True
32. 32.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
33. 33.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) asks a person (d) predicts likely words
34. 34.🔍 Which is the odd one out? (a) predicting rain (b) creating a cartoon (c) reading number plates (d) suggesting a video
35. 35.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
36. 36.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
37. 37.Which of these is bad for training a model? (a) testing on training data (b) checking labels twice (c) new data for testing (d) correct labels
38. 38.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
39. 39.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
40. 40.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training

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