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 is the odd one out? (a) AI copies data patterns (b) AI can be wrong (c) AI always checks facts (d) AI learns from data
- 2.Which of these uses AI? (a) a stopwatch (b) a microwave timer (c) face unlock on a phone (d) a kitchen weighing scale
- 3.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recognising (b) predicting (c) generating (d) recommending
- 4.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
- 5.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) making up a story (c) unlocking with a face (d) drawing a new picture
- 6.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
- 7.Which of these describes how AI works? (a) improves with more data (b) one set rule per case (c) does exactly as coded (d) uses rules people wrote
- 8.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
- 9.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
- 10.🔍 Which is the odd one out? (a) spotting spam (b) unlocking with a face (c) sorting photos by face (d) composing a new tune
- 11.✨ What does generative AI do? (a) only stores files (b) charges batteries (c) only adds numbers (d) makes new content
- 12.Which of these is bad for training a model? (a) checking labels twice (b) photos in many lights (c) many varied examples (d) testing on training data
- 13.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) generating (c) recognising (d) recommending
- 14.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) add more of the same (d) test on many groups
- 15.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) text (b) an image (c) music or sound
- 16.True or false: an AI chatbot writing a poem about rain is AI recommending something. (a) False (b) True
- 17.True or false: “never learns from data” describes how AI works. (a) True (b) False
- 18.True or false: “AI knows everything” is a myth about AI. (a) True (b) False
- 19.Which of these helps reduce bias? (a) ask different people (b) add more of the same (c) test on one group only (d) copy old unfair choices
- 20.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) guess (c) pick a lucky number (d) look in your textbook
- 21.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
- 22.Which of these is a fact about AI? (a) AI always checks facts (b) AI has real feelings (c) AI learns from data (d) AI is never wrong
- 23.True or false: “a cheerful tune for Sports Day” asks for an image. (a) True (b) False
- 24.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
- 25.True or false: “testing on training data” is bad for training a model. (a) False (b) True
- 26.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
- 27.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) the trained program (d) tomorrow’s rain guess
- 28.🔍 Which is the odd one out? (a) a light switch (b) an AI chatbot (c) photos grouped by face (d) an app translating signs
- 29.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) text (c) music or sound
- 30.🧮 Is a basic calculator an AI system? (a) only at night (b) no, it follows rules (c) yes, it is smart (d) yes, it can think
- 31.🛠️ Which does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
- 32.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) flagging a new email (d) recorded spoken words
- 33.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
- 34.True or false: a car camera reading a speed sign is AI recommending something. (a) True (b) False
- 35.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
- 36.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
- 37.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
- 38.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) stop studying (d) trust the textbook
- 39.Which of these is training data? (a) past weather records (b) the learned patterns (c) what training builds (d) naming a new leaf
- 40.Which of these is not AI? (a) an AI chatbot (b) video suggestions (c) a voice assistant (d) a light switch
Answer key
- AI always checks facts
- face unlock on a phone
- recommending
- a simple rule is enough
- unlocking with a face
- a real check
- improves with more data
- a prediction
- a myth
- composing a new tune
- makes new content
- testing on training data
- recognising
- test on many groups
- an image
- False
- False
- True
- ask different people
- look in your textbook
- False
- AI learns from data
- False
- not AI
- True
- training data
- tomorrow’s rain guess
- a light switch
- music or sound
- no, it follows rules
- needs AI (learning)
- flagging a new email
- False
- False
- True
- a prediction
- False
- trust the textbook
- past weather records
- a light switch
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students