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.Which of these describes how AI works? (a) gives a likely answer (b) never learns from data (c) does exactly as coded (d) uses rules people wrote
- 2.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) naming a new fruit photo (d) flagging a new email
- 3.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
- 4.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) only one kind of example (d) new data for testing
- 5.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
- 6.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) music or sound (b) text (c) an image
- 7.True or false: “does exactly as coded” describes how AI works. (a) False (b) True
- 8.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) False (b) True
- 9.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
- 10.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
- 11.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) True (b) False
- 12.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
- 13.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
- 14.True or false: a camera app naming the flower you point at is AI recognising something. (a) False (b) True
- 15.🔍 Which is the odd one out? (a) wrong labels (b) correct labels (c) many varied examples (d) photos in many lights
- 16.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
- 17.🎨 An image generator makes a picture from… (a) the weather (b) your password (c) a text description (d) a phone number
- 18.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
- 19.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
- 20.🔍 Which is the odd one out? (a) sorting photos by face (b) drafting a letter (c) composing a new tune (d) creating a cartoon
- 21.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) sorting photos by face (c) spotting a sick leaf (d) making up a story
- 22.✨ What does generative AI do? (a) makes new content (b) only stores files (c) charges batteries (d) only adds numbers
- 23.🔍 Which is the odd one out? (a) correct labels (b) very few examples (c) photos in many lights (d) clear, sharp examples
- 24.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
- 25.🔍 Which is the odd one out? (a) AI knows everything (b) AI learns from data (c) AI answers need checking (d) AI can be wrong
- 26.True or false: “recorded spoken words” is training data. (a) True (b) False
- 27.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
- 28.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) yes, it can think (d) no, it follows rules
- 29.Which of these is not AI? (a) an app translating signs (b) a doorbell (c) an image generator (d) a map predicting traffic
- 30.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) predicting (b) generating (c) recognising (d) recommending
- 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
- 32.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a list of rules only (d) a song about dogs
- 33.True or false: “very few examples” is bad for training a model. (a) False (b) True
- 34.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
- 35.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
- 36.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) only on weekends (c) yes, it gets sad (d) no, it finds patterns
- 37.True or false: an AI chatbot writing a poem about rain is AI recommending something. (a) False (b) True
- 38.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
- 39.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
- 40.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
Answer key
- gives a likely answer
- past weather records
- good for training
- only one kind of example
- makes something new
- an image
- False
- False
- makes something new
- sorts or predicts
- True
- a simple rule is enough
- True
- True
- wrong labels
- False
- a text description
- bad for training
- False
- sorting photos by face
- making up a story
- makes new content
- very few examples
- a normal program
- AI knows everything
- True
- reduces bias
- no, it follows rules
- a doorbell
- generating
- spam
- many labelled photos
- True
- a normal program
- makes something new
- no, it finds patterns
- False
- bad for training
- more varied data
- a normal program
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students