What learning architecture is
How content becomes capability a learner can prove.
Topics filed so learners can find them.
The abilities a learner performs, sequenced.
Proof to a defined standard.
Explore
What exists, and what problem should the learning solve?
Against three tests: methodology, structure, navigation.
The knowledge a learner brings on day one.
What the program teaches, and what it assumes.
Output → a diagnosis, the audience, and the scope
Classify
How does capability grow across the lessons?
Sort concept and technical content into an order of lessons.
Set each level with Bloom's taxonomy.
Define the proof for each capability first.
Output → a lesson sequence, a demand map, and the evidence map
Write
What gets built, and in what form?
What lives in each lesson.
Video, podcast, simulation, interactivity, decision events.
Every lesson in its final words.
Output → the outline, the media map, and the script
Validate
What must experts confirm?
Confirm the facts, the vocabulary, and the sequence.
Surface learning gaps and improvements.
Stay open until the right person closes them.
Output → a validation log, held items resolved
Evaluate
Is the learning ready for learners?
Check the learning against the standard.
Run it with a sample and read the result.
Improve what the pilot surfaces.
Output → a reviewed, refined learning experience
Improve
What do the learners' results teach us?
Reaction, learning, behavior, result.
See where learners struggle and where they succeed.
Feed what you learn into the next version.
Output → a stronger next version of the lessons
The levels of knowledge
Each level asks a little more of the mind.
The knowledge a learner brings on day one.
Runs the defined work accurately, and knows when to ask for help.
Reads a real case, then decides, configures, and validates to a standard.
Designs the standard, governs across cases, and improves the practice.
An administrator does the work for one real case. An expert designs and governs it for many.