Sample lesson · The First Cog Curriculum

Build a Machine That Learns.

How does AI actually learn? In 75 minutes, kids find out by becoming one. Strings are the neurons. Beads are the memory. They train it, test it, and try to trick it.

Kids' hands moving beads along strings in a physical model of a learning machine
At a glance
7+Ages
75Minutes (45 for ages 7–9)
16Learners max
0Devices
String, beads, cardsMaterials (I bring them)

By the end, learners can:

  • Explain, in their own words, how a machine learns from examples
  • Train a simple model by adjusting its memory based on its mistakes
  • Predict how the model will respond to a board it hasn't seen
  • Explain why a trained model can be confidently wrong, and when not to trust it
The lesson, step by step

The First Cog Method, in 75 minutes.

Question → Strategy → Build → Test → Choose the tool. The same five steps every First Cog lesson runs on.

01 · Question
10 min

How does a machine learn?

Before anyone touches a string, kids share their guesses. Most say "someone programs it." We hold that thought.

02 · Strategy
10 min

What would a machine need to remember?

Groups decide how to describe a tic-tac-toe board and what should count as a good move or a bad one.

03 · Build
20 min

Become the network.

Strings are the connections. Beads are the memory. Every wrong answer moves a bead.

04 · Test
20 min

Play it. Train it. Trick it.

The machine gets better with every game. Then kids try boards it has never seen, and watch it fail with total confidence.

05 · Choose the tool
15 min

What did it actually learn?

Where would you trust a real AI? Where wouldn't you? When should a person check the machine's answer?

Questions that make them think

The discussion is where the learning sticks.

  • What did the machine actually learn, and what did it just memorize?
  • Why does it sound so sure when it's wrong?
  • What would happen if we trained it on bad examples?
  • Where in your life is a machine learning from you right now?
  • When should a person check the machine's answer?
Standards alignment

Mapped to the standards your school already uses.

This lesson aligns with the AI4K12 Five Big Ideas in AI, the CSTA K–12 Computer Science Standards and the ISTE Standards for Students. A full alignment chart for the First Cog Curriculum is available on request.

FrameworkStandardWhat it saysWhere it shows up
AI4K12Big Idea 3: LearningComputers can learn from data.Kids train a physical model by correcting its mistakes.
AI4K12Big Idea 2: Representation & ReasoningComputers represent the world and reason with those representations.Beads represent what the model "remembers" about each board.
AI4K12Big Idea 5: Societal ImpactAI can impact society in both positive and negative ways."When would you not trust it?" discussion.
CSTA1B-DA-07 · Grades 3–5Use data to highlight or propose cause-and-effect relationships, predict outcomes, or communicate an idea.Kids predict the model's next move from its training.
CSTA2-DA-09 · Grades 6–8Refine computational models based on the data they have generated.The core of the lesson: retrain after every wrong answer.
CSTA2-IC-20 · Grades 6–8Compare tradeoffs associated with computing technologies that affect people's everyday activities and career options.When AI helps, and when it misleads.
CSTA3A-DA-12 · Grades 9–10Create computational models that represent the relationships among different elements of data collected from a phenomenon or process.Older groups design their own network and weightings.
CSTA3B-AP-08 · Grades 11–12Describe how artificial intelligence drives many software and physical systems.High school extension: connect the beads to real systems.
ISTE1.5 Computational Thinker (incl. 1.5d)Understand how automation works and use algorithmic thinking to develop a sequence of steps to create and test automated solutions.Kids are the algorithm, then explain it.
The tip of the iceberg

This lesson is the top layer. There's a lot underneath.

Build a Machine That Learns gives your group a look at where the First Cog Curriculum leads. The curriculum itself starts at binary numbers and climbs from there. Many groups start with this lesson. You can also start the curriculum directly.

What most people seeThe sample lesson
07Learning machinesThe sample lesson lives here
What's underneathClimbs from 01
  1. 06Design
  2. 05Networks & security
  3. 04Instructions
  4. 03Algorithms
  5. 02Errors
  6. 01DataStarts here: binary numbers
Book this lesson

75 minutes. No devices. $795.

  • Up to 16 learners, ages 10+ (45-minute version for ages 7–9)
  • A second group the same day +$395
  • I bring every material; you provide a room and tables
  • At your location, within 30 minutes of Garland

Founding groups: $395 for the first 10 groups. Details →

For teachers

The full lesson plan comes with teacher training.

Teacher training includes the complete teacher script, materials list and setup guide for this lesson and others, so your staff can run it with their own students.

Every kid will use AI. Few will understand it.

The best time to start was before AI. The second best time is now.