Transfer of Learning
Version 1.0.0 · Updated 2026-07-28
CORE DEFINITION
Transfer learning is a research area in machine learning that focuses on storing solutions to existing problems and applying them to other different but related problems. For example, knowledge (or models) used to recognize cars can also be used to improve the ability to recognize trucks.
SCAFFOLDING EFFECT
Reduce cognitive load
Transfer learning is a research area in machine learning that focuses on storing solutions to existing problems and applying them to other different but related problems. For example, knowledge (or models) used to recognize cars can also be used to improve the ability to recognize trucks.
Anchor fast decisions
Knowledge/skills acquired in one context transfer to another context, with the effect depending on similarity of contexts and depth of processing; can be positive or negative transfer.
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- zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0verified
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