AI for Kids Worksheet: Part 1 Test
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.
NameDateTime takenScore ___ / 40
- 1.🤖 Who builds and trains AI systems? (a) people (b) the Moon (c) the weather (d) nobody at all
- 2.Which of these is good for training a model? (a) labels added at random (b) copies of one photo (c) very few examples (d) many varied examples
- 3.True or false: “examples of every type” is bad for training a model. (a) False (b) True
- 4.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) artificial intelligence (d) app installer
- 5.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
- 6.Which of these is the model? (a) flagging a new email (b) naming a new fruit photo (c) old emails marked spam (d) what training builds
- 7.True or false: finding 10% of a price needs AI that learns from examples. (a) False (b) True
- 8.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
- 9.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) recognising (c) predicting (d) recommending
- 10.Which of these uses AI? (a) a printed timetable (b) an app translating signs (c) a fan regulator (d) a doorbell
- 11.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
- 12.True or false: showing the time on a clock needs AI that learns from examples. (a) True (b) False
- 13.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
- 14.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
- 15.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
- 16.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
- 17.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
- 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
- 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
- 20.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
- 21.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
- 22.Which of these describes how a normal program works? (a) handles unseen examples (b) improves with more data (c) learns from examples (d) uses rules people wrote
- 23.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it learns from examples (c) it uses electricity (d) it has a screen
- 24.Which of these is good for training a model? (a) wrong labels (b) clear, sharp examples (c) only one kind of example (d) labels added at random
- 25.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
- 26.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
- 27.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
- 28.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) stop studying (d) trust the textbook
- 29.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
- 30.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
- 31.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) past weather records (d) flagging a new email
- 32.True or false: “try the sum on paper” is a real way to check an AI answer. (a) True (b) False
- 33.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
- 34.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
- 35.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
- 36.📚 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
- 37.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
- 38.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) check who is missing (d) ask different people
- 39.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) test on one group only (d) ignore complaints
- 40.🔍 Which is the odd one out? (a) a voice assistant (b) voice typing (c) face unlock on a phone (d) a calculator
Answer key
- people
- many varied examples
- False
- artificial intelligence
- the learned patterns
- what training builds
- False
- more varied data
- predicting
- an app translating signs
- a myth
- False
- False
- balanced data
- makes something new
- False
- one-sided data
- training data
- not spam
- needs AI (learning)
- labelled fruit photos
- uses rules people wrote
- it learns from examples
- clear, sharp examples
- not a real check
- AI
- reduces bias
- trust the textbook
- bias from data
- False
- past weather records
- True
- True
- no
- False
- a hallucination
- uses AI
- use one group only
- fix wrong labels
- a calculator
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students