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 of these is training data? (a) what training builds (b) flagging a new email (c) the learned patterns (d) past weather records
- 2.True or false: “AI can mix up numbers” is a myth about AI. (a) False (b) True
- 3.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
- 4.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
- 5.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
- 6.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
- 7.🔍 Which is the odd one out? (a) drafting a letter (b) spotting spam (c) writing a new poem (d) drawing a new picture
- 8.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) never do maths (c) check it on paper (d) ask it to hurry
- 9.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) a sticker on a laptop (d) the font size
- 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
- 11.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
- 12.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) photos in many lights (d) blurry, unclear photos
- 13.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
- 14.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) True (b) False
- 15.🔍 Which is the odd one out? (a) labels added at random (b) checking labels twice (c) correct labels (d) many varied examples
- 16.True or false: a book app suggesting a story like your last one is AI recommending something. (a) False (b) True
- 17.🔍 Which is the odd one out? (a) a digital watch (b) a fan regulator (c) a torch (d) an app translating signs
- 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
- 19.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) clear, sharp examples (d) labels added at random
- 20.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) ask different people (d) add more of the same
- 21.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
- 22.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) music or sound (c) text
- 23.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
- 24.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) typing a new spoken word (d) 500 labelled leaf photos
- 25.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
- 26.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
- 27.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) balance the data (d) add varied examples
- 28.🔍 Which is the odd one out? (a) testing on training data (b) blurry, unclear photos (c) labels added at random (d) correct labels
- 29.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) the learned patterns (d) recorded spoken words
- 30.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
- 31.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
- 32.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) music or sound (b) text (c) an image
- 33.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) recommending (c) predicting (d) recognising
- 34.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
- 35.🔍 Which is the odd one out? (a) confident means correct (b) AI can mix up numbers (c) AI is never wrong (d) AI always checks facts
- 36.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) cooking (c) charging (d) recommending
- 37.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
- 38.True or false: “check who is missing” helps reduce bias. (a) False (b) True
- 39.True or false: “correct labels” is good for training a model. (a) True (b) False
- 40.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
Answer key
- past weather records
- False
- one-sided data
- no, it can be wrong
- False
- False
- spotting spam
- check it on paper
- the right answer tag
- a prediction
- False
- photos in many lights
- AI
- True
- labels added at random
- True
- an app translating signs
- not spam
- clear, sharp examples
- ask different people
- not a real check
- text
- a real check
- 500 labelled leaf photos
- it learns patterns
- bias from data
- skip testing
- correct labels
- recorded spoken words
- True
- AI
- an image
- recognising
- balanced data
- AI can mix up numbers
- recommending
- good for training
- True
- True
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students