Concept Taxonomy¶

This taxonomy organizes the Coding Club learning graph's concepts into 15 categories.

Coding Club Foundations (FOUND)¶

The nature and history of coding clubs, their evolution, and the role of AI in modern club operations and intelligent textbooks.

Club charters, values, policies, safety rules, and the roles and responsibilities that keep a club legally and ethically sound.

Gauging interest, holding a first meeting, promoting the club, growing it over time, and designing the physical classroom and session flow.

Mentors, students, the 3:1 ratio, recruiting and retaining both groups, and the day-to-day relationship between them.

Choosing meeting times, registration systems, waiting lists, post-event surveys, and running the full event lifecycle.

Computational thinking skills and the coding curriculum itself: Scratch, Python, Turtle Graphics, and how lessons are sequenced.

The electronics fundamentals behind physical computing: circuits, sensors, displays, motors, and robot components.

The specific project kits used in sessions -- Moving Rainbow, robot, display, sensor, sound, and IoT kits -- and how they are managed.

Purchasing, configuring, and maintaining the laptops and Chromebooks students use, plus accounts, network, and device lifecycle.

Tracking student progress, managing communication tools, and handling club data responsibly.

Keeping students engaged through challenge cards, badges, recognition, and growth-mindset coaching.

Reaching underserved communities, removing cost and access barriers, and building an inclusive club.

Budgeting, fundraising, grant writing, and building partnerships that keep a club financially healthy.

Using AI agents for registration, communication, scheduling, curriculum customization, and mentor coaching -- with appropriate oversight.

Oversight boards, inventory systems, advanced mentor recruiting, and the succession planning that makes a club outlast its founder.