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.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the price (d) the right answer tag
- 2.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) share it online (d) trust the AI
- 3.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
- 4.🔍 Which is the odd one out? (a) examples of every type (b) clear, sharp examples (c) new data for testing (d) copies of one photo
- 5.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a summary (c) a password (d) a backup
- 6.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) never learns from data (d) gives a likely answer
- 7.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
- 8.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it may get it wrong (d) it will turn yellow
- 9.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
- 10.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
- 11.📱 What is the AI doing here: a keyboard guessing your next word? (a) generating (b) recommending (c) recognising (d) predicting
- 12.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) the learned patterns (d) the trained program
- 13.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) fix wrong labels (d) test on many groups
- 14.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) check it on paper (c) never do maths (d) ask it to hurry
- 15.🔍 Which is the odd one out? (a) only one kind of example (b) very few examples (c) checking labels twice (d) labels added at random
- 16.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
- 17.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) clear, sharp examples (d) labels added at random
- 18.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
- 19.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
- 20.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
- 21.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) predicting (c) recommending (d) recognising
- 22.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) clean screens (d) learn from data
- 23.True or false: “a story about a brave ant” asks for music or sound. (a) True (b) False
- 24.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) the trained program (d) old emails marked spam
- 25.🔍 Which is the odd one out? (a) sorting photos by face (b) unlocking with a face (c) spotting spam (d) writing a new poem
- 26.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
- 27.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) writing quiz questions (c) making up a story (d) suggesting a video
- 28.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) test on one group only (d) fix wrong labels
- 29.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
- 30.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) writing a new poem (c) drafting a letter (d) turning speech to text
- 31.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
- 32.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
- 33.True or false: “find a trusted source” is 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.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) drawing a new picture (c) unlocking with a face (d) predicting rain
- 36.✍️ How does an AI chatbot write its replies? (a) uses magic (b) copies one website (c) predicts likely words (d) asks a person
- 37.Which of these helps reduce bias? (a) copy old unfair choices (b) add varied examples (c) add more of the same (d) test on one group only
- 38.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) test on many groups (d) check who is missing
- 39.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
- 40.True or false: “it answered quickly” is a real way to check an AI answer. (a) True (b) False
Answer key
- the right answer tag
- trust the textbook
- AI
- copies of one photo
- a hallucination
- gives a likely answer
- AI
- it may get it wrong
- False
- True
- predicting
- past weather records
- ignore complaints
- check it on paper
- checking labels twice
- it learns patterns
- clear, sharp examples
- a fact
- bad for training
- good for training
- predicting
- learn from data
- False
- old emails marked spam
- writing a new poem
- False
- suggesting a video
- fix wrong labels
- old emails marked spam
- turning speech to text
- past weather records
- bad for training
- True
- True
- drawing a new picture
- predicts likely words
- add varied examples
- use one group only
- a fact
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students