AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 115 · 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.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recommending (b) generating (c) predicting (d) recognising
2. 2.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
3. 3.True or false: “typing a new spoken word” is the model. (a) False (b) True
4. 4.True or false: adding up the marks on a report card needs AI that learns from examples. (a) False (b) True
5. 5.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
6. 6.Which of these describes how AI works? (a) does exactly as coded (b) improves with more data (c) never learns from data (d) follows fixed rules
7. 7.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) print pages (d) charge faster
8. 8.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) spots patterns in data (d) does exactly as coded
9. 9.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
10. 10.True or false: “examples of every type” is bad for training a model. (a) False (b) True
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
12. 12.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
13. 13.True or false: “confident means correct” is a myth about AI. (a) False (b) True
14. 14.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) handles unseen examples (d) does exactly as coded
15. 15.✍️ How does an AI chatbot write its replies? (a) uses magic (b) predicts likely words (c) copies one website (d) asks a person
16. 16.🛠️ Which does this job need: translating a sentence into Hindi? (a) needs AI (learning) (b) a simple rule is enough
17. 17.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
18. 18.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) drawing a new picture (c) turning speech to text (d) spotting spam
19. 19.🔍 Which is the odd one out? (a) many varied examples (b) labels added at random (c) testing on training data (d) only one kind of example
20. 20.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) recognising (c) recommending (d) predicting
21. 21.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
22. 22.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
23. 23.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
24. 24.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
25. 25.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) check it on paper (c) ask it to hurry (d) copy it straight away
26. 26.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recognising (b) predicting (c) generating (d) recommending
27. 27.True or false: “flagging a new email” is the model. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
29. 29.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) an image (c) music or sound
30. 30.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
31. 31.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
32. 32.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
33. 33.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
34. 34.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) guess (c) pick a lucky number (d) look in your textbook
35. 35.True or false: “wrong labels” is bad for training a model. (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.🔍 Which is the odd one out? (a) video suggestions (b) a doorbell (c) a map predicting traffic (d) face unlock on a phone
38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
39. 39.Which of these is not AI? (a) an AI chatbot (b) a stopwatch (c) face unlock on a phone (d) voice typing
40. 40.🔍 Which is the odd one out? (a) very few examples (b) only one kind of example (c) testing on training data (d) clear, sharp examples

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