AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 834 · 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.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) one single photo (d) a song about dogs
2. 2.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
3. 3.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) check who is missing (d) balance the data
4. 4.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
5. 5.📱 What is the AI doing here: a music app suggesting a song you may like? (a) generating (b) recommending (c) predicting (d) recognising
6. 6.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
7. 7.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
8. 8.True or false: an image generator drawing a robot from a sentence is AI recommending something. (a) True (b) False
9. 9.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) ask it to hurry (c) check it on paper (d) never do maths
10. 10.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) the learned patterns (d) tomorrow’s rain guess
11. 11.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
12. 12.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
13. 13.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will shut down (c) it will turn yellow (d) it will be perfect
14. 14.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
15. 15.Which of these describes how a normal program works? (a) uses rules people wrote (b) spots patterns in data (c) gives a likely answer (d) improves with more data
16. 16.Which of these adds to bias? (a) ask different people (b) use one group only (c) check who is missing (d) balance the data
17. 17.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
18. 18.Which of these uses AI? (a) a microwave timer (b) a map predicting traffic (c) a fan regulator (d) a calculator
19. 19.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a password (c) a summary (d) a backup
20. 20.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) predicting (c) sleeping (d) drawing
21. 21.True or false: “a cheerful tune for Sports Day” asks for an image. (a) True (b) False
22. 22.🤖 What does AI stand for? (a) artificial intelligence (b) automatic internet (c) actual information (d) app installer
23. 23.True or false: “AI learns from data” is a myth about AI. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
25. 25.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) an image (c) text
26. 26.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
29. 29.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
30. 30.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
31. 31.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
32. 32.Which of these is not AI? (a) face unlock on a phone (b) an image generator (c) an app translating signs (d) a torch
33. 33.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
35. 35.Which of these uses AI? (a) a stopwatch (b) a doorbell (c) a printed timetable (d) an image generator
36. 36.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
37. 37.🤖 Who builds and trains AI systems? (a) the weather (b) people (c) the Moon (d) nobody at all
38. 38.📱 What is the AI doing here: a camera app naming the flower you point at? (a) predicting (b) recommending (c) recognising (d) generating
39. 39.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
40. 40.🔍 Which is the odd one out? (a) unlocking with a face (b) spotting spam (c) reading number plates (d) writing quiz questions

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