AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 986 · 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.Which of these is a fact about AI? (a) AI has real feelings (b) AI can make up facts (c) AI is never wrong (d) AI knows everything
2. 2.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) what training builds (d) past weather records
3. 3.🔍 Which is the odd one out? (a) blurry, unclear photos (b) new data for testing (c) clear, sharp examples (d) correct labels
4. 4.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
5. 5.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
6. 6.Which of these is bad for training a model? (a) clear, sharp examples (b) many varied examples (c) correct labels (d) copies of one photo
7. 7.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
8. 8.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
9. 9.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) learn from data (d) charge faster
10. 10.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
11. 11.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
12. 12.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
14. 14.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) photos in many lights (d) labels added at random
15. 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) drafting a letter (c) suggesting a video (d) writing quiz questions
16. 16.True or false: “follows fixed rules” describes how AI works. (a) False (b) True
17. 17.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
18. 18.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
19. 19.Which of these is generative AI (it makes something new)? (a) inventing a recipe (b) reading number plates (c) unlocking with a face (d) suggesting a video
20. 20.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
21. 21.✍️ How does an AI chatbot write its replies? (a) copies one website (b) uses magic (c) predicts likely words (d) asks a person
22. 22.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) naming a new leaf (d) 500 labelled leaf photos
23. 23.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
25. 25.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
26. 26.Which of these describes how AI works? (a) never learns from data (b) spots patterns in data (c) uses rules people wrote (d) same steps every time
27. 27.True or false: “one set rule per case” describes how AI works. (a) True (b) False
28. 28.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
29. 29.🔍 Which is the odd one out? (a) very few examples (b) checking labels twice (c) copies of one photo (d) blurry, unclear photos
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
31. 31.⏩ 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
32. 32.True or false: “five quiz questions on fractions” asks for an image. (a) True (b) False
33. 33.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recommending (b) generating (c) recognising (d) predicting
34. 34.🔍 Which is the odd one out? (a) reading number plates (b) sorting photos by face (c) drafting a letter (d) suggesting a video
35. 35.🔍 Which is the odd one out? (a) a calculator (b) a printed timetable (c) video suggestions (d) a torch
36. 36.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
37. 37.True or false: “naming a new leaf” is a prediction. (a) True (b) False
38. 38.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
39. 39.Which of these uses AI? (a) face unlock on a phone (b) a torch (c) a light switch (d) a microwave timer
40. 40.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True

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