AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 500 · 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: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
2. 2.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
3. 3.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
4. 4.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) recommending (c) charging (d) cooking
5. 5.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
6. 6.True or false: showing the time on a clock only needs a simple fixed rule. (a) True (b) False
7. 7.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
8. 8.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) copy it straight away (c) never do maths (d) ask it to hurry
9. 9.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
10. 10.🔍 Which is the odd one out? (a) AI learns from data (b) AI can make up facts (c) AI copies data patterns (d) AI is never wrong
11. 11.True or false: “check who is missing” adds to bias. (a) False (b) True
12. 12.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
13. 13.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
14. 14.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
15. 15.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
16. 16.Which of these describes how AI works? (a) never learns from data (b) same steps every time (c) uses rules people wrote (d) learns from examples
17. 17.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
18. 18.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) composing a new tune (c) writing quiz questions (d) unlocking with a face
19. 19.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
20. 20.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
21. 21.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
22. 22.True or false: “one set rule per case” describes how AI works. (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) long answers are true (b) AI answers need checking (c) AI learns from data (d) AI can mix up numbers
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
25. 25.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) a text description (d) the weather
26. 26.🔍 Which is the odd one out? (a) wrong labels (b) checking labels twice (c) examples of every type (d) new data for testing
27. 27.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
28. 28.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
29. 29.True or false: “long answers are true” is a fact about AI. (a) True (b) False
30. 30.📱 What is the AI doing here: a video app suggesting what to watch next? (a) predicting (b) recommending (c) generating (d) recognising
31. 31.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
32. 32.Which of these uses AI? (a) a microwave timer (b) a digital watch (c) face unlock on a phone (d) a fan regulator
33. 33.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it may get it wrong (d) it will shut down
34. 34.True or false: “correct labels” is good for training a model. (a) False (b) True
35. 35.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
36. 36.Which of these is bad for training a model? (a) new data for testing (b) wrong labels (c) correct labels (d) many varied examples
37. 37.Which of these describes how a normal program works? (a) learns from examples (b) gives a likely answer (c) does exactly as coded (d) spots patterns in data
38. 38.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
39. 39.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
40. 40.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction

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