Curriculum Framework - AIO3 Docs

Learning architecture

Each module should specify prerequisite skills, key concepts, guided demonstrations, independent practice, evidence of learning, and a reflection or presentation.

Domain	Fundamental outcome	Sample evidence
Computational thinking	Explain sequences, decisions and loops	A functioning small program
Development environments	Navigate files and tools safely	A reproducible working environment
Programming & data	Write and inspect small programs	A tested mini-project
Infrastructure	Explain services, networks and containers	A documented local lab
AI literacy	Distinguish capabilities and limitations	A model evaluation log
Physical computing	Connect software to physical sensors	A supervised prototype
Agentic workflows	Understand tools, permissions and review	An auditable limited-scope workflow

Assessment philosophy

Evaluate explanation, experimentation, iteration, responsible practice, and the final artifact rather than relying on quiz scores alone.