Wonder Algorithm · Volume 5: Future Builders · AI Pre-Literacy Story 8 of 10 · Ages 7–8 · Grandpa’s friend’s farm — the hillside where the sheep graze

AI Pre-Literacy Story 8: The Farm That Counts Its Sheep

Grandpa’s friend’s farm — the hillside where the sheep graze · 10 words one per day · AI Pre-Literacy story

Conceived, Designed & Developed by Prof. Dr. M. A. Pasha & Prof. Dr. S. Pasha

1. Story — Text-Based (Day 1-2: Imagination Studio)

Read this AI Pre-Literacy story with NO pictures first. Child becomes illustrator.

The drone arrives on a Friday. A small grey quadcopter, four rotors, one camera underneath, one soft blue light on the side.

Lina is seven. Omar is eight. Pip walks beside them, tall and humanoid, blue light soft at the eyes.

Grandpa’s friend, Farmer Ben, owns the hillside farm. Sixty sheep. Maybe sixty-one. He is not sure.

“They move,” says Farmer Ben. “They hide behind rocks. I lose count.”

The drone can help. That is Computer Vision — the AI looking at a picture and saying what it sees.

The drone rises. The rotors hum. Below, the hillside is green and grey and white — the grass, the rocks, the sheep. The drone sees it all. But it does not see it the way Farmer Ben does.

The drone flies over the hillside. Its camera sees the sheep. The AI draws a box around each one. That is Object Detection — finding and naming each thing in a picture.

It follows each sheep as it walks. That is Tracking — following one thing as it moves.

It counts. That is Accuracy — how often the AI gets it right. Today, it is not right.

The drone counts fifty-nine.

“Sixty,” says Farmer Ben. “There are sixty.”

The drone misses one. The missing sheep stands behind a large rock. The camera cannot see it. That is Occlusion — when one thing hides behind another.

“It cannot see what is hidden,” says Pip. “That is a False Negative — the AI misses something that is there.”

The next day, the drone flies again. This time it counts sixty-one.

Farmer Ben laughs. “Now there are too many.”

A white rock near the fence looks like a sheep to the AI. That is a False Positive — the AI thinks it sees something that is not there.

Lina looks at the screen. “It makes two mistakes. One each way.”

“It is trying,” says Omar. “Trying is not enough.”

They sit on the grass. The sheep graze. The drone hovers.

“We can help it,” says Pip. “Draw boxes around the sheep. Show the AI what to look for. That is Annotation.”

Farmer Ben has a tablet. He draws a box around one sheep. Then another. He draws boxes around rocks too. “This is a rock. Do not count it.”

They make many pictures. Each with boxes. Sheep in one colour. Rocks in another. That is a Training Set — the pictures the AI learns from.

The drone learns. It flies again.

This time it counts sixty. Exactly sixty.

“How do you know?” says Lina.

“I counted them myself,” says Farmer Ben. “Three times. With my own eyes. That is the truth.”

“That is Ground Truth,” says Pip. “The human record the model learns from. The number that is real.”

They watch the sheep. One lamb stands apart from the flock. The drone draws a box around it. The box is blue.

“It knows it is small,” says Lina.

“It knows the difference,” says Pip.

Farmer Ben puts the tablet down. “Sixty,” he says. “And one lamb. That is the truth for today.”

The sun moves. The sheep move. The drone flies home.

Lina holds the tablet. Omar holds the notebook with the count. And Pip stands between them — tall and steady, blue light soft — because a count is only true for a moment, and the sheep will move again tomorrow.

2. Image 1 — Association Anchor (Day 3-4)

Top of Image 1 — This is what you just read, now you can see it.

The hillside farm on the afternoon the drone counts the sheep — the small grey quadcopter hovers above the green slope, four rotors spinning, one camera underneath, a soft blue light on the side. Below, white sheep graze across the hillside. Most stand in the open, but one stands behind a large grey rock — hidden from the camera. Near the fence, a white rock sits alone, shaped almost like a sheep. Farmer Ben, in a brown coat and flat cap, holds up a tablet showing the count: 59. Lina, age seven, in blue overalls and a yellow shirt with round glasses, stands beside him, looking at the screen. Omar, age eight, in a green shirt and green glasses, stands a few steps away with his arms folded. Grandpa, in a soft grey sweater, stands beside Omar. Pip, humanoid and tall, stands between them, head turned toward the hidden sheep, blue light soft at the eyes.

