MandalaStacks

Mandala Learning Protocol

Demonstrated Capability Through Governed Practice

Mandala Learning develops verifiable capability through assessment, active retrieval, guided application, reflection, adaptation, novel domain transfer, and parallel reassessment.

Core Principle

Learning is not passive content consumption or page completion. Capability is confirmed only when the learner can reconstruct, diagnose, and transfer structured models under variable constraints.

Active Learning Path

SROW Skill Lab

The foundational laboratory for multi-resolution structured writing and cognitive deconstruction.

Active Capability Lab

SROW Skill Lab

Estimated: 12–15 min • 9 Phases
Target Objective: Given unfamiliar prose, reconstruct its information into the five SROW resolution layers (L0 Signal, L1 Structure, L2 Meaning, L3 Expansion, L4 Immersion) without materially altering source meaning.
Baseline intake assessment
Active memory retrieval
Guided application & remediation
Novel domain transfer challenge

Architectural Position

How Learning Fits into MandalaStacks

The pathway from canonical frameworks to interactive capability.

WinMedia (defines, publishes, explains)

UKM + Domain Mandalas (structures what can be learned)

SROW (makes structured knowledge comprehensible)

MLP (governs conversion into capability)

MandalaStacks (delivers Learn, Generators, Quests)

Conceptual Authority

Read the Canonical Framework at WinMedia

Keep the conceptual source of record distinct from the interactive learning lab.