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: an online shop showing “you may also like” is AI recommending something. (a) False (b) True
- 2.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
- 3.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) trust the textbook (d) stop studying
- 4.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
- 5.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
- 6.🔍 Which is the odd one out? (a) a map predicting traffic (b) a doorbell (c) an image generator (d) a spam filter
- 7.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) nobody at all (d) the weather
- 8.🔍 Which is the odd one out? (a) a calculator (b) photos grouped by face (c) an image generator (d) a voice assistant
- 9.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
- 10.🔍 Which is the odd one out? (a) a doorbell (b) a torch (c) voice typing (d) a printed timetable
- 11.True or false: “a summary of chapter 3” asks for an image. (a) True (b) False
- 12.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) writing a new poem (c) spotting spam (d) composing a new tune
- 13.True or false: “AI copies data patterns” is a myth about AI. (a) True (b) False
- 14.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
- 15.Which of these is bad for training a model? (a) photos in many lights (b) labels added at random (c) checking labels twice (d) correct labels
- 16.True or false: a car camera reading a speed sign is AI predicting something. (a) False (b) True
- 17.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
- 18.True or false: “check who is missing” helps reduce bias. (a) True (b) False
- 19.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
- 20.True or false: “one set rule per case” describes how AI works. (a) False (b) True
- 21.Which of these is training data? (a) recorded spoken words (b) naming a new fruit photo (c) flagging a new email (d) the learned patterns
- 22.Which of these describes how AI works? (a) never learns from data (b) follows fixed rules (c) same steps every time (d) improves with more data
- 23.Which of these uses AI? (a) a microwave timer (b) voice typing (c) a torch (d) a fan regulator
- 24.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
- 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
- 26.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
- 27.🔍 Which is the odd one out? (a) AI copies data patterns (b) long answers are true (c) AI can be wrong (d) AI learns from data
- 28.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
- 29.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
- 30.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
- 31.Which of these is a myth about AI? (a) AI always checks facts (b) AI can be wrong (c) AI can make up facts (d) AI copies data patterns
- 32.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
- 33.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) recognising (c) predicting (d) generating
- 34.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
- 35.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) wrong labels (d) checking labels twice
- 36.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) an image (b) music or sound (c) text
- 37.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
- 38.🔍 Which is the odd one out? (a) AI can be wrong (b) AI copies data patterns (c) confident means correct (d) AI answers need checking
- 39.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) flagging a new email (d) past weather records
- 40.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
Answer key
- True
- recorded spoken words
- trust the textbook
- a normal program
- False
- a doorbell
- people
- a calculator
- True
- voice typing
- False
- spotting spam
- False
- balanced data
- labels added at random
- False
- True
- True
- what training builds
- False
- recorded spoken words
- improves with more data
- voice typing
- makes something new
- few child voices in data
- True
- long answers are true
- False
- no, it can be wrong
- needs AI (learning)
- AI always checks facts
- False
- predicting
- data, model, prediction
- checking labels twice
- music or sound
- AI
- confident means correct
- the trained program
- good for training
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students