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: “tomorrow’s rain guess” is a prediction. (a) True (b) False
- 2.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) add more of the same (d) copy old unfair choices
- 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
- 4.True or false: “very few examples” is bad for training a model. (a) True (b) False
- 5.🔍 Which is the odd one out? (a) spotting a sick leaf (b) drafting a letter (c) reading number plates (d) spotting spam
- 6.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
- 7.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) the phone was new (d) it was a rainy day
- 8.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
- 9.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
- 10.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
- 11.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
- 12.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) ignore complaints (d) ask different people
- 13.True or false: “a picture of a castle made of mangoes” asks for text. (a) True (b) False
- 14.Which of these uses AI? (a) a light switch (b) voice typing (c) a calculator (d) a digital watch
- 15.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
- 16.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) testing on training data (d) correct labels
- 17.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) testing on training data (d) photos in many lights
- 18.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) generating (c) predicting (d) recognising
- 19.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) text (c) an image
- 20.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a password (c) a hallucination (d) a backup
- 21.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
- 22.True or false: finding 10% of a price needs AI that learns from examples. (a) False (b) True
- 23.True or false: “asking the same AI again” is a real way to check an AI answer. (a) True (b) False
- 24.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
- 25.Which of these is a fact about AI? (a) confident means correct (b) AI answers need checking (c) AI is never wrong (d) AI has real feelings
- 26.🏠 AI or not AI: video suggestions? (a) uses AI (b) not AI
- 27.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
- 28.✨ Generative or not: suggesting a video? (a) sorts or predicts (b) makes something new
- 29.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
- 30.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
- 31.True or false: “confident means correct” is a myth about AI. (a) True (b) False
- 32.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) pick a lucky number (c) guess (d) ask it to repeat
- 33.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) writing a new poem (c) unlocking with a face (d) turning speech to text
- 34.Which of these describes how a normal program works? (a) learns from examples (b) spots patterns in data (c) gives a likely answer (d) never learns from data
- 35.True or false: “five quiz questions on fractions” asks for an image. (a) True (b) False
- 36.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
- 37.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
- 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
- 39.🔍 Which is the odd one out? (a) suggesting a video (b) making up a story (c) unlocking with a face (d) predicting rain
- 40.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
Answer key
- True
- add varied examples
- bias from data
- True
- drafting a letter
- a normal program
- few child voices in data
- False
- needs AI (learning)
- makes something new
- True
- ask different people
- False
- voice typing
- one-sided data
- testing on training data
- photos in many lights
- recognising
- text
- a hallucination
- a simple rule is enough
- False
- False
- what training builds
- AI answers need checking
- uses AI
- balanced data
- sorts or predicts
- the trained program
- a prediction
- True
- look in your textbook
- writing a new poem
- never learns from data
- False
- AI
- False
- spam
- making up a story
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students