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: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
- 2.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
- 3.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
- 4.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) checking labels twice (d) blurry, unclear photos
- 5.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) recommending (b) generating (c) predicting (d) recognising
- 6.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
- 7.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
- 8.Which of these describes how a normal program works? (a) learns from examples (b) spots patterns in data (c) handles unseen examples (d) never learns from data
- 9.True or false: “use one group only” adds to bias. (a) False (b) True
- 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
- 11.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
- 12.True or false: showing the time on a clock only needs a simple fixed rule. (a) False (b) True
- 13.Which of these describes how a normal program works? (a) learns from examples (b) improves with more data (c) spots patterns in data (d) one set rule per case
- 14.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
- 15.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) test on many groups (d) add varied examples
- 16.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
- 17.🔍 Which is the odd one out? (a) spotting spam (b) turning speech to text (c) suggesting a video (d) drawing a new picture
- 18.🔍 Which is the odd one out? (a) many varied examples (b) checking labels twice (c) clear, sharp examples (d) very few examples
- 19.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
- 20.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) predicting rain (c) drawing a new picture (d) suggesting a video
- 21.True or false: “try the sum on paper” is a real way to check an AI answer. (a) True (b) False
- 22.🔍 Which is the odd one out? (a) sorting photos by face (b) making up a story (c) creating a cartoon (d) inventing a recipe
- 23.True or false: turning your spoken words into typed text is AI predicting something. (a) False (b) True
- 24.🔍 Which is the odd one out? (a) AI answers need checking (b) AI copies data patterns (c) AI always checks facts (d) AI can make up facts
- 25.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
- 26.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can make up facts (c) AI learns from data (d) AI answers need checking
- 27.True or false: “the learned patterns” is a prediction. (a) True (b) False
- 28.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
- 29.📅 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
- 30.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) an image (b) music or sound (c) text
- 31.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can make up facts (c) AI knows everything (d) AI copies data patterns
- 32.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
- 33.Which of these uses AI? (a) a digital watch (b) an AI chatbot (c) a torch (d) a stopwatch
- 34.🔍 Which is the odd one out? (a) AI can mix up numbers (b) confident means correct (c) AI knows everything (d) AI is never wrong
- 35.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
- 36.True or false: “AI can mix up numbers” is a myth about AI. (a) True (b) False
- 37.True or false: “testing on training data” is good for training a model. (a) False (b) True
- 38.Which of these is a fact about AI? (a) confident means correct (b) AI is never wrong (c) long answers are true (d) AI learns from data
- 39.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
- 40.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
Answer key
- True
- no, check it anyway
- sorts or predicts
- checking labels twice
- recommending
- True
- balanced data
- never learns from data
- True
- training data
- 500 labelled leaf photos
- True
- one set rule per case
- balanced data
- copy old unfair choices
- False
- drawing a new picture
- very few examples
- a fact
- drawing a new picture
- True
- sorting photos by face
- False
- AI always checks facts
- one-sided data
- AI has real feelings
- False
- AI
- look in your textbook
- an image
- AI knows everything
- True
- an AI chatbot
- AI can mix up numbers
- the model
- False
- False
- AI learns from data
- False
- AI
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students