Lateral Transfer
Updated 2026-09-10
INTRODUCTION
English translation pending.
CORE DEFINITION
Lateral transfer is the application of knowledge or skill learned in one domain to another domain of comparable complexity, in contrast to vertical transfer, which moves from simpler to more complex material. The core proposition is that learning builds reusable structures, so skills with wide transfer potential pay off repeatedly and should be prioritized when deciding what to learn. The key qualification is that transfer depends on structural similarity rather than surface resemblance: two domains that look alike but organize their knowledge differently do not transfer well.
SCAFFOLDING EFFECT
Reduce cognitive load
- Source inventory: list all the domains you already know that share structure with the new one. - Mapping exercise: write out the correspondence between the two domains explicitly. - Transfer radius: prefer foundational capabilities that apply usefully across many different domains and situations.
Anchor fast decisions
Learning extracts a structure, or schema, that is separate from the specific context in which it was acquired. When a new domain shares that structure, the existing schema can be activated rather than rebuilt, which lowers the cost of learning. How much transfers therefore depends on how closely the two domains correspond in relations and complexity, not on how similar they appear.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- wiki.mbalib.comhttps://wiki.mbalib.com/wiki/%E6%B0%B4%E5%B9%B3%E8%BF%81%E7%A7%BBverified
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