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.True or false: “AI always checks facts” is a myth about AI. (a) False (b) True
- 2.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
- 3.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
- 4.Which of these is bad for training a model? (a) testing on training data (b) correct labels (c) examples of every type (d) photos in many lights
- 5.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) writing quiz questions (c) turning speech to text (d) inventing a recipe
- 6.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
- 7.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
- 8.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a basic calculator (d) a spam filter
- 9.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
- 10.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
- 11.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
- 12.True or false: “AI can make up facts” is a fact about AI. (a) True (b) False
- 13.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) music or sound (c) an image
- 14.💬 What do we call the request you type to a generative AI? (a) a label (b) a battery (c) a prompt (d) a password
- 15.Which of these is the model? (a) labelled fruit photos (b) recorded spoken words (c) the learned patterns (d) past weather records
- 16.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) balance the data (d) ask different people
- 17.True or false: “ask different people” helps reduce bias. (a) True (b) False
- 18.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
- 19.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) no, check it anyway (c) yes, if it is long
- 20.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) predicting (c) generating (d) recognising
- 21.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) 500 labelled leaf photos (d) labelled fruit photos
- 22.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
- 23.Which of these helps reduce bias? (a) ask different people (b) copy old unfair choices (c) ignore complaints (d) test on one group only
- 24.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
- 25.True or false: “add varied examples” adds to bias. (a) True (b) False
- 26.Which of these helps reduce bias? (a) ignore complaints (b) add varied examples (c) skip testing (d) add more of the same
- 27.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) spotting spam (c) drafting a letter (d) sorting photos by face
- 28.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
- 29.True or false: “gives a likely answer” describes how a normal program works. (a) False (b) True
- 30.True or false: “AI has real feelings” is a fact about AI. (a) True (b) False
- 31.🔍 Which is the odd one out? (a) turning speech to text (b) suggesting a video (c) inventing a recipe (d) predicting rain
- 32.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) an image (b) text (c) music or sound
- 33.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) generating (b) predicting (c) recommending (d) recognising
- 34.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
- 35.🔍 Which is the odd one out? (a) turning speech to text (b) predicting rain (c) writing quiz questions (d) spotting spam
- 36.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
- 37.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
- 38.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
- 39.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) typing a new spoken word (d) what training builds
- 40.🔍 Which is the odd one out? (a) long answers are true (b) AI has real feelings (c) AI answers need checking (d) AI knows everything
Answer key
- True
- the model
- one-sided data
- testing on training data
- turning speech to text
- False
- good for training
- a basic calculator
- True
- AI
- sorts or predicts
- True
- an image
- a prompt
- the learned patterns
- use one group only
- True
- bad for training
- no, check it anyway
- predicting
- typing a new spoken word
- uses AI
- ask different people
- a normal program
- False
- add varied examples
- drafting a letter
- good for training
- False
- False
- inventing a recipe
- text
- generating
- False
- writing quiz questions
- one-sided data
- makes something new
- training data
- old emails marked spam
- AI answers need checking
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students