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 can be wrong” is a myth about AI. (a) False (b) True
- 2.🏠 AI or not AI: an AI chatbot? (a) uses AI (b) not AI
- 3.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) the learned patterns (d) flagging a new email
- 4.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
- 5.Which of these is a fact about AI? (a) confident means correct (b) AI has real feelings (c) AI always checks facts (d) AI answers need checking
- 6.🔍 Which is the odd one out? (a) spotting spam (b) drawing a new picture (c) drafting a letter (d) creating a cartoon
- 7.🔍 Which is the odd one out? (a) AI can be wrong (b) AI answers need checking (c) AI knows everything (d) AI copies data patterns
- 8.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
- 9.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
- 10.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI always checks facts (c) AI is never wrong (d) AI knows everything
- 11.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
- 12.Which of these is a myth about AI? (a) AI learns from data (b) AI always checks facts (c) AI can be wrong (d) AI can mix up numbers
- 13.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
- 14.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
- 15.Which of these describes how AI works? (a) does exactly as coded (b) handles unseen examples (c) follows fixed rules (d) one set rule per case
- 16.True or false: finding 10% of a price only needs a simple fixed rule. (a) True (b) False
- 17.True or false: “a drawing of a cat on the Moon” asks for an image. (a) False (b) True
- 18.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
- 19.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) an image (b) music or sound (c) text
- 20.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
- 21.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
- 22.Which of these uses AI? (a) a microwave timer (b) a calculator (c) a torch (d) photos grouped by face
- 23.Which of these describes how AI works? (a) uses rules people wrote (b) never learns from data (c) makes a best guess (d) one set rule per case
- 24.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
- 25.True or false: “it is long and detailed” is a real way to check an AI answer. (a) True (b) False
- 26.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) copies of one photo (d) many varied examples
- 27.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) naming a new fruit photo (d) the trained program
- 28.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) past weather records (d) naming a new leaf
- 29.Which of these is a fact about AI? (a) confident means correct (b) AI knows everything (c) AI is never wrong (d) AI learns from data
- 30.True or false: “naming a new leaf” is training data. (a) False (b) True
- 31.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
- 32.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
- 33.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
- 34.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) skip testing (d) check who is missing
- 35.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
- 36.True or false: “confident means correct” is a myth about AI. (a) True (b) False
- 37.True or false: “a logo idea for the eco club” asks for text. (a) True (b) False
- 38.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
- 39.🧮 Which of these is NOT AI? (a) a spam filter (b) voice typing (c) a basic calculator (d) face unlock
- 40.🔍 Which is the odd one out? (a) wrong labels (b) copies of one photo (c) clear, sharp examples (d) very few examples
Answer key
- False
- uses AI
- the learned patterns
- reduces bias
- AI answers need checking
- spotting spam
- AI knows everything
- no
- True
- AI can mix up numbers
- a simple rule is enough
- AI always checks facts
- True
- False
- handles unseen examples
- True
- True
- False
- music or sound
- False
- needs AI (learning)
- photos grouped by face
- makes a best guess
- False
- False
- many varied examples
- recorded spoken words
- past weather records
- AI learns from data
- False
- few child voices in data
- a prediction
- one-sided data
- check who is missing
- needs AI (learning)
- True
- False
- True
- a basic calculator
- clear, sharp examples
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students