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: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
- 2.Which of these uses AI? (a) face unlock on a phone (b) a torch (c) a light switch (d) a kitchen weighing scale
- 3.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
- 4.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) only on weekends (d) no, it finds patterns
- 5.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
- 6.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) cooking (d) printing
- 7.True or false: “check who is missing” helps reduce bias. (a) False (b) True
- 8.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
- 9.Which of these describes how AI works? (a) learns from examples (b) same steps every time (c) does exactly as coded (d) follows fixed rules
- 10.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
- 11.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
- 12.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
- 13.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the AI (c) trust the textbook (d) share it online
- 14.🔍 Which is the odd one out? (a) sorting photos by face (b) suggesting a video (c) unlocking with a face (d) drafting a letter
- 15.Which of these describes how AI works? (a) makes a best guess (b) does exactly as coded (c) same steps every time (d) one set rule per case
- 16.Which of these describes how a normal program works? (a) improves with more data (b) spots patterns in data (c) learns from examples (d) uses rules people wrote
- 17.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
- 18.🔍 Which is the odd one out? (a) spotting spam (b) making up a story (c) predicting rain (d) suggesting a video
- 19.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
- 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
- 21.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) writing a new poem (c) spotting a sick leaf (d) unlocking with a face
- 22.Which of these describes how a normal program works? (a) follows fixed rules (b) improves with more data (c) spots patterns in data (d) gives a likely answer
- 23.True or false: “the trained program” is training data. (a) True (b) False
- 24.🤖 What does AI stand for? (a) actual information (b) app installer (c) artificial intelligence (d) automatic internet
- 25.🔍 Which is the odd one out? (a) a digital watch (b) an AI chatbot (c) a calculator (d) a printed timetable
- 26.🔍 Which is the odd one out? (a) new data for testing (b) photos in many lights (c) correct labels (d) testing on training data
- 27.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
- 28.Which of these helps reduce bias? (a) check who is missing (b) test on one group only (c) skip testing (d) add more of the same
- 29.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) balance the data (d) ask different people
- 30.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
- 31.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recommending (b) generating (c) predicting (d) recognising
- 32.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
- 33.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
- 34.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) True (b) False
- 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) unlocking with a face (c) making up a story (d) drafting a letter
- 36.Which of these is a prediction? (a) past weather records (b) what training builds (c) the trained program (d) typing a new spoken word
- 37.Which of these is generative AI (it makes something new)? (a) predicting rain (b) drawing a new picture (c) reading number plates (d) unlocking with a face
- 38.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
- 39.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) False (b) True
- 40.Which of these is not AI? (a) an AI chatbot (b) an image generator (c) a voice assistant (d) a stopwatch
Answer key
- a simple rule is enough
- face unlock on a phone
- a myth
- no, it finds patterns
- a simple rule is enough
- recommending
- True
- a myth
- learns from examples
- no, it can be wrong
- makes something new
- it learns patterns
- trust the textbook
- drafting a letter
- makes a best guess
- uses rules people wrote
- more varied data
- making up a story
- True
- bias from data
- writing a new poem
- follows fixed rules
- False
- artificial intelligence
- an AI chatbot
- testing on training data
- False
- check who is missing
- add more of the same
- False
- recognising
- True
- data, model, prediction
- True
- unlocking with a face
- typing a new spoken word
- drawing a new picture
- a prediction
- True
- a stopwatch
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students