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 does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
- 2.Which of these uses AI? (a) a torch (b) face unlock on a phone (c) a printed timetable (d) a digital watch
- 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
- 4.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
- 5.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) checking labels twice (d) testing on training data
- 6.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
- 7.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) False (b) True
- 8.True or false: “typing a new spoken word” is training data. (a) True (b) False
- 9.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a list of rules only (d) a song about dogs
- 10.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) an image (c) text
- 11.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
- 12.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
- 13.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
- 14.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
- 15.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
- 16.True or false: “very few examples” is good for training a model. (a) False (b) True
- 17.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
- 18.Which of these is bad for training a model? (a) checking labels twice (b) examples of every type (c) clear, sharp examples (d) very few examples
- 19.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) ask it to repeat (c) guess (d) pick a lucky number
- 20.🔍 Which is the odd one out? (a) writing quiz questions (b) suggesting a video (c) writing a new poem (d) composing a new tune
- 21.🔍 Which is the odd one out? (a) making up a story (b) creating a cartoon (c) inventing a recipe (d) spotting a sick leaf
- 22.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) add varied examples (d) add more of the same
- 23.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
- 24.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) predicting (b) recommending (c) generating (d) recognising
- 25.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) text (b) music or sound (c) an image
- 26.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) skip testing (d) check who is missing
- 27.🔍 Which is the odd one out? (a) unlocking with a face (b) writing quiz questions (c) sorting photos by face (d) spotting spam
- 28.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
- 29.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) very few examples (d) clear, sharp examples
- 30.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
- 31.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) old emails marked spam (d) flagging a new email
- 32.True or false: showing the time on a clock needs AI that learns from examples. (a) False (b) True
- 33.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
- 34.True or false: “a cartoon of a dancing elephant” asks for an image. (a) False (b) True
- 35.✍️ How does an AI chatbot write its replies? (a) copies one website (b) uses magic (c) predicts likely words (d) asks a person
- 36.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) making up a story (c) spotting spam (d) writing quiz questions
- 37.True or false: a shop guessing how many umbrellas will sell is AI recommending something. (a) True (b) False
- 38.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it is always right (c) it uses electricity (d) it has a screen
- 39.🤖 What does AI stand for? (a) actual information (b) artificial intelligence (c) automatic internet (d) app installer
- 40.🔍 Which is the odd one out? (a) a microwave timer (b) a stopwatch (c) a kitchen weighing scale (d) a map predicting traffic
Answer key
- needs AI (learning)
- face unlock on a phone
- spam
- not a real check
- testing on training data
- to see if it works
- False
- False
- many labelled photos
- text
- True
- good for training
- False
- reduces bias
- good for training
- False
- good for training
- very few examples
- look in your textbook
- suggesting a video
- spotting a sick leaf
- add more of the same
- False
- generating
- text
- skip testing
- writing quiz questions
- a normal program
- very few examples
- a simple rule is enough
- old emails marked spam
- False
- False
- True
- predicts likely words
- spotting spam
- False
- it learns from examples
- artificial intelligence
- a map predicting traffic
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students