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: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
- 2.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
- 3.Which of these is a fact about AI? (a) AI is never wrong (b) AI knows everything (c) AI learns from data (d) AI has real feelings
- 4.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
- 5.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
- 6.Which of these is generative AI (it makes something new)? (a) making up a story (b) sorting photos by face (c) suggesting a video (d) reading number plates
- 7.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
- 8.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, just like us (c) yes, it gets sad (d) no, it finds patterns
- 9.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) check who is missing (d) add varied examples
- 10.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
- 11.True or false: “the learned patterns” is a prediction. (a) True (b) False
- 12.🛠️ Which does this job need: translating a sentence into Hindi? (a) needs AI (learning) (b) a simple rule is enough
- 13.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
- 14.Which of these describes how AI works? (a) same steps every time (b) handles unseen examples (c) never learns from data (d) follows fixed rules
- 15.Which of these uses AI? (a) a torch (b) a printed timetable (c) a digital watch (d) a map predicting traffic
- 16.🔍 Which is the odd one out? (a) new data for testing (b) labels added at random (c) many varied examples (d) photos in many lights
- 17.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) test on many groups (d) test on one group only
- 18.True or false: “naming a new fruit photo” is the model. (a) False (b) True
- 19.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
- 20.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
- 21.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) typing a new spoken word (d) 500 labelled leaf photos
- 22.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
- 23.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) stop studying (c) trust the textbook (d) trust the AI
- 24.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) music or sound (c) an image
- 25.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
- 26.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) False (b) True
- 27.True or false: a keyboard guessing your next word is AI recommending something. (a) True (b) False
- 28.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
- 29.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
- 30.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) what training builds (d) typing a new spoken word
- 31.🔍 Which is the odd one out? (a) wrong labels (b) clear, sharp examples (c) blurry, unclear photos (d) only one kind of example
- 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
- 33.Which of these describes how AI works? (a) uses rules people wrote (b) makes a best guess (c) never learns from data (d) one set rule per case
- 34.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting a sick leaf (b) composing a new tune (c) writing quiz questions (d) writing a new poem
- 35.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
- 36.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) naming a new fruit photo (d) typing a new spoken word
- 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
- 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
- 39.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) app installer (d) artificial intelligence
- 40.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
Answer key
- False
- needs AI (learning)
- AI learns from data
- a fact
- a myth
- making up a story
- good for training
- no, it finds patterns
- use one group only
- makes something new
- False
- needs AI (learning)
- to see if it works
- handles unseen examples
- a map predicting traffic
- labels added at random
- test on one group only
- False
- no
- True
- typing a new spoken word
- a simple rule is enough
- trust the textbook
- an image
- uses AI
- True
- False
- makes something new
- uses AI
- what training builds
- clear, sharp examples
- not spam
- makes a best guess
- spotting a sick leaf
- False
- 500 labelled leaf photos
- not spam
- spam
- artificial intelligence
- few child voices in data
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students