Learning Philosophy
Core beliefs
- Capability over product. Tools illustrate methods; they do not define them. Durable judgment lives in the core; volatile features live in replaceable overlays.
- Evidence over attendance. Proficiency requires observable work: authentic artifacts, reasoning, verification records, and revision.
- Verification by consequence. The greater the potential harm, the stronger the required review.
- Honest uncertainty. "Insufficient evidence" is a valid learning outcome and operational decision.
- Transfer by design. Methods are taught so they can move across tools, domains, and changing technology.
Standard learning loop
Orient → Learn → Observe → Practice → Apply → Evaluate → Reflect/Transfer → Continue
What this means in practice
- Every module follows the canonical anatomy in
01_Curriculum_Architecture/MODULE_AUTHORING_STANDARD.md. - Each module includes at least one case where AI is not the recommended answer.
- Assessments require disclosure of AI use because the curriculum teaches AI use; a polished output without traceable reasoning is insufficient evidence.
- Foundation, practitioner, and advanced describe autonomy and complexity, not seniority or hours spent.