3. What is the purpose of this Image 1?

Purpose: To ANCHOR what child imagined in Days 1-2 to a direct picture.

Direct resemblance to this AI Pre-Literacy story — the hillside farm on the afternoon the drone counts the sheep. The small grey quadcopter hovers above the green slope. Below, white sheep graze. One sheep stands behind a large grey rock — hidden from the camera. That is Occlusion. Near the fence, a white rock sits alone — shaped almost like a sheep. That is the False Positive waiting to happen. Farmer Ben holds up a tablet showing the count: 59. That is the False Negative — one sheep missed. Lina stands beside him, looking at the screen. Omar stands a few steps away with his arms folded. Grandpa stands beside Omar. Pip stands between them, head turned toward the hidden sheep.

Use Day 3-4: Point and name together — Where is the drone? How many rotors does it have? Where is the camera? Where is the blue light? Where is the tablet, and what number is on it? Where is the sheep behind the rock? Where is the white rock that looks like a sheep? Where is Lina standing? Where is Omar standing, and what are his arms doing? Where is Grandpa? Where is Pip, and what is Pip looking at? Now look at the sheep in the open. How many can you count? That is Object Detection. The drone follows each one — that is Tracking. The drone adds them up — that is Accuracy. And the number on the tablet is not right yet.

4. Meet Your 10 Special Words — One Per Day

AI Pre-Literacy · Story 8 · Tap a card to hear the word

Computer Vision 🔊The AI looking at a picture and saying what it sees

Object Detection 🔊Finding and naming each thing in a picture

Tracking 🔊Following one thing as it moves

Accuracy 🔊How often the AI gets it right

Occlusion 🔊When one thing hides behind another

False Negative 🔊When the AI misses something that is there

False Positive 🔊When the AI thinks it sees something that is not there

Annotation 🔊Drawing boxes around things to show the AI what to look for

Training Set 🔊The pictures the AI learns from

Ground Truth 🔊The human record the model learns from — the number that is real

5. Quiz — Did You Catch It?

Story 8 Quiz — tap the answer

1. Which word means: “The AI looking at a picture and saying what it sees”?

2. Which word means: “Finding and naming each thing in a picture”?

3. Which word means: “Following one thing as it moves”?

4. Which word means: “How often the AI gets it right”?

5. Which word means: “When one thing hides behind another”?

6. Which word means: “The AI misses something that is there”?

7. Which word means: “The AI thinks it sees something that is not there”?

8. Which word means: “Drawing boxes around things to show the AI what to look for”?

9. Which word means: “The pictures the AI learns from”?

10. Which word means: “The human record the model learns from — the number that is real”?

6. Image 2 — Creator Prompt (Day 5: Imagination Studio)

This image is NOT in this AI Pre-Literacy story — this one is YOURS.

Blueprint view of the same hillside farm, drawn from above — the drone hovers at the centre of the page, half-drawn, waiting for the child to decide where it should fly next. On the ground below, the sheep are drawn as small white shapes, and one large grey rock is marked with a dotted outline — a place the drone cannot see. A blank rectangle is drawn around the rock, waiting for the child to name it. On a low wooden bench at the bottom of the page: Farmer Ben's tablet with a blank screen, a pencil, and a notebook with one line written and the rest empty. Lina holds up a small torch, pointing at the blank rectangle. Omar holds a magnifying glass, looking at one small sheep shape. Pip, humanoid and tall, stands between them with one hand on the notebook. Around them the ten vocabulary cards are pinned in a circle — Computer Vision, Object Detection, Tracking, Accuracy, Occlusion, False Negative, False Positive, Annotation, Training Set, and Ground Truth. In the corner of the page, a second drone is drawn in dotted lines — a new one the child will design.

Purpose: To CREATE a new story — child becomes author.

Look at this picture together. You already know Lina and Omar and Pip. You know what happened on the hillside farm. Now this picture shows you something new — something that did not happen in the story.

Ask your child: Who is in this picture? Where are they? The drone is half-drawn — where should it fly next? Lina is holding a torch — what is she pointing at? Omar is holding a magnifying glass — what is he looking for? Look at the sheep on the hillside. Where is the one behind the rock? What should the drone do when it cannot see a sheep — guess, or ask? Where would you draw a box to show the AI what to look for? What would you put in the Training Set — sheep, rocks, or something else? What would the Ground Truth be — who counts the sheep with their own eyes?

Let your child tell you the story out loud. Do not correct it. There is no wrong answer.

Then, if they want to, they can draw it.