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 is good for training a model? (a) labels added at random (b) clear, sharp examples (c) very few examples (d) wrong labels
- 2.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) look in your textbook (c) guess (d) ask it to repeat
- 3.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) test on one group only (d) check who is missing
- 4.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) True (b) False
- 5.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
- 6.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
- 7.True or false: “long answers are true” is a fact about AI. (a) True (b) False
- 8.True or false: “checking labels twice” is good for training a model. (a) True (b) False
- 9.🎨 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
- 10.True or false: “a thank-you note to the bus driver” asks for an image. (a) True (b) False
- 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
- 12.Which of these is bad for training a model? (a) many varied examples (b) examples of every type (c) checking labels twice (d) only one kind of example
- 13.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) check who is missing (d) add more of the same
- 14.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
- 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
- 16.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) only at night (c) yes, it is smart (d) yes, it can think
- 17.🔍 Which is the odd one out? (a) AI knows everything (b) AI answers need checking (c) long answers are true (d) AI has real feelings
- 18.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
- 19.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
- 20.Which of these is training data? (a) recorded spoken words (b) naming a new leaf (c) flagging a new email (d) typing a new spoken word
- 21.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it has a screen (c) it is always right (d) it uses electricity
- 22.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
- 23.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) text (b) music or sound (c) an image
- 24.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) people (d) the Moon
- 25.🔍 Which is the odd one out? (a) wrong labels (b) new data for testing (c) photos in many lights (d) correct labels
- 26.🔍 Which is the odd one out? (a) wrong labels (b) copies of one photo (c) checking labels twice (d) blurry, unclear photos
- 27.True or false: “test on one group only” adds to bias. (a) True (b) False
- 28.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
- 29.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
- 30.True or false: “confident means correct” is a fact about AI. (a) True (b) False
- 31.🔍 Which is the odd one out? (a) writing a new poem (b) predicting rain (c) making up a story (d) inventing a recipe
- 32.True or false: a video app suggesting what to watch next is AI recommending something. (a) True (b) False
- 33.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
- 34.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
- 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) writing quiz questions (c) unlocking with a face (d) composing a new tune
- 36.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
- 37.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
- 38.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
- 39.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
- 40.Which of these is not AI? (a) an app translating signs (b) a digital watch (c) photos grouped by face (d) video suggestions
Answer key
- clear, sharp examples
- look in your textbook
- test on one group only
- True
- a simple rule is enough
- sorts or predicts
- False
- True
- text
- False
- spam
- only one kind of example
- add more of the same
- good for training
- few child voices in data
- no, it follows rules
- AI answers need checking
- not a real check
- True
- recorded spoken words
- it learns from examples
- adds to bias
- an image
- people
- wrong labels
- checking labels twice
- True
- sorts or predicts
- False
- False
- predicting rain
- True
- True
- AI
- unlocking with a face
- True
- False
- a real check
- a myth
- a digital watch
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students