Implicit Learning
Version 1.0.0 · Updated 2026-07-30
CORE DEFINITION
Introduced by Arthur Reber in 1967 through artificial-grammar experiments, implicit learning describes how people pick up structured patterns without trying to and without being able to report the rule they have learned. The resulting knowledge is procedural: it shows up in performance and transfers to new instances. The key constraint is input, since the effect depends on large amounts of consistently structured material, and explicit instruction is neither necessary nor always helpful.
SCAFFOLDING EFFECT
Reduce cognitive load
- Immerse first: Soak in many examples before trying to state the rule, since exposure is what builds the pattern. - Repeat in context: Practise inside realistic tasks so the regularity is learned where it will be used. - Cross-check explicitly: Use occasional explicit review to test whether your felt intuition actually holds.
Anchor fast decisions
People can acquire complex rules (e.g., grammar, motor rhythms) unconsciously and without explicit goals, merely through exposure and practice, without being able to articulate the rules. It is the acquisition of tacit knowledge—'knowing how' without 'knowing that'.
MINIMUM ACTION
In progress 0/4Practice this model in one real situation:
account_treeGenealogyexpand_more
menu_bookReferencesexpand_more
Source support: Explicit
- zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E5%86%85%E9%9A%90%E5%AD%A6%E4%B9%A0verified
PRIVATE NOTES · Only visible to you
SAVED Q&A
ENTRY Q&A · Private saving available
Ask with a clear boundary
thinkingmodels answers from published entry context only.
Your question is sent to thinkingmodels. The answer uses public entry context only.
RELATED MODELS