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.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it learns from examples (c) it uses electricity (d) it is always right
- 2.Which of these is a myth about AI? (a) AI copies data patterns (b) AI knows everything (c) AI can make up facts (d) AI can be wrong
- 3.Which of these is generative AI (it makes something new)? (a) writing quiz questions (b) predicting rain (c) spotting spam (d) suggesting a video
- 4.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) test on many groups (d) add varied examples
- 5.🔍 Which is the odd one out? (a) making up a story (b) inventing a recipe (c) suggesting a video (d) drawing a new picture
- 6.✨ What does generative AI do? (a) makes new content (b) charges batteries (c) only adds numbers (d) only stores files
- 7.💬 What do we call the request you type to a generative AI? (a) a label (b) a password (c) a prompt (d) a battery
- 8.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
- 9.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
- 10.Which of these is good for training a model? (a) correct labels (b) copies of one photo (c) blurry, unclear photos (d) testing on training data
- 11.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) tomorrow’s rain guess (d) what training builds
- 12.Which of these describes how AI works? (a) never learns from data (b) follows fixed rules (c) uses rules people wrote (d) improves with more data
- 13.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
- 14.📱 What is the AI doing here: turning your spoken words into typed text? (a) recommending (b) generating (c) recognising (d) predicting
- 15.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
- 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
- 17.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
- 18.🧪 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
- 19.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
- 20.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
- 21.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) never do maths (c) copy it straight away (d) ask it to hurry
- 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
- 23.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
- 24.True or false: “a soft lullaby melody” asks for an image. (a) False (b) True
- 25.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) add varied examples (d) skip testing
- 26.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
- 27.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
- 28.🏠 AI or not AI: an AI chatbot? (a) uses AI (b) not AI
- 29.🔍 Which is the odd one out? (a) writing quiz questions (b) unlocking with a face (c) drawing a new picture (d) writing a new poem
- 30.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
- 31.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
- 32.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) making up a story (c) creating a cartoon (d) suggesting a video
- 33.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
- 34.Which of these is not AI? (a) an AI chatbot (b) a map predicting traffic (c) a digital watch (d) a spam filter
- 35.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) only at night (d) no, it follows rules
- 36.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
- 37.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
- 38.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) new data for testing (d) very few examples
- 39.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
- 40.True or false: “the trained program” is the model. (a) False (b) True
Answer key
- it learns from examples
- AI knows everything
- writing quiz questions
- test on one group only
- suggesting a video
- makes new content
- a prompt
- adds to bias
- makes something new
- correct labels
- past weather records
- improves with more data
- True
- recognising
- False
- bias from data
- a simple rule is enough
- to see if it works
- balanced data
- False
- check it on paper
- the model
- no, it can be wrong
- False
- add varied examples
- False
- False
- uses AI
- unlocking with a face
- old emails marked spam
- learn from data
- suggesting a video
- many labelled photos
- a digital watch
- no, it follows rules
- AI
- data, model, prediction
- very few examples
- not AI
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students