AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 531 · 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: “new data for testing” is bad for training a model. (a) True (b) False
2. 2.🔍 Which is the odd one out? (a) AI answers need checking (b) AI is never wrong (c) AI can be wrong (d) AI learns from data
3. 3.Which of these describes how AI works? (a) one set rule per case (b) same steps every time (c) handles unseen examples (d) never learns from data
4. 4.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
5. 5.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) only on weekends (c) no, it finds patterns (d) yes, just like us
6. 6.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
7. 7.Which of these is bad for training a model? (a) very few examples (b) photos in many lights (c) many varied examples (d) checking labels twice
8. 8.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a basic calculator (d) a spam filter
9. 9.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
10. 10.True or false: “test on one group only” adds to bias. (a) False (b) True
11. 11.True or false: “naming a new fruit photo” is the model. (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) examples of every type (b) many varied examples (c) very few examples (d) clear, sharp examples
13. 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
14. 14.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
15. 15.Which of these describes how AI works? (a) same steps every time (b) never learns from data (c) learns from examples (d) does exactly as coded
16. 16.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
17. 17.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
18. 18.True or false: “same steps every time” describes how AI works. (a) False (b) True
19. 19.True or false: “find a trusted source” is a real way to check an AI answer. (a) True (b) False
20. 20.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the font size (d) the right answer tag
21. 21.Which of these describes how AI works? (a) same steps every time (b) gives a likely answer (c) one set rule per case (d) follows fixed rules
22. 22.True or false: “recorded spoken words” is the model. (a) True (b) False
23. 23.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) predicting (c) recommending (d) recognising
24. 24.True or false: “correct labels” is bad for training a model. (a) True (b) False
25. 25.Which of these is not AI? (a) an app translating signs (b) a doorbell (c) a spam filter (d) an image generator
26. 26.Which of these describes how AI works? (a) does exactly as coded (b) never learns from data (c) makes a best guess (d) same steps every time
27. 27.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
28. 28.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) True (b) False
29. 29.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
30. 30.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
31. 31.🔍 Which is the odd one out? (a) testing on training data (b) many varied examples (c) correct labels (d) photos in many lights
32. 32.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
33. 33.True or false: “examples of every type” is bad for training a model. (a) False (b) True
34. 34.🔍 Which is the odd one out? (a) unlocking with a face (b) turning speech to text (c) writing a new poem (d) reading number plates
35. 35.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
36. 36.Which of these uses AI? (a) a stopwatch (b) a spam filter (c) a digital watch (d) a calculator
37. 37.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
38. 38.True or false: an AI tool making a brand-new tune is AI predicting something. (a) False (b) True
39. 39.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) writing quiz questions (c) suggesting a video (d) sorting photos by face
40. 40.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) reading number plates (c) composing a new tune (d) sorting photos by face

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