design learning maps

The problem

Learning designers often produce tables of contents rather than true learning architectures. They struggle to translate static outcomes into sequenced activity graphs that account for prerequisites, cognitive load, and retention.

What it does

• Decomposes fixed learning outcomes into prerequisite, component, and transfer capabilities.
• Builds dependency graphs that map hard and soft prerequisites to prevent learner cognitive overload.
• Sequences activities using evidence-based rules like scaffolding, faded prompts, and interleaved practice.
• Calculates learner workload and active time to ensure curricula fit within notional hour constraints.
• Audits existing course maps against pedagogical rubrics to identify sequence gaps or missing retrieval cycles.

Why this beats prompting it yourself

Generic LLMs tend to generate linear lists of topics. This skill enforces a rigorous architectural workflow that prioritizes dependency logic and evidence-informed spacing over simple content coverage. It treats your outcomes as fixed constraints, ensuring the design never silently drifts from your requirements.

Use cases

• Creating a module-level activity sequence for a new professional certification.
• Auditing a university curriculum to identify where spaced retrieval is missing.
• Designing adaptive pathways that include diagnostic entry points and acceleration routes.
• Converting high-level program outcomes into development-ready activity specifications for engineers.

Known limitations

Does not design summative assessments or visual assets. Requires clear initial outcomes or learner profiles to produce high-confidence maps.